25th International Conference on

Neural Information Processing

(ICONIP 2018)

Final Program

December 13 – 16, 2018, Siem Reap, Cambodia

December 13-16, 2018

Siem Reap, Cambodia

Welcome Messages

It is our pleasure to welcome you to the 25th International Conference on Neural

Information Processing (ICONIP 2018), to be held in Siem Reap, Cambodia, December

13-16, 2018. The ICONIP conference series started in 1994 in Seoul, which has now

become a well-established and high-quality conference on neural networks around the

world. Siem Reap is a gateway to Angkor Wat, which is one of the most important

archaeological sites in Southeast Asia, the largest religious monument in the world. All

participants of ICONIP 2018 would have a technically rewarding experience as well as

a memorable stay in this great city.

In recent years, the neural network has been significantly advanced with the great

developments in neuroscience, computer science, cognitive science, and engineering.

Many novel neural information processing techniques have been proposed as the

solutions to complex, networked and information-rich intelligent systems. To

disseminate new findings, ICONIP 2018 provided a high-level international forum for

scientists, engineers, and educators to present the state of the art of research and

applications in all fields regarding neural networks.

With the growing popularity of neural networks in recent years, we have witnessed an

increase in the number of submissions and in the quality of submissions. ICONIP 2018

received 575 submissions from 51 countries and regions across six continents. Based on

a rigorous peer-review process, where each submission was reviewed by at least three

experts, a total of 401 high-quality papers were selected for publication in the prestigious

series of Springer Lecture Notes in Computer Science. The selected papers cover a wide

range of subjects that address the emerging topics of theoretical research, empirical

studies, and applications of neural information processing techniques across different

domains.

In addition to the contributed papers, ICONIP 2018 technical program is also featured

by three plenary lectures and two invited lectures delivered by world-renowned

scholars: Prof. Marios M. Polycarpou (University of Cyprus), Prof. Masashi Sugiyama

(University of Tokyo and RIKEN Center for Advanced Intelligence Project), Prof.

Qing-Long Han (Swinburne University of Technology), Prof. Cesare Alippi

(Polytechnic of Milan), and Prof. Nikola K. Kasabov (Auckland University of

Technology).

We would like to extend our sincere gratitude to all members of the ICONIP 2018

Advisory Committee for their supports, the APNNS Governing Board for their

guidance, the International Neural Network Society and Japanese Neural Network

Society for their technical co-sponsorship, and all members of the Organizing

Committee for all their great efforts and time in organizing such an event. We would

also like to take this opportunity to thank all technical committee members and

reviewers for their professional reviews that guaranteed the high quality of the

conference proceedings. Finally, we would like to thank all the speakers, authors,

reviewers, volunteers and participants for their contributions and supports in making

ICONIP 2018 a successful event.

Enjoy the conference and enjoy your stay in Siem Reap!

Jun Wang

Long Cheng

Chi Sing Leung

Seiichi Ozawa

ICONIP History

25th International Conference on Neural Information Processing, Siem Reap, Cambodia, 2018

24th International Conference on Neural Information Processing, Guangzhou, China, 2017

23rd International Conference on Neural Information Processing, Kyoto, Japan, 2016

22nd International Conference on Neural Information Processing, Istanbul, Turkey, 2015

21st International Conference on Neural Information Processing, Kuching, Sarawak, Malaysia, 2014

20th International Conference on Neural Information Processing, Daegu, Korea, 2013

19th International Conference on Neural Information Processing, Doha, Qatar, 2012

18th International Conference on Neural Information Processing, Shanghai, China, 2011

17th International Conference on Neural Information Processing, Sydney, Australia, 2010

16th International Conference on Neural Information Processing, Bangkok, Thailand, 2009

15th IInternational Conference on Neural Information Processing, Auckland, New Zealand, 2008

14th International Conference on Neural Information Processing, Kitakyushu, Japan, 2007

13th International Conference on Neural Information Processing, Hong Kong, 2006

12th International Conference on Neural Information Processing, Taipei, 2005

11th International Conference on Neural Information Processing, Calcutta, India, 2004

10th International Conference on Neural Information Processing, Istanbul, Turkey, 2003

9th International Conference on Neural Information Processing, Singapore, 2002

8th International Conference on Neural Information Processing, Shanghai, China, 2001

7th International Conference on Neural Information Processing, Taejon, Korea, 2000

6th International Conference on Neural Information Processing, Perth, Australia, 1999

5th International Conference on Neural Information Processing, Kitakyushu, Japan, 1998

4th International Conference on Neural Information Processing, Dunedin, New Zealand, 1997

3rd International Conference on Neural Information Processing, Hong Kong, 1996

2nd International Conference on Neural Information Processing, Beijing, China, 1995

1st International Conference on Neural Information Processing, Seoul, Korea, 1994

Contents

ICONIP 2018 Organization ........................................................................................... 1

Program Committee Members ....................................................................................... 3

Sponsors ....................................................................................................................... 11

Conference Venue ........................................................................................................ 12

Registration Information .............................................................................................. 14

Instructions for Oral Presentations............................................................................... 14

Plenary and Invited Lectures ....................................................................................... 15

Plenary Lecture I: .................................................................................................. 15

Plenary Lecture II: ................................................................................................ 17

Plenary Lecture III: ............................................................................................... 18

Invited Lecture I:................................................................................................... 20

Invited Lecture II: ................................................................................................. 22

Best Paper Award Finalists .......................................................................................... 24

1. Best Paper Award Finalists ............................................................................... 24

2. Best Student Paper Award Finalists .................................................................. 24

Technical Program ....................................................................................................... 25

1

ICONIP 2018 Organization

General Chair

Jun Wang City University of Hong Kong, Hong Kong

Advisory Chairs

Akira Hirose University of Tokyo, Tokyo, Japan

Soo-Young Lee Korea Advanced Institute of Science and Technology,

Daejeon, Korea

Derong Liu Institute of Automation, Chinese Academy of Sciences,

Beijing, China

Nikhil R. Pal Indian Statistics Institute, Calcutta, India

Program Chairs

Long Cheng Institute of Automation, Chinese Academy of Sciences,

Beijing, China

Andrew C.S. Leung City University of Hong Kong, Hong Kong

Seiichi Ozawa Kobe University, Kobe, Japan

Special Sessions Chairs

Shukai Duan Southwest University, Chongqing, China

Kazushi Ikeda Nara Institute of Science and Technology, Nara, Japan

Qinglai Wei Institute of Automation, Chinese Academy of Sciences,

Beijing, China

Hiroshi Yamakawa DWANGO Co. Ltd., Tokyo, Japan

Zhihui Zhan South China University of Technology, Guangzhou, China

Tutorial Chairs

Hiroaki Gomi NTT Communication Science Laboratories, Atsugishi,

Japan

Takashi Morie Kyushu Institute of Technology, Kitakyushu, Japan

Kay Chen Tan City University of Hong Kong, Hong Kong

Dongbin Zhao Institute of Automation, Chinese Academy of Sciences,

Beijing, China

2

Publicity Chairs

Zeng-Guang Hou Institute of Automation, Chinese Academy of Sciences,

Beijing, China

Tingwen Huang Texas A&M University at Qatar, Doha, Qatar

Chia-Feng Juang National Chung-Hsing University, Taichung, Taiwan

Tomohiro Shibata Kyushu Institute of Technology, Kitakyushu, Japan

Publications Chairs

Xinyi Le Shanghai Jiao Tong University, Shanghai, China

Sitian Qin Harbin Institute of Technology Weihai, Weihai, China

Zheng Yan University Technology Sydney, Sydney, Australia

Shaofu Yang Southeast University, Nanjing, China

Registration Chairs

Shenshen Gu Shanghai University, Shanghai, China

Qingshan Liu Southeast University, Nanjing, China

Ka Chun Wong City University of Hong Kong, Hong Kong

Conference Secretariat

Ying Qu Dalian University of Technology, Dalian, China

3

Program Committee Members

Hussein Abbass University of New South Wales at Canberra

Choon Ki Ahn Korea University

Igor Aizenberg Texas A&M University at Texarkana

Shotaro Akaho National Institute of Advanced Industrial Science and

Technology

Abdulrazak Alhababi UNIMAS

Cecilio Angulo Universitat Politecnica de Catalunya

Sabri Arik Istanbul University

Mubasher Baig National University of Computer and Emerging

Sciences Lahore

Sang-Woo Ban Dongguk University

Tao Ban National Institute of Information & Communications

Technology

Boris Bačić Auckland University of Technology

Xu Bin Northwestern Polytechnical University

David Bong Universiti Malaysia Sarawak

Salim Bouzerdoum University of Wollongong

Ivo Bukovsky Czech Technical University

Ke-Cai Cao Nanjing University of Posts and Telecommunications

Elisa Capecci Auckland University of Technology

Rapeeporn Chamchong Mahasarakham University

Jonathan Chan King Mongkut’s University of Technology Thonburi

Rosa Chan City University of Hong Kong

Guoqing Chao East China Normal University

He Chen Nankai University

Mou Chen Nanjing University of Aeronautics & Astronautics

Qiong Chen South China University of Technology

Wei-Neng Chen Sun Yat-Sen University

Xiaofeng Chen Chongqing Jiaotong University

Ziran Chen Bohai University

Jian Cheng Chinese Academy of Sciences

Long Cheng Chinese Academy of Sciences

Wu Chengwei Bohai University

Zheru Chi The Hong Kong Polytechnic University

Sung-Bae Cho Yonsei University

Heeyoul Choi Handong Global University

Hyunsoek Choi Kyungpook National University

Supannada Chotipant King Mongkut’s Institute of Technology Ladkrabang

Fengyu Cong Dalian University of Technology

Jose Alfredo Ferreira Costa Federal University of Rio Grande do Norte

Ruxandra Liana Costea Polytechnic University of Bucharest

Jean-Francois Couchot University of Franche-Comté

Raphae l Couturier University Bourgogne Franche-Comté

4

Program Committee Members (continued)

Jisheng Dai Jiangsu University

Justin Dauwels Massachusetts Institute of Technology

Dehua Zhang Chinese Academy of Sciences

Mingcong Deng Tokyo University of Agriculture and Technology

Zhaohong Deng Jiangnan University

Jing Dong Chinese Academy of Sciences

Qiulei Dong Chinese Academy of Sciences

Kenji Doya Okinawa Institute of Science and Technology

El-Sayed El-Alfy King Fahd University of Petroleum and Minerals

Mark Elshaw Nottingham Trent International College

Peter Erdi Kalamazoo College

Josafath Israel Espinosa Ramos Auckland University of Technology

Issam Falih Paris 13 University

Bo Fan Zhejiang University

Yunsheng Fan Dalian Maritime University

Hao Fang Beijing Institute of Technology

Jinchao Feng Beijing University of Technology

Francesco Ferracuti Università Politecnica delle Marche

Chun Che Fung Murdoch University

Wai-Keung Fung Robert Gordon University

Tetsuo Furukawa Kyushu Institute of Technology

Hao Gao Nanjing University of Posts and Telecommunications

Yabin Gao Harbin Institute of Technology

Yongsheng Gao Griffith University

Tom Gedeon Australian National University

Ong Sing Goh Universiti Teknikal Malaysia Melaka

Iqbal Gondal Federation University Australia

Yue-Jiao Gong Sun Yat-sen University

Shenshen Gu Shanghai University

Chengan Guo Dalian University of Technology

Ping Guo Beijing Normal University

Shanqing Guo Shandong University

Xiang-Gui Guo University of Science and Technology Beijing

Zhishan Guo University of Central Florida

Christophe Guyeux University of Franche-Comte

Masafumi Hagiwara Keio University

Saman Halgamuge The University of Melbourne

Tomoki Hamagami Yokohama National University

Cheol Han Korea University at Sejong

Min Han Dalian University of Technology

Takako Hashimoto Chiba University of Commerce

5

Program Committee Members (continued)

Toshiharu Hatanaka Osaka University

Wei He University of Science and Technology Beijing

Xing He Southwest University

Xiuyu He University of Science and Technology Beijing

Akira Hirose The University of Tokyo

Daniel Ho City University of Hong Kong

Katsuhiro Honda Osaka Prefecture University

Hongyi Li Bohai University

Kazuhiro Hotta Meijo University

Jin Hu Chongqing Jiaotong University

Jinglu Hu Waseda University

Xiaofang Hu Southwest University

Xiaolin Hu Tsinghua University

He Huang Soochow University

Kaizhu Huang Xi’an Jiaotong-Liverpool University

Long-Ting Huang Wuhan University of Technology

Panfeng Huang Northwestern Polytechnical University

Tingwen Huang Texas A&M University

Hitoshi Iima Kyoto Institute of Technology

Kazushi Ikeda Nara Institute of Science and Technology

Hayashi Isao Kansai University

Teijiro Isokawa University of Hyogo

Piyasak Jeatrakul Mae Fah Luang University

Jin-Tsong Jeng National formosa University

Sungmoon Jeong Kyungpook National University Hospital

Danchi Jiang University of Tasmania

Min Jiang Xiamen University

Yizhang Jiang Jiangnan University

Xuguo Jiao Zhejiang University

Keisuke Kameyama University of Tsukuba

Shunshoku Kanae Junshin Gakuen University

Hamid Reza Karimi Politecnico di Milano

Nikola Kasabov Auckland University of Technology

Abbas Khosravi Deakin University

Rhee Man Kil Sungkyunkwan University

Daeeun Kim Yonsei University

Sangwook Kim Kobe University

Lai Kin Tunku Abdul Rahman University

Irwin King The Chinese University of Hong Kong

Yasuharu Koike Tokyo Institute of Technology

Ven Jyn Kok National University of Malaysia

Ghosh Kuntal Indian Statistical Institute

Shuichi Kurogi Kyushu Institute of Technology

6

Program Committee Members (continued)

Susumu Kuroyanagi Nagoya Institute of Technology

James Kwok The Hong Kong University of Science and

Technology

Edmund Lai Auckland University of Technology

Kittichai Lavangnananda King Mongkut’s University of Technology Thonburi

Xinyi Le Shanghai Jiao Tong University

Minho Lee Kyungpook National University

Nung Kion Lee University Malaysia Sarawak

Andrew C.S. Leung City University of Hong Kong

Baoquan Li Tianjin Polytechnic University

Chengdong Li Shandong Jianzhu University

Chuandong Li Southwest University

Dazi Li Beijing University of Chemical Technology

Li Li Tsinghua University

Shengquan Li Yangzhou University

Ya Li Institute of Automation, Chinese Academy of

Sciences

Yanan Li University of Sussex

Yongming Li Liaoning University of Technology

Yuankai Li University of Science and Technology of China

Jie Lian Dalian University of Technology

Hualou Liang Drexel University

Jinling Liang Southeast University

Xiao Liang Nankai University

Alan Wee-Chung Liew Griffith University

Honghai Liu University of Portsmouth

Huaping Liu Tsinghua University

Huawen Liu University of Texas at San Antonio

Jing Liu Chinese Academy of Sciences

Ju Liu Shandong University

Qingshan Liu Huazhong University of Science and Technology

Weifeng Liu China University of Petroleum

Weiqiang Liu Nanjing University of Aeronautics and Astronautics

Dome Lohpetch King Mongkut’s University of Technology North

Bangoko

Hongtao Lu Shanghai Jiao Tong University

Wenlian Lu Fudan University

Yao Lu Beijing Institute of Technology

Jinwen Ma Peking University

Qianli Ma South China University of Technology

Sanparith Marukatat Thailand’s National Electronics and Computer

Technology Center

7

Program Committee Members (continued)

Tomasz Maszczyk Nanyang Technological University

Basarab Matei LIPN Paris Nord University

Takashi Matsubara Kobe University

Nobuyuki Matsui University of Hyogo

P. Meesad King Mongkuts University of Technology North

Bangkok

Gaofeng Meng Chinese Academy of Sciences

Daisuke Miyamoto University of Tokyo

Kazuteru Miyazaki National Institution for Academic Degrees and

Quality Enhancement of Higher Education

Seiji Miyoshi Kansai University

J.Manuel Moreno Universitat Polit`ecnica de Catalunya

Naoki Mori Osaka Prefecture University

Yoshitaka Morimura Kyoto University

Chaoxu Mu Tianjin University

Kazuyuki Murase University of Fukui

Jun Nishii Yamaguchi University

Haruhiko Nishimura University of Hyogo

Grozavu Nistor The Paris 13 University

Yamaguchi Nobuhiko Saga University

Stavros Ntalampiras University of Milan

Takashi Omori Tamagawa University

Toshiaki Omori Kobe University

Seiichi Ozawa Kobe University

Yingnan Pan Northeastern University

Yunpeng Pan JD Research Labs

Lie Meng Pang Universiti Malaysia Sarawak

Shaoning Pang Unitec Insitute of Technol

Hyeyoung Park Kyungpook National University

Hyung-Min Park Sogang University

Seong-Bae Park Kyungpook National University

Kitsuchart Pasupa King Mongkut’s Institute of Technology Ladkrabang

Yong Peng Hangzhou Dianzi University

Somnuk Phon-Amnuaisuk Universiti Teknologi Brunei

Lukas Pichl International Christian University

Geong Sen Poh National University of Singapore

Mahardhika Pratama Nanyang Technological University

Emanuele Principi Universit`a Politecnica elle Marche

Dianwei Qian North China Electric Power University

Jiahu Qin University of Science and Technology of China

Sitian Qin Harbin Institute of Technology at Weihai

Mallipeddi Rammohan Nanyang Technological University

Yazhou Ren University of Science and Technology of China

8

Program Committee Members (continued)

Ko Sakai University of Tsukuba

Shunji Satoh The University of Electro-Communications

Gerald Schaefer Loughborough University

Sachin Sen Unitec Institute of Technology

Hamid Sharifzadeh Unitec Institute of Technology

Nabin Sharma University of Technology Sydney

Yin Sheng Huazhong University of Science and Technology

Jin Shi Nanjing University

Yuhui Shi Southern University of Science and Technology

Hayaru Shouno University of Electro-Communications

Ferdous Sohel Murdoch University

Jungsuk Song Korea Institute of Science and Technology

Information

Andreas Stafylopatis National Technical University of Athens

Jérémie Sublime ISEP

Ponnuthurai Suganthan Nanyang Technological University

Fuchun Sun Tsinghua University

Ning Sun Nankai University

Norikazu Takahashi Okayama University

Ken Takiyama Tokyo University of Agriculture and Technology

Tomoya Tamei Kobe University

Hakaru Tamukoh Kyushu Institute of Technology

Choo Jun Tan Wawasan Open University

Shing Chiang Tan Multimedia University

Ying Tan Peking University

Gouhei Tanaka The University of Tokyo

Ke Tang Southern University of Science and Technology

Xiao-Yu Tang Zhejiang Univerisity

Yang Tang East China University of Science and Technology

Qing Tao Chinese Academy of Sciences

Katsumi Tateno Kyushu Institute of Technology

Keiji Tatsumi Osaka University

Kai Meng Tay Universiti Malaysia Sarawak

Chee Siong The Universiti Malaysia Sarawak

Andrew Teoh Yonsei University

Arit Thammano King Mongkut’s Institute of Technology Ladkrabang

Christos Tjortjis International Hellenic University

Shibata Tomohiro Kyushu institute of technology

Seiki Ubukata Osaka Prefecture University

Eiji Uchino Yamaguchi University

Wataru Uemura Ryukoku University

Michel Verleysen Universite catholique de Louvain

9

Program Committee Members (continued)

Brijesh Verma Central Queensland University

Hiroaki Wagatsuma Kyushu Institute of Technology

Nobuhiko Wagatsuma Tokyo Denki University

Feng Wan University of Macau

Bin Wang University of Jinan

Dianhui Wang La Trobe University

Jing Wang Beijing University of chemical Technology

Jun-Wei Wang University of Science and Technology Beijing

Junmin Wang Beijing Institute of Technology

Lei Wang Beihang University

Lidan Wang Southwest University

Lipo Wang Nanyang Technological University

Qiu-Feng Wang Xi’an Jiaotong-Liverpool University

Sheng Wang Henan university

Bunthit Watanapa King Mongkut’s University of Technology

Saowaluk Watanapa Thammasat University

Qinglai Wei Chinese Academy of Sciences

Wei Wei Beijing Technology and Business University

Yantao Wei Central China Normal University

Guanghui Wen Southeast University

Zhengqi Wen Chinese Academy of Sciences

Hau San Wong City University of Hong Kong

Kevin Wong Murdoch University

P.K. Wong University of Macau

Kuntpong Woraratpanya King Mongkut’s Institute of Technology

Chaokuntaharn Ladkrabang

Dongrui Wu Huazhong University of Science and Technology

Si Wu Beijing Normal University

Si Wu South China University of Technology

Zhengguang Wu Zhejiang University

Tao Xiang Chongqing University

Chao Xu Zhejiang University

Zenglin Xu University of Science and Technology of China

Zhaowen Xu Zhejiang University

Tetsuya Yagi Osaka University

Toshiyuki Yamane IBM

Koichiro Yamauchi Chubu University

Xiaohui Yan Nanjing University of Aeronautics and Astronautics

Zheng Yan University of Technology Sydney

Jinfu Yang Beijing University of Technology

Jun Yang Southeast University

Minghao Yang Chinese Academy of Sciences

Qinmin Yang Zhejiang University

10

Program Committee Members (continued)

Shaofu Yang Southeast University

Xiong Yang Tianjin University

Yang Yang Nanjing University of Posts and Telecommunications

Yin Yang Hamad Bin Khalifa University

Yiyu Yao University of Regina

Jianqiang Yi Chinese Academy of Sciences

Chengpu Yu Beijing Institute of Technology

Wen Yu CINVESTAV

Wenwu Yu Southeast University

Zhaoyuan Yu Nanjing Normal University

Xiaodong Yue Shanghai University

Dan Zhang Zhejiang University

Jie Zhang Newcastle University

Liqing Zhang Shanghai Jiao Tong University

Nian Zhang University of the District of Columbia

Tengfei Zhang Nanjing University of Posts and Telecommunications

Tianzhu Zhang Chinese Academy of Sciences

Ying Zhang Shandong University

Zhao Zhang Soochow University

Zhaoxiang Zhang Chinese Academy of Sciences

Dongbin Zhao Chinese Academy of Sciences

Qiangfu Zhao University of Aizu

Zhijia Zhao Guangzhou University

Jinghui Zhong South China University of Technology

Qi Zhou University of Portsmouth

Xiaojun Zhou Central South University

Yingjiang Zhou Nanjing University of Posts and Telecommunications

Haijiang Zhu Beijing University of Chemical Technology

Hu Zhu Nanjing University of Posts and Telecommunications

Lei Zhu UNITEC Institute of Technology

Pengefei Zhu Tianjin University

Yue Zhu Nanjing University

Zongyu Zuo Beihang University

11

Sponsors

ICONIP 2018 Sponsors

➢ Asia Pacific Neural Network Society

➢ International Neural Network Society

➢ Japanese Neural Network Society

12

Conference Venue

ICONIP 2018 will be held at the Sokha Siem Reap Resort & Convention Center.

Sokha Siem Reap Resort & Convention Center is the perfect combination of luxury and

tranquility set amidst lush tropical gardens. The setting offers the authenticity of

traditional Cambodian design infused with fresh modern features and 5 star facilities

creating a unique space in Siem Reap. The location convenience with the famed

Temples of Angkor located only minutes from the resort entrance, 15 minutes from

Siem Reap International Airport and 10 minutes outside of the city centre. This central

location offers the opportunity for guests to enjoy a secluded and peaceful visit which

still offers direct and easy access to the Angkor Tourist & Cultural Complex and city

centre locations such as Pub Street and Old Market.

Location:

Road 60, Angkor Cultural & Tourism Complex Junction, Phum Trang, Sangkat

Slorkram, Siem Reap, Kingdom of Cambodia.

Homepage: http://www.sokhahotels.com/siemreap/

Telephone: +855 63 961 999

Fax: +855 63 961 888

E-mail: inforep@sokhahotels.com

13

The location of the Sokha Siem Reap Resort & Convention Center

Floor Plan of the Sokha Siem Reap Resort & Convention Center

14

Registration Information

The ICONIP 2018 registration desk, located in the Sokha Siem Reap Resort &

Convention Center Siem Reap, Cambodia, will be open during:

➢ Dec. 13, 2018 (Tuesday) 10:00–18:00

A full registrant is entitled to receive a volume of the conference proceedings and

a souvenir, attend all technical sessions, and join the welcome dinner on Dec. 13, the

banquet on Dec. 15, and three lunches and six coffee breaks on Dec. 14-16.

Additional banquet ticket costs 60USD/400RMB.

Instructions for Oral Presentations

Oral Presentation:

➢ Oral Presentation Time: 20 minutes (including discussion).

➢ Each speaker is required to meet his/her session chair in the corresponding

session room 10 minutes before the session starts and copy the slide file (PPT or

PDF) to the session’s computer. If any session chair is absent from the session, the

speaker of the first presentation in this session needs to be the session chair.

➢ Please note that each session room will be equipped with an LCD projector, a

screen, a pointer device, and a laptop or desktop computer with general

presentation software such as Microsoft PowerPoint and Adobe Reader

preinstalled. Please make sure that your files are compatible and readable with our

operation system by using commonly used fonts and symbols. If you plan to use

your own computer, please try the connection and make sure it works before your

presentation. Make sure to bring your special connectors.

15

Plenary and Invited Lectures

Plenary Lecture I:

From Machine Learning to Machine Diagnostics

Prof. Marios M. Polycarpou

Director, KIOS Research and Innovation Center of Excellence

Department of Electrical and Computer Engineering

University of Cyprus, Nicosia, Cyprus

Abstract

During the last few years, there have has been remarkable progress in utilizing machine

learning methods in several applications that benefit from deriving useful patterns

among large volumes of data. These advances have attracted significant attention from

industry due to the potential of reducing the cost of predicting future events and making

intelligent decisions based on data from past experiences. In this context, a key

application of intelligent information processing is the task of monitoring the condition

of dynamical systems, as well as detecting and diagnosing abnormal behavior,

especially in safety-critical, large-scale systems. The goal of this presentation is to

provide insight into the problem of detecting, isolating and self-correcting

abnormal/faulty or malicious behavior in large- scale dynamical systems, through

theoretical results and illustrative examples. The ultimate goal is to develop the

foundation of the concept of machine diagnostics, which would empower smart

software algorithms to monitor continuously the condition of dynamical systems during

the lifetime of their operation.

Biosketches

Marios M. Polycarpou is a Professor of Electrical and Computer

Engineering and the Director of the KIOS Research and Innovation

Center of Excellence at the University of Cyprus. He received the

B.A degree in Computer Science and the B.Sc. in Electrical

Engineering, both from Rice University, USA in 1987, and the M.S.

and Ph.D. degrees in Electrical Engineering from the University of

Southern California, in 1989 and 1992 respectively. His teaching and

research interests are in intelligent systems and networks, adaptive and cooperative

control systems, computational intelligence, fault diagnosis and distributed agents. Dr.

Polycarpou has published more than 300 articles in refereed journals, edited books and

refereed conference proceedings, and co-authored 7 books. He is also the holder of 6

patents.

Prof. Polycarpou is a Fellow of IEEE and IFAC, and was the recipient of the 2016 IEEE

Neural Networks Pioneer Award, with the citation: for pioneering the use of neural

networks and learning systems in monitoring and control. He served as the President of

the IEEE Computational Intelligence Society (2012- 2013), and as the Editor-in-Chief

16

of the IEEE Transactions on Neural Networks and Learning Systems (2004-2010). He

is currently the President of the European Control Association (EUCA). Prof.

Polycarpou has participated in more than 60 research projects/grants, funded by several

agencies and industry in Europe and the United States, including the prestigious

European Research Council (ERC) Advanced Grant and the EU Teaming project.

17

Plenary Lecture II:

Machine learning from weak supervision -Towards accurate classification with low

labeling costs

Prof. Masashi Sugiyama

University of Tokyo

Director of RIKEN Center for Advanced Intelligence Project

Japan

Abstract

Recent advances in machine learning with big labeled data allow us to achieve human-

level performance in various tasks such as speech recognition, image understanding,

and natural language translation. On the other hand, there are still many application

domains where human labor is involved in the data acquisition process and thus the use

of massive labeled data is prohibited. In this talk, I will introduce our recent advances

in classification techniques from weak supervision.

Biosketches

Masashi Sugiyama received the PhD degree in Computer Science

from Tokyo Institute of Technology, Japan in 2001. He has been

Professor at the University of Tokyo since 2014 and concurrently

appointed as Director of RIKEN Center for Advanced Intelligence

Project since 2016. His research interests include theory,

algorithms, and applications of machine learning. He (co)-authored

several books such as Density Ratio Estimation in Machine

Learning (Cambridge University Press, 2012), Machine Learning in Non-Stationary

Environments (MIT Press, 2012), Statistical Reinforcement Learning (Chapman and

Hall, 2015), and Introduction to Statistical Machine Learning (Morgan Kaufmann,

2015). He served as a Program co-chair and General co-chair of the Neural Information

Processing Systems conference in 2015 and 2016, respectively. Masashi Sugiyama

received the Japan Academy Medal in 2017.

18

Plenary Lecture III:

Neural Information Processing in Distributed Systems: A Multi-Agent Perspective

Prof. Qing-Long Han

Pro Vice-Chancellor (Research Quality)

Swinburne University of Technology

Australia

Abstract

With the development of artificial intelligence technologies, neural information

processing plays an important role in estimation, control and optimization of distributed

engineering systems modelled by multiple autonomous agents, such as cooperative

control of mobile manipulators in industrial automation systems, energy management

of smart grids, and formation control of autonomous vehicles in road transportation.

Such a multi-agent based distributed information processing strategy provides an

effective solution, which enables distributed intelligence data computing and

processing based on the interaction of neighbouring agents via communication

networks. This strategy is capable of improving efficiency, reliability and scalability of

information processing. However, it will pose new technical and theoretical challenges,

especially due to the presence of communication networks.

In this keynote talk, we will first provide some background on neural information

processing and give a brief overview of distributed information processing from a

multi-agent perspective. Then we will investigate how to perform distributed

information processing within a resource-constrained network environment, and how

to accelerate the convergence rate to achieve finite- and fixed-time distributed

consensus. Furthermore, we will explore cyber-attack issues in distributed information

processing for industrial cyber-physical systems and disclose some typical attack

models, performance metrics and attack detection methods. We will discuss

applicability of employing distributed information processing solutions in microgrids.

Finally, we will highlight some challenging issues that are worthy of future

investigation.

Bioschetches

Qing-Long Han received Ph.D. degree in Control Engineering

and Electrical Engineering from East China University of

Science and Technology, Shanghai, China, in 1997. From

September 1997 to December 1998, he was a Post-doctoral

Researcher Fellow with the Laboratoire d’Auomatique et

d’Informatique Industrielle (LAII) (currently, Laboratoire

d'Informatique et d'Automatique pour les Systèmes, LIAS),

École Supérieure d’Ingénieurs de Poitiers (ESIP) (currently,

École Nationale Supérieure d’Ingénieurs de Poitiers (ENSIP)), Université de Poitiers,

19

France. From January 1999 to August 2001, he was a Research Assistant Professor with

the Department of Mechanical and Industrial Engineering at Southern Illinois

University at Edwardsville, USA.

From December 2014 to May 2016, he was Deputy Dean (Research), with the Griffith

Sciences, and a Professor with the Griffith School of Engineering, Griffith University,

Australia. In May 2016, he joined Swinburne University of Technology, Australia,

where he is currently Pro Vice-Chancellor (Research Quality) and a Distinguished

Professor. He is also the Director of Centre for Networked Control Systems with the

School of Mechatronic Engineering and Automation, Shanghai University, China. In

March 2010, he was appointed Chang Jiang (Yangtze River) Scholar Chair Professor

by Ministry of Education, China.

Professor Han has been conducting research in the field of Control Theory and Control

Engineering. He has published over three hundred and eighty (380) fully-refereed

papers in prestigious journals and leading conferences, two research-based books

(monographs), one research-based book chapter, and edited four conference

proceedings and five special issues. In particular, since 2001, he has published two

hundred and seventeen (217) fully-refereed high quality journal articles. Among these

articles, twenty-six (26) articles are published in Automatica, and seventeen (17)

articles are published in IEEE Transactions on Automatic Control (the two best journals

in the area of automatic control) and ninety-three (93) articles are published in the most

prestigious IEEE Transactions.

As of October 4, 2018, Professor Han’s research work has been cited 17351 times with

h-index of 70, i10-index of 190 according to Google Scholar, 13888 times with h-index

of 62 according to SCOPUS, and 11372 times with h-index of 57 according to Clarivate

Analytics (formerly Thomson Reuters) Web of Science Core Collection. The Essential

Science Indicator’s (ESI) Report on September 13, 2018, which covers the period from

January 2008 to June 2018, indicated that he has 38 Highly Cited Papers.

Professor Han is one of The World's Most Influential Scientific Minds: 2014-2016, and

2018. He is a Highly Cited Researcher according to Clarivate Analytics (formerly

Thomson Reuters). He is a Fellow of The Institution of Engineers Australia. He is an

Associate Editor of a number of international journals including IEEE Transactions on

Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions

on Cybernetics, IEEE/CAA Journal of Automatica Sinica, and Information Sciences.

His research interests include networked control systems, time-delay systems, multi-

agent systems, neural networks and complex dynamical systems.

20

Invited Lecture I:

Adversarial learning and constant curvature manifolds to detect changes in

graph streams

Prof. Cesare Alippi

Politecnico di Milano, Milano, Italy

Università della Svizzera italiana, Lugano, Switzerland

Abstract

Many fields, like physics, neuroscience, chemistry, and sociology, investigate

phenomena by processing multivariate measurements advantageously represented as a

sequence of attributed graphs. Graphs come in different forms, with variable attributes,

topology, and ordering, making it difficult to perform a mathematical analysis in the

graph space. Within this framework, we are interested in the identification of possible

structural changes in the graph stream, a situation associated with time variance,

anomalies or events of interest.

Theoretic results show that, under mild hypotheses, the confidence level of an event

detected in the graph domain can be associated with another confidence level in an

embedding space; this enables the identification of events in the graph domain by

investigating embedded data. The opposite holds. However, evaluation of distances

between graphs and identification of an appropriate embedding for the problem at hand

are far from being trivial tasks. As such, in order to select the appropriate embedding

strategy we propose a deep learning approach based on generative neural adversarial

networks. This allow us to embed graphs without having to perform all computations

in the graph domain. Finally, we constrain the latent space of the adversarial network

to lie on (ensembles of) constant-curvature Riemannian manifolds, hence taking

advantage of their non-Euclidean nature. We discuss the effectiveness of what proposed

in several problems, including a real-world scenario of epileptic seizure prediction on

brain networks.

21

Bioskeches

Cesare Alippi received the degree in electronic engineering cum laude

in 1990 and the PhD in 1995 from Politecnico di Milano, Italy.

Currently, he is a Professor with the Politecnico di Milano, Milano,

Italy and Università della Svizzera italiana, Lugano, Switzerland.

Currently, he is a visiting professor at the University of Kobe, Japan,

and the University of Guangzhou, China. He has been a visiting

researcher at UCL (UK), MIT (USA), ESPCI (F), CASIA (RC),

A*STAR (SIN).

Alippi is an IEEE Fellow, Member of the Administrative Committee of the IEEE

Computational Intelligence Society, Board of Governors member of the International

Neural Network Society, Board of Directors member of the European Neural Network

Society, Past Vice-President education of the IEEE Computational Intelligence Society,

past associate editor of the IEEE Transactions on Emerging topics in computational

intelligence, the IEEE Computational Intelligence Magazine, the IEEE-Transactions on

Instrumentation and Measurements, the IEEE-Transactions on Neural Networks.

In 2018 he received IEEE CIS Outstanding Computational Intelligence Magazine

Award, the 2016 Gabor award from the International Neural Networks Society and the

IEEE Computational Intelligence Society Outstanding Transactions on Neural

Networks and Learning Systems Paper Award; in 2013 the IBM Faculty award; in 2004

the IEEE Instrumentation and Measurement Society Young Engineer Award.

Current research activity addresses adaptation and learning in non-stationary

environments, graphs learning and Intelligence for embedded and cyber-physical

systems.

He holds 8 patents, has published one monograph book, 7 edited books and about 200

papers in international journals and conference proceedings.

22

Invited Lecture II:

Deep Learning and Deep Knowledge Representation of Time-Space Data in

Brain-Inspired Spiking Neural Networks

Prof. Nikola Kasabov

Director, Knowledge Engineering and Discovery Research Institute

Auckland University of Technology, Auckland, New Zealand

Advisory/Visiting Professor Shanghai Jiaotong University, ETH/UZH Zurich and RG

University, UK

Abstract

Despite their tremendous success to learn large volumes of data, the traditional deep

neural networks lack methods to represent knowledge in their rigid structures and are

not efficient to capture spatio-temporal patterns from data that are deep in time and

space. The talk argues and demonstrates that the third generation of artificial neural

networks, the spiking neural networks (SNN), can be used to design brain-inspired

architecture that are not only capable of deep learning of spatio-temporal data, but also

enabling the extraction of deep spatio- temporal knowledge representation from the

learned models. Similarly to how the brain learns time-space data, these SNN models

do not need to be restricted in number of layers, neurons in each layer, etc. This

approach is illustrated on an exemplar SNN architecture NeuCube) and case studies of

brain and environmental data (www.kedri,.aut.ac.nz/neucube). Full details of this

presentation are included in the reference below.

Kasabov, N (2018) Time-Space, Spiking Neural Networks and Brain-Inspired Artificial

Intelligence, Springer, 750 pp, https://www.springer.com/gp/book/9783662577134

Biosketches

Professor Nikola Kasabov is Fellow of IEEE, Fellow of the

Royal Society of New Zealand, DVF of the Royal Academy

of Engineering, UK and the Scottish Computer Association.

He is the Director of the Knowledge Engineering and

Discovery Research Institute (KEDRI), Auckland and

Professor at the School of Engineering, Computing and

Mathematical Sciences at Auckland University of

Technology. Kasabov is President-Elect of the Asia Pacific Neural Network Society

(APNNS) to serve as the President in 2019. He is a Past President of the International

Neural Network Society (INNS) and APNNS. He is a member of several technical

23

committees of IEEE Computational Intelligence Society and a Distinguished Lecturer

of the IEEE CIS (2012-2014). He is a Co-Editor-in-Chief of the Springer journal

Evolving Systems and serves as Associate Editor of Neural Networks, IEEE TrNN, -

Tr CDS, -TrFS, Information Science, Applied Soft Computing and other journals.

Kasabov holds MSc and PhD from the TU Sofia, Bulgaria. His main research interests

are in the areas of neural networks, intelligent information systems, soft computing,

bioinformatics, neuroinformatics. He has published more than 600 publications. He has

extensive academic experience at various academic and research organisations in

Europe and Asia, including: TU Sofia Bulgaria; University of Essex UK; University of

Otago, NZ, Advisor Professor at the Shanghai Jiao Tong University, Visiting

Professor at ETH/University of Zurich and Robert Gordon University in the UK. Prof.

Kasabov has received a number of awards, among them: INNS Ada Lovelace

Meritorious Service Award; NN Best Paper Award; APNNA ‘Outstanding

Achievements Award’; INNS Gabor Award for ‘Outstanding contributions to

engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer

Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and

Technology Medal; the 2015 AUT Medal for outstanding academic contribution;

Honorable Member of the Bulgarian Academic Society for Computer Science and IT,

and others. More information of Prof. Kasabov can be found on the KEDRI web site:

http://www.kedri.aut.ac.nz.

24

Best Paper Award Finalists

1. Best Paper Award Finalists

(1) Reinforcement Learning Policy Network Architecture with Proportional-Integral Control

by Ye Huang, Chaochen Gu, Kaijie Wu and Xinping Guan

(2) Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF Neural

Networks

by Liang Peng, Chen Wang, Lincong Luo, Sheng Chen, Zeng-Guang Hou and Weiqun Wang

(3) Proposal of complex-valued convolutional neural networks for similar land-shape discovery

in interferometric synthetic aperture radar

by Yuki Sunaga, Ryo Natsuaki and Akira Hirose

(4) N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud

Containers

by Aliaksandr Adamenko, Andrii Fedorenko and Erich Schikuta

(5) Learning, Storing, and Disentangling Correlated Patterns in Neural Networks

by Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang and Si Wu

(6) BayesGrad: Explaining Predictions of Graph Convolutional Networks

by Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-Ichi Maeda,

Yukino Baba and Hisashi Kashima

2. Best Student Paper Award Finalists

(1) Zero-Shot Learning with Superclasses

by Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen and Zhiwu Lu

(2) A Wiener causality defined by relative entropy

by Junya Chen, Jianfeng Feng and Wenlian Lu

(3) Heterogeneous Multi-Task Learning of Evaluation Functions for Chess and Shogi

by Shanchuan Wan and Tomoyuki Kaneko

(4) Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method

by Xiaoyang Gao, Tieshan Li and Qihe Shan

(5) Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis

by Jack Dray, Elisa Capecci and Nikola Kasabov

(6) A Feature Filter for EEG Using Cycle-GAN Structure

by Yue Yao, Jo Plested and Tom Gedeon

25

Technical Program

Friday, December 14, 1:30PM-3:30PM

Award Session: FriAA1 Best Paper Award Session, Chair: Minho Lee, Room: Romdul

1:30PM Reinforcement Learning Policy Network Architecture with Proportional-Integral

Control

Ye Huang, Chaochen Gu, Kaijie Wu and Xinping Guan

1:50PM Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF

Neural Networks

Liang Peng, Chen Wang, Lincong Luo, Sheng Chen, Zeng-Guang Hou and Weiqun Wang

2:10PM Proposal of complex-valued convolutional neural networks for similar land-shape

discovery in interferometric synthetic aperture radar

Yuki Sunaga, Ryo Natsuaki and Akira Hirose

2:30PM N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud

Containers

Aliaksandr Adamenko, Andrii Fedorenko and Erich Schikuta

2:50PM Learning, Storing, and Disentangling Correlated Patterns in Neural Networks

Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang and Si Wu

3:10PM BayesGrad: Explaining Predictions of Graph Convolutional Networks

Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-Ichi Maeda,

Yukino Baba and Hisashi Kashima

FriAA2 Optimization 1, Chairs: Zhi-Hui Zhan and Sitian Qin, Room: Yihub

1:30PM An Adaptive Ant Colony System for Public Bicycle Scheduling Problem

Di Liang, Zhi-Hui Zhan and Jun Zhang

1:50PM An Artificial Neural Network for Distributed Constrained Optimization

Na Liu, Wenwen Jia, Sitian Qin and Guocheng Li

2:10PM An Estimation of Distribution Algorithm for Large-Scale Optimization with Cooperative

Co-evolution and Local Search

Jia-Ying Lin, Wei-Neng Chen and Jun Zhang

2:30PM A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix

Factorization

Hangjun Che and Jun Wang

2:50PM Modularity Maximization for Community Detection using Genetic Algorithm

Hu Lu and Dingan Liao

3:10PM A Neural Network Based Global Optimal Algorithm for Unconstrained Binary

Quadratic Programming Problem

Shenshen Gu and Xinyi Chen

26

FriAA3 Spiking Neural Networks 1, Chairs: Sou Nobukawa and Qiang Yu, Room: Champei

1:30PM Skewed and Long-Tailed Distributions of Spiking Activity in Coupled Network Modules

with Log-Normal Synaptic Weight Distribution

Sou Nobukawa, Haruhiko Nishimura and Teruya Yamanishi

1:50PM Efficient Multi-Spike Learning with Tempotron-like LTP and PSD-like LTD

Qiang Yu, Longbiao Wang and Jianwu Dang

2:10PM A Ladder-type Digital Spiking Neural Network

Hiroaki Uchida and Toshimichi Saito

2:30PM The Effects of Feedback Signals Mediated by NMDA-type Synapses for Modulating

Border-Ownership Selective Neurons in Visual Cortex

Nobuhiko Wagatsuma and Hiroaki Konno

2:50PM Modelling and Analysis of Temporal Gene Expression Data using Spiking Neural

Networks

Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai La˜na, Gautam Kishore Shahi and

Nikola Kasabov

3:10PM A Gesture Recognition Method Based on Spiking Neural Networks for Cognition

Development

Dong Niu, Dengju Li, Rui Yan and Huajin Tang

FriAA4 Classification 1, Chairs: Jacek Mándziuk and Yu Qiao, Room: Krovan

1:30PM Discrete Sparse Hashing for Cross-Modal Similarity Search

Lu Wang, Chao Ma, Enmei Tu, Jie Yang and Nikola Kasabov

1:50PM Solving the Double Dummy Bridge Problem with Shallow Autoencoders

Jacek Mándziuk and Jakub Suchan

2:10PM Cross-Project Issue Classification based on Ensemble Modeling in a Social Coding

World

Yarong Zeng, Yue Yu, Qiang Fan, Xunhui Zhang, Tao Wang, Gang Yin and Huaimin Wang

2:30PM Decision Tree Twin Support Vector Machine Based on Kernel Clustering for Multi-class

Classification

Qingyun Dou and Li Zhang

2:50PM Machine Learning Techniques for Classification of Livestock Behavior

Natasa Kleanthous, Abir Hussain, Alex Mason, Jennifer Sneddon, Paul Fergus, Andy

Shaw, Carl Chalmers and Dhiya Al-Jumeily

3:10PM A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in

DCE-MRI

Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang and Nikola Kasabov

FriAA5 Social Systems 1, Chairs: Adil Imad Eddine and Rajkumar Das, Room: Nakry

1:30PM Least Cost Rumor Influence Minimization in Multiplex Social Networks

Adil Imad Eddine Hosni, Kan Li, Ding Cangfeng and Sadique Ahmad

27

1:50PM Estimation of student classroom attention using a novel measure of head motion

coherence

Naoyuki Sato and Atsuko Tominaga

2:10PM Structure, Attribute and Homophily Preserved Social Network Embedding

Le Zhang, Xiang Li, Jiahui Shen and Xin Wang

2:30PM HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social

Behaviors in Online Social Networks

Adil Imad Eddine Hosni, Kan Li and Sadique Ahmad

2:50PM Influence of Clustering on the Opinion Formation Dynamics in Online Social Networks

Rajkumar Das, Joarder Kamruzzaman and Gour Karmakar

3:10PM Large Scale Behavioral Analysis of Ransomware Attacks

Timothy McIntosh, Julian Jang-Jaccard and Paul Watters

FriAA6 Emerging Modeling Techniques 1, Chairs: Katsutoshi Saeki and Li-Ming Zhao, Room:

Romchong

1:30PM Central Pattern Generator based on Interstitial Cell Models made from Bursting

Neuron Models

Takahiro Toizumi and Katsutoshi Saeki

1:50PM Hopfield Neural Network with Double-layer Amorphous Metal-Oxide Semiconductor

Thin-Film Devices as Crosspoint-type Synapse Elements and Working Confirmation of

Letter Recognition

Mutsumi Kimura, Kenta Umeda, Keisuke Ikushima, Toshimasa Hori, Ryo Tanaka,

Tokiyoshi Matsuda, Tomoya Kameda and Yasuhiko Nakashima

2:10PM FPGA based Hardware Implementation of Simple Dynamic Binary Neural Networks

Shunsuke Aoki, Seitaro Koyama and Toshimichi Saito

2:30PM Fast Depthwise Separable Convolution for Embedded Systems

Byeongheon Yoo, Yongjun Choi and Heeyoul Choi

2:50PM An Analog Circuit Design for k-Winners-Take-All Operations

Xiaoyang Liu and Jun Wang

3:10PM Active Feedback Framework with Scan-path Clustering for Deep Affective Models

Li-Ming Zhao, Xin-Wei Li, Wei-Long Zheng and Bao-Liang Lu

Friday, December 14, 4:00PM-6:00PM

Award Session: FriAB1 Best Student Paper Award Session, Chair: S. Arik, Room: Romdul

4:00PM Zero-Shot Learning with Superclasses

Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen and Zhiwu Lu

4:20PM A Wiener causality defined by relative entropy

Junya Chen, Jianfeng Feng and Wenlian Lu

4:40PM Heterogeneous Multi-Task Learning of Evaluation Functions for Chess and Shogi

28

Shanchuan Wan and Tomoyuki Kaneko

5:00PM Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method

Xiaoyang Gao, Tieshan Li and Qihe Shan

5:20PM Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and

Analysis

Jack Dray, Elisa Capecci and Nikola Kasabov

5:40PM A Feature Filter for EEG Using Cycle-GAN Structure

Yue Yao, Jo Plested and Tom Gedeon

FriAB2 Optimization 2, Chairs: Hong Xie and Rakesh Kumar Sanodiya, Room: Yihub

4:00PM Adaptive Crossover Memetic Differential Harmony Search for Optimizing Document

Clustering

Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung and Hong Xie

4:20PM Neurodynamics-Based Nonnegative Matrix Factorization for Classification

Nian Zhang and Keenan Leatham

4:40PM A Multi-Kernel Semi-Supervised Metric Learning using Multi-objective Optimization

Approach

Rakesh Kumar Sanodiya, Sriparna Saha and Jimson Mathew

5:00PM Software-as-a-Service Composition in Cloud Computing using Genetic Algorithm

Samuel Toh and Maolin Tang

5:20PM Evolving Computationally Efficient Hashing for Similarity Search

David Iclanzan, S´andor Szil´agyi and L´aszl´o Szil´agyi

5:40PM Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization

Chun Wa Leung, Sin Chun Ng and Andrew K Lui

FriAB3 Spiking Neural Networks 2, Chairs: Jean Benoit Heroux and Jonathan Manton,

Room: Champei

4:00PM Delayed Feedback Reservoir Computing with VCSEL

Jean Benoit Heroux, Naoki Kanazawa and Daiju Nakano

4:20PM Modeling the respiratory Central Pattern Generator with resonate-and-fire Izhikevich-

Neurons

Pavel Tolmachev, Rishi Dhingra, Michael Pauley, Mathias Dutschmann and Jonathan

Manton

4:40PM Proposal of carrier-wave reservoir computing

Akira Hirose, Gouhei Tanaka, Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki

Kanazawa, Jean Benoit Heroux, Daiju Nakano and Ryosho Nakane

5:00PM Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge

Computing

Toshiyuki Yamane, Hidetoshi Numata, Jean Benoit Heroux, Naoki Kanazawa, Seiji

Takeda, Gouhei Tanaka, Ryosho Nakane, Akira Hirose and Daiju Nakano

5:20PM SSteGAN: Self-learning Steganography Based on Generative Adversarial Networks

29

Zihan Wang, Neng Gao, Xin Wang, Xuexin Qu and Linghui Li

5:40PM NVM Weight Variation Impact on Analog Spiking Neural Network Chip

Akiyo Nomura, Megumi Ito and Atsuya Okazaki

FriAB4 Classification 2, Chairs: Sangwook Kim and Lei Zhu, Room: Krovan

4:00PM The Fuzzy Misclassification Analysis with Deep Neural Network for Handing Class

Noise Problem

Anupiya Nugaliyadde, Ratchakoon Pruengkarn and Kok Wai Wong

4:20PM Privacy-Preserving naive Bayes Classification using Fully Homomorphic Encryption

Sangwook Kim, Masahiro Omori, Takuya Hayashi, Toshiaki Omori, Lihua Wang and

Seiichi Ozawa

4:40PM Tropical fruits classification using an AlexNet-type Convolutional Neural Network and

Image Augmentation

Alberto Patino-Saucedo, Horacio Rostro-Gonzalez and Jorg Conradt

5:00PM Supervised and Semi-Supervised Multi-Task Binary Classification

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew and Arpita Raj

5:20PM Employ Decision Value for Binary Soft Classifier Evaluation with Crispy Reference

Lei Zhu, Tao Ban, Takeshi Takahashi and Daisuke Inoue

5:40PM Shape Clustering as a Type of Procrustes Analysis

Kazunori Iwata

FriAB5 Social Systems 2, Chairs: Benjamin Nussbaum and Juntao Wang, Room: Nakry

4:00PM A Lightweight Cloud Execution Stack for Neural Network Simulation

Benjamin Nussbaum and Erich Schikuta

4:20PM Intelligent University Library Information Systems to Support Students Efficient

Learning

Laszlo Barna Iantovics, Corina Rotar and Elena Nechita

4:40PM Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional

Expressions

Zhenyue Qin, Tom Gedeon and Sabrina Caldwell

5:00PM Dynamic streaming sensor data segmentation for smart environment applications

Hela Sfar and Amel Bouzeghoub

5:20PM Gaussian Process Kernels for Noisy Time Series: Application to Housing Price

Prediction

Juntao Wang, Wun Kwan Yam, Kin Long Fong, Siew Ann Cheong and K. Y. Michael

Wong

5:40PM Accounting Results Modelling with Neural Networks: The Case of an International Oil

and Gas Company

Yang Duan, Chung-Hsing Yeh and David Dowe

30

FriAB6 Stability Analysis, Chairs: Jiali Yu and Hao Qiang, Room: Romchong

4:00PM Sparse Feature Learning using Ensemble Model for Highly-correlated High-

dimensional Data

Ali Braytee, Ali Anaissi and Paul Kennedy

4:20PM Task and Instance Quadratic Ordering for Active Online Multitask Learning

Jing Zhao, Shaoning Pang, Iman Tabatabaei Ardekani, Yuji Sekiya and Daisuke

Miyamoto

4:40PM Anti-synchronization of chaotic neural networks with mixed delays

Dan Liu and Dan Ye

5:00PM Incremental stability of neural networks with switched parameters and time delays via

contraction theory of multiple norms

Hao Qiang and Wenlian Lu

5:20PM Lag synchronization of complex-valued neural networks with time delays

Jiarong Li, Haijun Jiang, Cheng Hu and Juan Yu

5:40PM Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection

Weights

Jiali Yu, Zhang Yi, Chunxiao Wang, Yong Liao and Zhixin Pang

31

Saturday, December 15, 08:00AM-10:00AM

SatMA1 Invited Talk, Room: Romdul

8:00AM Adversarial Learning and Constant Curvature Manifolds to Detect Changes in Graph

Streams

Prof. Cesare Alippi, Politecnico di Milano, Milan, Italy and Universita' della Svizzera

italiana,Lugano, Switzerland

8:40AM Deep Learning and Deep Knowledge Representation of Time-Space Data in Brain-

Inspired Spiking Neural Networks

Prof. Nikola Kasabov, Auckland University of Technology, Auckland, New Zealand

SatMA2 Feature Selection, Chairs: Jianhua Xu and Yuichi Sakumura, Room: Yihub

8:00AM Multi-label Feature Selection Method Combining Unbiased Hilbert-Schmidt

Independence Criterion with Controlled Genetic Algorithm

Chang Liu, Quan Ma and Jianhua Xu

8:20AM Anthropometric Features Based Gait Pattern Prediction Using Random Forest for

Patient-Specific Gait Training

Shixin Ren, Weiqun Wang, Zeng-Guang Hou, Xu Liang, Jiaxing Wang and Liang Peng

8:40AM Robust Multi-view Features Fusion Method Based on CNMF

Bangjun Wang, Liu Yang, Li Zhang and Fanzhang Li

9:00AM An Effective Discriminative Learning Approach for Emotion-Specific Features Using

Deep Neural Networks

Shuiyang Mao and Pak Chung Ching

9:20AM Multi-label Feature Selection Method Based on Multivariate Mutual Information and

Particle Swarm Optimization

Xidong Wang, Lei Zhao and Jianhua Xu

9:40AM Feature Selection using Distance from Classification Boundary and Monte Carlo

Simulation

Yutaro Koyama, Kazushi Ikeda and Yuichi Sakumura

SatMA3 Supervised Learning 1, Chairs: Adedamola Wuraola and Prospero Naval, Room:

Champei

8:00AM Stochasticity-Assisted Training in Artificial Neural Network

Adedamola Wuraola and Nitish Patel

8:20AM An Independent Approach to Training Classifiers on Physiological Data: An Example

using Smiles

Md Zakir Hossain and Tom Gedeon

8:40AM Mixed Precision Weight Networks: Training Neural Networks with Varied Precision

Weights

Ninnart Fuengfusin and Hakaru Tamukoh

9:00AM Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural

32

Network

Hideki Oki and Takio Kurita

9:20AM Induced Exploration on Policy Gradients by Increasing Actor Entropy using Advantage

Target Regions

Alfonso Labao, Carlo Raquel and Prospero Naval

9:40AM MCP based Noise Resistant Algorithm for Training RBF Networks and Selecting

Centers

Chi Sing Leung, Hao Wang and John Sum

SatMA4 Embedding Learning 1, Chairs: Subba Reddy Oota and Minho Lee, Room: Krovan

8:00AM fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings

Subba Reddy Oota, Naresh Manwani and Bapi Raju Surampudi

8:20AM Category-Embodied Knowledge Embedding

Maoyuan Zhang, Qi Wang, Zhou Xu, Jianping Zhu, Shuyuan Sun and Yang Wen

8:40AM Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering

Xiaohui Luo, Li Zhang, Fanzhang Li and Chengxiang Hu

9:00AM Topic-Bigram Enhanced Word Embedding Model

Qi Yang, Ruixuan Li, Yuhua Li and Qilei Liu

9:20AM Hybridized Character-Word Embedding for Korean Traditional Document Translation

Hosang Yu, Gil-Jin Jang and Minho Lee

SatMA5 Time-series Analysis, Chairs: Kitsuchart Pasupa and Min Han, Room: Nakry

8:00AM Handling Concept Drift in Time-series Data: Meta-cognitive Recurrent Recursive-

Kernel OS-ELM

Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa

8:20AM Analysis and Application of Step Size of RK4 for Performance Measure of Predictability

Horizon of Chaotic Time Series

Shoya Matsuzaki, Kazuya Matsuo and Shuichi Kurogi

8:40AM Marine Multiple Time Series Relevance Discovery Based on Complex Network

Lei Wang, Zongwen Huang, Suixiang Shi, Kuo Chen, Lingyu Xu and Gaowei Zhang

9:00AM An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification

Wei Zhang, Zhihai Wang, Jidong Yuan and Shilei Hao

9:20AM Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse

PCA

Weijie Li, Min Han and Shoubo Feng

SatMA6 Emerging Learning Approaches 1, Chairs: Miao Cheng and Tetsuo Furukawa, Room:

Romchong

8:00AM A Family of Maximum Margin Criterion for Adaptive Learning

Miao Cheng, Zunren Liu, Hongwei Zou and Ah Chung Tsoi

8:20AM Multi-task manifold learning using hierarchical modeling for insufficient samples

33

Hideaki Ishibashi, Kazushi Higa and Tetsuo Furukawa

8:40AM InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network

for Drug Abuse Detection

Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo and Zhiwu Lu

9:00AM A New Robust Stability Result for Delayed Neural Networks

Ozlem Faydasicok, Cemal Cicek and Sabri Arik

9:20AM A Novel Criterion for Global Asymptotic Stability of Neutral-Type Neural Networks with

Discrete Time Delays

Ozlem Faydasicok and Sabri Arik

9:40AM Simultaneous analysis of subjective and objective data by coupled tensor self-organizing

maps: Wine aroma analysis from sensory and chemical test

Keisuke Yoneda, Kimihiro Nakano, Keiichi Horio and Tetsuo Furukawa

Saturday, December 15, 10:30AM-12:30AM

SatMB1 Workshop: Advances in Cybersecurity 1, Room: Romdul

11:30AM Learning Adversarially for Robust Pattern Recognition

Kaizhu Huang

SatMB2 Recurrent Neural Networks, Chairs: Son Tran and Adarsh Sharma, Room: Yihub

10:30AM Improving Recurrent Neural Networks with Predictive Propagation for Sequence

Labelling

Son Tran, Qing Zhang, Anthony Nguyen, Xuan-Son Vu and Son Ngo

10:50AM Design of synthesizing multi-valued high-capacity auto-associative memories based on

complex-valued networks

Chunlin Sha and Hongyong Zhao

11:10AM Analysis on the Occurrence of Tropical cyclone in the South Pacific Region using

Recurrent Neural Network with LSTM

Adarsh Sharma, Vishal Prasad, Roneel Kumar and Anuraganand Sharma

11:30AM Combining User-based and Session-based Recommendations with Recurrent Neural

Networks

Minh Phuong Tu, Cong Thanh Tran and Xuan Bach Ngo

11:50AM EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo

Throughput Prediction

Yan Li, Ryan Wen Liu, Quandang Ma and Jingxian Liu

12:10AM Enhancing the Recurrent Neural Networks with Positional Gates for Sentence

Representation

Yang Song, Wenxin Hu, Qinmin Hu, Liang He and Qin Chen

SatMB3 Supervised Learning 2, Chairs: Chi Sing Leung and Pey Yun Goh, Room: Champei

10:30AM Fault-Resistant Algorithms For Single Layer Neural Networks

34

Chi Sing Leung, Muideen Adegoke and John Sum

10:50AM Adversarial Minimax Training for Robustness against Adversarial Examples

Ryota Komiyama and Motonobu Hattori

11:10AM A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with

Histogram

Pey Yun Goh, Shing Chiang Tan and Wooi Ping Cheah

11:30AM Convolutional Neural Network with Spectrogram and Perceptual Features for Speech

Emotion Recognition

Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo and Haotian Guan

11:50AM Brain Functional Connectivity Analysis and Crucial Channel Selection Using Channel-

Wise CNN

Jiaxing Wang, Weiqun Wang, Zeng-Guang Hou, Xu Liang, Shixin Ren and Liang Peng

12:10AM A Robust LPNN Technique for Target Localization under Hybrid TOA/AOA

Measurements

Chi Sing Leung, Muideen Adegoke and John Sum

SatMB4 Embedding Learning 2, Chairs: Jatin Goyal and Wenfeng Liu, Room: Krovan

10:30AM Meta-path Based Heterogeneous Graph Embedding for Music Recommendation

Qianqi Fang, Ling Liu, Junliang Yu and Junhao Wen

10:50AM Knowledge Graph Embedding via Entities’ Type Mapping Matrix

Md Mostafizur Rahman and Atsuhiro Takasu

11:10AM A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-tree

Wenfeng Liu, Peiyu Liu, Jing Yi, Yuzhen Yang, Weitong Liu and Nana Li

11:30AM ASD: A Framework for Generation of Task Hierarchies for Transfer in Reinforcement

Learning

Jatin Goyal, Abhijith Madan, Akshay Narayan and Shrisha Rao

11:50AM Text Simplification with Self-Attention-Based Pointer-Generator Networks

Tianyu Li, Yun Li, Jipeng Qiang and Yun-Hao Yuan

SatMB5 Biomedical Applications 1, Chairs: Zhiyong Wang and Gal Gorjup, Room: Nakry

10:30AM Deep Feature Learning and Visualization for EEG Recording Using Autoencoders

Yue Yao, Jo Plested and Tom Gedeon

10:50AM Influence of Difference of Spatial Information Obtained from a Moving Virtual Sound

Presentation on Auditory BCI

Yuki Onodera, Isao Nambu and Yasuhiro Wada

11:10AM Association Study of Alzheimer’s Disease with Tree-guided Sparse Canonical

Correlation Analysis

Shangchen Zhou, Shuai Yuan, Zhizhuo Zhang and Zenglin Xu

11:30AM Relevance of frequency of heart-rate peaks as indicator of ‘biological’ stress level

Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil Aryal and Britt Klein

11:50AM Development of a Real-Time Motor-Imagery-Based EEG Brain-Machine Interface

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Gal Gorjup, Rok Vrabiˇc, Stoyan Petrov Stoyanov, Morten Østergaard Andersen and

Poramate Manoonpong

12:10AM Robust Eye Center Localization based on an improved SVR method

Zhiyong Wang, Haibin Cai and Honghai Liu

SatMB6 Emerging Learning Approaches 2, Chairs: Jingjing Fei and Radu Tudor Ionescu,

Room: Romchong

10:30AM Active Learning Methods with Deep Gaussian Processes

Jingjing Fei, Jing Zhao, Shiliang Sun and Yan Liu

10:50AM Transductive Learning with String Kernels for Cross-Domain Text Classification

Radu Tudor Ionescu and Andrei Madalin Butnaru

11:10AM Overcoming Catastrophic Forgetting with Self-adaptive Identifiers

Fangzhou Xiong, Zhiyong Liu and Xu Yang

11:30AM MultNet: An Efficient Network Representation Learning for Large-scale Social Relation

Extraction

Jun Yuan, Neng Gao, Lei Wang and Zeyi Liu

11:50AM Heterogeneous dyadic multi-task learning with implicit feedbacks

Simon Moura, Amir Asarbaev, Massih-Reza Amini and Yury Maximov

12:10AM Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-

Correcting Output Codes

Shota Utsumi and Keisuke Kameyama

Saturday, December 15, 1:30PM-3:30PM

SatAA1 Workshop: Advances in Cybersecurity 2, Room: Romdul

1:30PM Rebellion of IoT: Infected Massive IoT Devices Observed through Darknet (TBC)

Daisuke Inoue (NICT, Japan)

2:10PM Winner Presentation of CDMC Competition

To be announced

2:30PM Mobile Malware Detection - an Analysis of the Impact of Feature Categories

Mahbub E Khoda, Joarder Kamruzzaman, Iqbal Gondal and Tasadduq Imam

2:50PM Employ Decision Value for Binary Soft Classifier Evaluation with Crispy Reference

Lei Zhu, Tao Ban, Takeshi Takahashi and Daisuke Inoue

3:10PM Deep Transfer Learning Via Minimum Enclosing Balls

Zhilong Deng, Fan Liu, Jiangjiang Zhao, Qiang Wei and Shaoning Pang

SatAA2 APNNS Board Meeting, Room: Yihub

SatAA3 Prediction 1, Chairs: Pratik Dutta and Pengcheng Li, Room: Champei

1:30PM Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A

PSO Based Approach

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Pratik Dutta, Sriparna Saha and Agni Besh Chauhan

1:50PM Prediction of Taxi Demand Based on ConvLSTM Neural Network

Pengcheng Li, Min Sun and Mingzhou Pang

2:10PM Prediction of molecular packing motifs in organic crystals by neural graph fingerprints

Daiki Ito, Raku Shirasawa, Shinnosuke Hattori, Shigetaka Tomiya and Gouhei Tanaka

2:30PM Uplift Prediction with Dependent Feature Representation in Imbalanced Treatment and

Control Conditions

Artem Betlei, Eustache Diemert and Massih-Reza Amini

2:50PM Predicting functional interactions among DNA-binding proteins

Matloob Khushi, Nazim Choudhury, Jonathan Arthur, Christine Clarke and Dinny

Graham

3:10PM Prediction Based on Online Extreme Learning Machine in WWTP Application

Weiwei Cao and Qinmin Yang

SatAA4 Convolution Neural Networks 1, Chairs: Bing-Jhang Lin and Shuiquan Wang, Room:

Krovan

1:30PM Use 3D Convolutional Neural Network to Inspect Solder Ball Defects

Bing-Jhang Lin, Ting-Chen Tsan, You-Hsien Lee, Tzu-Chia Tung and Chiou-Shann Fuh

1:50PM User-Invariant Facial Animation with Convolutional Neural Network

Shuiquan Wang, Fuqing Duan, Liang Chang, Zhengxin Cheng and Xuejun Qiao

2:10PM An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on

Convolution Neural Network

Hao Wang, Dongsheng Yang, Yongheng Pang, Ting Li and Bo Hu

2:30PM Gated Convolutional Networks for Commonsense Machine Comprehension

Wuya Chen, Xiaojun Quan and Chengbo Chen

2:50PM Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids

Muhammad Imran Razzak, Saad Ahemd, Rubiyah Yusof and Saeeda Naz

3:10PM Human action recognition with 3D convolution skip-connections and RNNs

Jiarong Song, Zhong Yang, Ting Fang, Guoxiong Hu, Jiaming Han and Cong Chen

SatAA5 Biomedical Applications 2, Chairs: Mostefa Mesbah and Liqing Zhang, Room: Nakry

1:30PM EEG Sparse Representation based Alertness States Identification using Gini Index

Muna Tageldin, Talal Mashaikki, Hamza Baali and Mostefa Mesbah

1:50PM Attention-Based Network for Cross-View Gait Recognition

Yuanyuan Huang, Jianfu Zhang, Haohua Zhao and Liqing Zhang

2:10PM Experimental Validation of Minimum-Jerk Principle in Physical Human-Robot

Interaction

Chen Wang, Liang Peng, Zeng-Guang Hou, Lincong Luo, Sheng Chen and Weiqun Wang

2:30PM Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images

Md Sazzad Hossain, Andrew Paplinski and John Betts

2:50PM The relationship between the movement difficulty and brain activity before arm

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movements

Tomoki Semoto, Isao Nambu and Yasuhiro Wada

3:10PM A Deep Learning Assisted Gene Expression Programming Framework for Symbolic

Regression Problems

Jinghui Zhong, Yusen Lin, Chengyu Lu and Zhixing Huang

SatAA6 Emerging Learning Approaches 3, Chairs: Shotaro Akaho and Zehua Zeng, Room:

Romchong

1:30PM Geometrical Formulation of the Nonnegative Matrix Factorization

Shotaro Akaho, Hideitsu Hino, Neneka Nara and Noboru Murata

1:50PM Information Geometric Perspective of Modal Linear Regression

Keishi Sando, Shotaro Akaho, Noboru Murata and Hideitsu Hino

2:10PM Learning from Audience Intelligence: Dynamic Labeled LDA Model for Time-Sync

Commented Video Tagging

Zehua Zeng, Cong Xue, Neng Gao, Lei Wang and Zeyi Liu

2:30PM Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning

Jingzhuo Yang, Yu Wang and Qinghua Hu

2:50PM Driving Control with Deep and Reinforcement Learning in The Open Racing Car

Simulator

Yuanheng Zhu and Dongbin Zhao

3:10PM Value Iteration Algorithm for Optimal Consensus Control of Multi-Agent Systems

Qichao Zhang and Dongbin Zhao

Saturday, December 15, 4:00PM-6:00PM

SatAB1 Workshop: Advances in AI, Room: Romdul

3:50PM Improving DNN Performance with Kernelized Min-Max Objective

Kai Yao, Kaizhu Huang, Rui Zhang and Amir Hussain

4:10PM Handling Concept Drift in Time-series Data: Meta-cognitive Recurrent Recursive-

Kernel OS-ELM

Zongying Liu, Chu Kiong Loo and Kitsuchart Pasupa

4:30PM Graph Matching based on Fast Normalized Cut

Yang Jing, Yang Xu, Zhou Zhangbing and Liu Zhiyong

4:50PM Overcoming Catastrophic Forgetting with Self-adaptive Identifiers

Fangzhou Xiong, Zhiyong Liu and Xu Yang

5:10PM Task and Instance Quadratic Ordering for Active Online Multitask Learning

Jing Zhao, Shaoning Pang, Iman Tabatabaei Ardekani, Yuji Sekiya and Daisuke

Miyamoto

38

SatAB2 APNNS Board meeting, Room: Yihub Room

SatAB3 Prediction 2, Chairs: Zheng Yan and Suneetha Uppu, Room: Champei

4:00PM Deep Multi-task Learning for Air Quality Prediction

Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang and Tianrui Li

4:20PM Deep Structure of Gaussian Kernel Function Networks for Predicting Daily Peak Power

Demands

Dae Hyeon Kim, Ye Jin Lee, Rhee Man Kil and Hee Yong Youn

4:40PM Convolutional Model for Predicting SNP Interactions

Suneetha Uppu and Aneesh Krishna

5:00PM Application of SMOTE and LSSVM with various Kernels for Predicting Refactoring at

Method Level

Lov Kumar, Shashank Mouli Satapathy and Aneesh Krishna

5:20PM Delving into Diversity in Substitute Ensembles and Transferability of Adversarial

Examples

Jie Hang, Keji Han and Yun Li

5:40PM Transfer Learning with Active Queries for Relational Data Modeling Across Multiple

Information Networks

Ke-Jia Chen, Kai Zhang, Xi-Lin Jiang and Yunyun Wang

SatAB4 Convolution Neural Networks 2, Chairs: Hidenori Ide and Qi Yang, Room: Krovan

4:00PM Convolutional Neural Network with Discriminant Criterion for Input of each Neuron in

Output Layer

Hidenori Ide and Takio Kurita

4:20PM Feature Learning and Transfer Performance Prediction for Video Reinforcement

Learning Tasks via a Siamese Convolutional Neural Network

Jinhua Song, Yang Gao and Hao Wang

4:40PM Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Youngjoo Seo, Micha¨el Defferrard, Pierre Vandergheynst and Xavier Bresson

5:00PM RE-CNN: A Robust Convolutional Neural Networks for Image Recognition

Zhe Wang, Wenhuan Lu, Yuqing He, Naixue Xiong and Jianguo Wei

5:20PM Self-Inhibition Residual Convolutional Networks for Chinese Sentence Classification

Mengting Xiong, Ruixuan Li, Yuhua Li and Qi Yang

SatAB5 Biomedical Applications 3, Chairs: Chia-Feng Juang and Deloula Mansouri, Room:

Nakry

4:00PM Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster

R-CNN

Ying-Chih Lo, Chia-Feng Juang, I-Fang Chung, Shin-Ning Guo, ManLing Huang, Mei-

Chin Wen, Cheng-Jian Lin and Hsueh-Yi Lin

4:20PM One-Bit DNA Compression Algorithm

39

Deloula Mansouri and Yuan Xiaohui

4:40PM Robust Segmentation of Overlapping Cells in Cervical Cytology Using Light

Convolution Neural Network

Shusong Xu, Chen Sang, Zengchang Qin, Yulan Jin and Tao Wan

5:00PM Semantic Similarity Measures to Disambiguate Terms in Medical Text

Kai Lei, Jiyue Huang, Shangchun Si and Ying Shen

5:20PM 3D Large Kernel Anisotropic Network for Brain Tumor Segmentation

Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren J. O’Donnell and Weidong

Cai

5:40PM Improved Nuclear Segmentation on Histopathology Images Using A Combination of

Deep Learning and Active Contour Model

Lei Zhao, Tao Wan, Hongxiang Feng and Zengchang Qin

SatAB6 Emerging Learning Approaches 4, Chairs: Zilong Ji and Tulika Saha, Room:

Romchong

4:00PM Neural Information Processing in Hierarchical Prototypical Networks

Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi and Si Wu

4:20PM Regularized Tensor Learning with Adaptive One-Class Support Vector Machines

Ali Anaissi, Young Lee and Mohamad Naji

4:40PM Semi-Supervised Multi-Label Dimensionality Reduction via Low Rank Representation

Yezi Liu and Qiaoyu Tan

5:00PM Visualization method of viewpoints latent in a dataset

Hideaki Ishibashi

5:20PM Localized multiple sources Self-Organizing Map

Ludovic Platon, Farida Zehraoui and Fariza Tahi

5:40PM Reinforcement Learning based Dialogue Management Strategy

Tulika Saha, Dhawal Gupta, Sriparna Saha and Pushpak Bhattacharyya

40

Sunday, December 16, 8:00AM-10:00AM

SunMA1 Robotics and Control 1, Chairs: Biao Luo and Fayeem Aziz, Room: Romdul

8:00AM Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties

Yuqi Liu, Haojie Li, Wenjie Wu, Dan Wang and Zhouhua Peng

8:20AM Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-

Player Zero-Sum Game

Shan Xue, Biao Luo, Derong Liu and Yueheng Li

8:40AM Q Value-based Dynamic Programming with Boltzmann Distribution by Using Neural

Network

Wenxin Yu, Liang Yu, Gang He, Yibo Fan, Gang He, Jiu Xu, Zhuo Yang and Zhiqiang

Zhang

9:00AM Data-driven and Collision-free Hybrid Crowd Simulation Model for Real Scenario

Qingrong Cheng, Zhiping Duan and Xiaodong Gu

9:20AM Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise

Fayeem Aziz, Aaron S. W. Wong, James S. Welsh and Stephan K. Chalup

SunMA2 Detection 1, Chairs: Xiaoliang Xie and Weizhou Liu, Room: Yihub

8:00AM Guide-wire Detecting Based on Speeded up Robust Features for Percutaneous

Coronary Intervention

Pusit Prasong, Xiaoliang Xie and Zeng-Guang Hou

8:20AM New default box strategy of SSD for small target detection

Yu Yao He, Bao Qi Li and Yaohua Zhao

8:40AM Drogue Detection for Autonomous Aerial Refueling Based on Adaboost and

Convolutional Neural Networks

Yanjie Guo, Yimin Deng and Haibin Duan

9:00AM Deep Neural Network based Salient Object Detection with Image Enhancement

Lecheng Zhou and Xiaodong Gu

9:20AM Brain Slices Microscopic Detection Using Simplified SSD with Cycle-GAN Data

Augmentation

Weizhou Liu, Long Cheng and Deyuan Meng

9:40AM Intra-class Structure Aware Networks for Screen Defect Detection

Chengchao Shen, Jie Song, Shuyi Song, Sihui Luo, Li Sun and Mingli Song

SunMA3 Image and Signal Processing 1, Chairs: Kaijie Wu and Dong-Dong Niu, Room:

Champei

8:00AM Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography

Jinhua Sheng, Bin Chen, Bocheng Wang, Qingqiang Liu, Yangjie Ma and Weixiang Liu

8:20AM SCE-MSPFS: A Novel Deep Convolutional Features Selection Method for Image

Retrieval

Dong-Dong Niu, Yong Feng, Jia-Xing Shang and Bao-Hua Qiang

41

8:40AM A Pathology Image Diagnosis Network with Visual Interpretability and Structured

Diagnostic Report

Kai Ma, Kaijie Wu, Hao Cheng, Chaochen Gu, Rui Xu and Xinping Guan

9:00AM Sketch-based Image Retrieval via Compact Binary Codes Learning

Xinhui Wu and Shuangjiu Xiao

9:20AM Fast Portrait Matting Using Spatial Detail-Preserving Network

Shaofan Cai, Biao Leng, Zheng Ge and Guanglu Song

SunMA4 Deep Neural Networks 1, Chairs: John Lewis and Yanling Tian, Room: Krovan

8:00AM Adaptive Deep Dictionary Learning For MRI Reconstruction

John Lewis, Vanika Singhal and Angshul Majumdar

8:20AM Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization

Xingyu Chen, Fanghui Liu, Enmei Tu, Longbin Cao and Jie Yang

8:40AM Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot

Changsheng Lu, Haotian Wang, Chaochen Gu, Kaijie Wu and Xinping Guan

9:00AM Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning

Yanling Tian, Weitong Zhang, Qieshi Zhang, Jun Cheng, Pengyi Hao and Gang Lu

9:20AM Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of

Images

Sunny Verma, Wei Liu, Chen Wang and Liming Zhu

9:40AM On a fitting of a heaviside function by deep ReLU neural networks

Katsuyuki Hagiwara

SunMA5 Pattern Recognition 1, Chairs: Bao-Liang Lu and Linkai Luo, Room: Nakry

8:00AM Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis

Jie-Lin Qiu, Wei Liu and Bao-Liang Lu

8:20AM Neural Machine Translation for Financial Listing Documents

Linkai Luo, Haiqin Yang, Sai Cheong Siu and Francis Y.L. Chin

8:40AM Unfamiliar Dynamic Hand Gestures Recognition Based on Zero-Shot Learning

Jinting Wu, Kang Li, Xiaoguang Zhao and Min Tan

9:00AM Convolutional Neural Network for Machine-Printed Traditional Mongolian Font

Recognition

Hongxi Wei, Ya Wen, Weiyuan Wang and Guanglai Gao

9:20AM WGAN Domain Adaptation for EEG-Based Emotion Recognition

Yun Luo, Si-Yang Zhang, Wei-Long Zheng and Bao-Liang Lu

SunMA6 Emerging Modeling Techniques 2, Chairs: Wonjik Kim and Zihao Dong, Room:

Romchong

8:00AM Improved Kernel Density Estimation Self-organizing Incremental Neural Network to

Perform Big Data Analysis

Wonjik Kim and Osamu Hasegawa

42

8:20AM Multi-Scale feature Decode and Fuse Model with CRF Layer for Boundary Detection

Zihao Dong, Ruixun Zhang and Xiuli Shao

8:40AM Sentimental Analysis for AIML-based E-Health Conversational Agents

Son Tran, David Ireland and Hamed Hassanzadeh

9:00AM Hashtag Recommendation with Attention-Based Neural Image Hashtagging Network

Gaosheng Wu, Yuhua Li, Wenjin Yan, Ruixuan Li, Xiwu Gu and Qi Yang

9:20AM CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values

Paul Andrei Bricman and Radu Tudor Ionescu

Sunday, December 16, 10:30AM-12:30AM

SunMB1 Robotics and Control 2, Chairs: Guanghui Wen and Muhammad Haris, Room:

Romdul

10:30AM Pinning Synchronization of Complex Networks With Switching Topology and Dynamic

Target System

Guanghui Wen, Xinghuo Yu, Peijun Wang and Wenwu Yu

10:50AM Comparing Computing Platforms for Deep Learning on a Humanoid Robot

Alexander Biddulph, Trent Houliston, Alexandre Mendes and Stephan Chalup

11:10AM Robot Navigation on Slow Feature Gradients

Muhammad Haris, Mathias Franzius and Ute Bauer-Wersing

11:30AM Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for

Autonomous Surface Vehicles

Jiasen Wang and Jun Wang

11:50AM Adaptive finite-time synchronization of inertial neural networks with time-varying

delays via intermittent control

Lin Cheng and Yongqing Yang

12:10AM Adaptive Critic Designs for Optimal Control of Ice Storage Air Conditioning Systems

Zehua Liao and Qinglai Wei

SunAA2 Detection 2, Chairs: Mahbub E Khoda and Liqing Zhang, Room: Yihub

10:30AM Mobile Malware Detection - an Analysis of the Impact of Feature Categories

Mahbub E Khoda, Joarder Kamruzzaman, Iqbal Gondal and Tasadduq Imam

10:50AM Recurrent RetinaNet: A Video Object Detection Model Based on Focal Loss

Xiaobo Li, Haohua Zhao and Liqing Zhang

11:10AM Neural Causality Detection for Multi-dimensional Point Processes

Tianyu Wang, Christian Walder and Tom Gedeon

11:30AM Density-induced Support Vector Data Description for Fault Detection on Tennessee

Eastman Process

Yangtao Xue, Li Zhang, Bangjun Wang and Baige Tang

11:50AM Actor Model Anomaly Detection Using Kernel Principal Component Analysis

Chunze Wang, Jing Wang, Chun Wang and Qiwei Shen

43

12:10AM Passive Detection of Splicing and Copy-Move Attacks in Image Forgery

Mohammad Manzurul Islam, Joarder Kamruzzaman, Gour Karmakar, Manzur Murshed

and Gayan Kahandawa

SunMB3 Image and Signal Processing 2, Chairs: Muhammad Zeeshan Baig and Jiachun

Wang, Room: Champei

10:30AM EEG Signal Analysis in 3D Modelling to Identify Correlations between Task

Completion in Design User’s Cognitive Activities

Muhammad Zeeshan Baig and Manolya Kavakli

10:50AM Intelligent Educational Data Analysis with Gaussian Processes

Jiachun Wang, Jing Zhao, Shiliang Sun and Dongyu Shi

11:10AM Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote

Sensing Images

Xuewei Li, Hongqian Shen, Chenhan Wang, Han Jiang, Ruiguo Yu, Jianrong Wang and

Mankun Zhao

11:30AM An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-ray CT Image

Reconstruction

Jinhua Sheng, Bin Chen, Bocheng Wang, Yangjie Ma, Qingqiang Liu and Weixiang Liu

11:50AM DeepITQA: Deep Based Image Text Quality Assessment

Hongyu Li, Fan Zhu and Junhua Qiu

SunMB4 Deep Neural Networks 2, Chairs: Sihui Luo and Parham M. Kebria, Room: Krovan

10:30AM Efficient Integer Vector Homomorphic Encryption Using Deep Learning for Neural

Networks

Tianying Xie and Yantao Li

10:50AM DeepSIC: Deep Semantic Image Compression

Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao and Mingli Song

11:10AM Teach to Hash: A Deep Supervised Hashing Framework with Data Selection

Xiang Li, Chao Ma, Jie Yang and Yu Qiao

11:30AM Multi-view Deep Gaussian Processes

Shiliang Sun and Qiuyang Liu

11:50AM Data Imputation of Wind Turbine Using Generative Adversarial Nets with Deep

Learning Models

Fuming Qu, Jinhai Liu, Xiaowei Hong and Yu Zhang

12:10AM Deep Imitation Learning: The Impact of Depth on Policy Performance

Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Dipu Kabir,

Afsaneh Koohestani, Roohallah Alizadehsani and Saeid Nahavandi

SunMB5 Pattern Recognition 2, Chairs: Tom Gedeon and Qiaoming Zhu, Room: Nakry

10:30AM Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing

Pupillary Dilation Signals from Different Participants

44

Zhenyue Qin, Tom Gedeon, Lu Chen, Xuanying Zhu and Md Zakir Hossain

10:50AM Interactive sketch recognition framework for geometric shapes

Abdelrahman Fahmy, Wael Abdelhamid and Amir Atiya

11:10AM Event Factuality Identification via Hybrid Neural Networks

Zhong Qian, Peifeng Li, Guodong Zhou and Qiaoming Zhu

11:30AM A Storm-based Parallel Clustering Algorithm of Streaming Data

Fang-Zhu Xu, Zhi-Ying Jiang, Yan-Lin He, Ya-Jie Wang and QunXiong Zhu

11:50AM Leveraging Similar Reviews to Discover What Users Want

Zongze Jin, Yun Zhang, Weimin Mu and Weiping Wang

12:10AM Deep Learning for Real Time Facial Expression Recognition in Social Robots

Ariel Ruiz-Garcia, Nicola Webb, Vasile Palade, Mark Eastwood and Mark Elshaw

SunMB6 Emerging Modeling Techniques 3, Chairs: Adedamola Wuraola and Srinivasa

Chakravarthy, Room: Romchong

10:30AM Computationally Efficient Radial Basis Function

Adedamola Wuraola and Nitish Patel

10:50AM A Model for Age and Gender Profling of Social Media Accounts Based on Post

Contents

Jan Kristoffer Cheng, Avril Ranezca Fernandez, Rissa Grace Marie Quindoza, Shayane

Tan and Charibeth Cheng

11:10AM Scene Graph Generation based on Node-relation Context Module

Xin Lin, Yonggang Li, Chunping Liu, Yi Ji and Jianyu Yang

11:30AM Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map

Bhadra S. Kumar, Avinash Kori, Sundari Elango and Srinivasa Chakravarthy

11:50AM Analysis, Classication and Marker Discovery of Gene Expression Data with Evolving

Spiking Neural Networks

Gautam Kishore Shahi, Imanol Bilbao, Elisa Capecci, Durgesh Nandini, Maria Choukri

and Nikola Kasabov

12:10AM An Effective Single-Image Super-Resolution Model Using Squeeze-andExcitation

Networks

Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye and Mingwen Wang

Sunday, December 16, 1:30PM-3:30PM

SunAA1 Robotics and Control 3, Chairs: Seul Jung and Sayan Sinha, Room: Romdul

1:30PM Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning

Accounting for Momentum in Cost Function

Sayan Sinha, Ashish Kumar Gaurav, Mehul Kumar Nirala and Saurabh Agarwal

1:50PM Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network

Kumar Dheenadayalan, Muralidhara V N and Gopalakrishnan Srinivasaraghavan

2:10PM Modelling Predictive Information of Stochastic Dynamics in the Retina

45

Min Yan, Yiko Chen, C. K. Chan and K. Y. Michael Wong

2:30PM A Neural Network Compensation Technique for an Inertia Estimation Error of a Time

delayed Controller for a Robot Manipulator

Seul Jung

2:50PM Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field

for Image Segmentation

Jialiang Hu and Ying Wen

SunAA2 Detection 3, Chairs: Xinyi Le and Yu Qiao, Room: Yihub

1:30PM Learning Latent Byte-level feature representation for Malware Detection

Mahmood Yousefi-Azar, Len Hamey, Vijay Varadharajan and Shiping Chen

1:50PM Occlusion Detection in Visual Tracking: A New Framework and A New Benchmark

Xiaoguang Niu, Yueyang Gu, Zhifeng Lu, Zehua Hong, Yi Tian, Kuan Xu, Jie Yang,

Xingqi Fang and Yu Qiao

2:10PM Detecting the Doubt Effect and Subjective Beliefs using Neural Networks and

Observers’ Pupillary Responses

Xuanying Zhu, Zhenyue Qin, Tom Gedeon, Richard Jones, Md Zakir Hossain and Sabrina

Caldwell

2:30PM Driver Sleepiness Detection Using LSTM Neural Network

Yini Deng, Yingying Jiao and Bao-Liang Lu

2:50PM A Deep Learning based Multi-task Ensemble Model for Intent Detection and Slot Filling

in Spoken Language Understanding

Mauajama Firdaus, Shobhit Bhatnagar, Asif Ekbal and Pushpak Bhattacharyya

3:10PM An Image-Based Approach for Defect Detection on Decorative Sheets

Boyu Zhou, Xin He, Zhongyi Zhou and Xinyi Le

SunAA3 Image and Signal Processing 3, Chairs: Aneta Neumann and Shuichi Kurogi, Room:

Champei

1:30PM Cascaded deep hashing for large-scale image retrieval

Jun Lu and Li Zhang

1:50PM Text-Independent Speaker Verification from Mixed Speech of Multiple Speakers Via

Using Pole Distribution of Speech Signals

Toshiki Tagomori, Kazuya Matsuo and Shuichi Kurogi

2:10PM Deep adaptive update of discriminant KCF for visual tracking

Xin Ning, Weijun Li and Weijuan Tian

2:30PM Evolution of Images with Diversity and Constraints using a Generative Adversarial

Network

Aneta Neumann, Christo Pyromallis and Bradley Alexander

2:50PM Linear Periodic Discriminant Analysis of Multidimensional Signals

Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, Andr´e Mouraux and Michel Verleysen

46

SunAA4 Deep Neural Networks 3, Chairs: Kaizhu Huang and Xuhong Wei, Room: Krovan

1:30PM Improving DNN Performance with Kernelized Min-Max Objective

Kai Yao, Kaizhu Huang, Rui Zhang and Amir Hussain

1:50PM Accelerating Deep Q Network by weighting experiences

Kazuhiro Murakami, Koichi Moriyama, Atsuko Mutoh, Tohgoroh Matsui and Nobuhiro

Inuzuka

2:10PM Exploring Deep Learning Architectures coupled with CRF based Prediction for Slot-

Filling

Tulika Saha, Sriparna Saha and Pushpak Bhattacharyya

2:30PM Domain Adaptation via Identical Distribution Across Models and Tasks

Xuhong Wei, Yefei Chen and Jianbo Su

2:50PM A Pointer Network Based Deep Learning Algorithm for the Max-cut Problem

Shenshen Gu and Yue Yang

SunAA5 Pattern Recognition 3, Chairs: Yang Xu and Nikita Gordienko, Room: Nakry

1:30PM Cross-Subject Emotion Recognition Using Domain Adaptation Networks

He Li, Yi-Ming Jin, Wei-Long Zheng and Bao-Liang Lu

1:50PM Open Source Dataset and Machine Learning Techniques for Automatic Recognition of

Historical Graffiti

Nikita Gordienko, Gang Peng, Yuri Gordienko, Wei Zeng, Oleg Alienin, Oleksandr

Rokovyi and Sergii Stirenko

2:10PM Supervised Two-Dimensional CCA for Multiview Data Representation

Yun-Hao Yuan, Hui Zhang, Yun Li, Jipeng Qiang and Wenyan Bao

2:30PM Graph Matching based on Fast Normalized Cut

Yang Jing, Yang Xu, Zhou Zhangbing and Liu Zhiyong

2:50PM Improving Off-line Handwritten Chinese Character Recognition with Semantic

Information

Hongjian Zhan, Shujing Lyu and Yue Lu

3:10PM Mongolian Word Segmentation Based on Three Character Level Seq2Seq Models

Na Liu, Xiangdong Su, Guanglai Gao and Feilong Bao

SunAA6 Transfer Learning, Chairs: Jie Lu and V. Susheela Devi, Room: Romchong

1:30PM Transfer Learning using Progressive Neural Networks and NMT for classification tasks

in NLP

Devanapalli Shankar and V. Susheela Devi

1:50PM Semi-Supervised Transfer Metric Learning with Relative Constraints

Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew and Prateek Bangwal

2:10PM Fuzzy Domain Adaptation Using Unlabeled Target Data

Hua Zuo, Guangquan Zhang and Jie Lu

2:30PM Privacy-preserving k-means clustering upon negative databases

47

Xiaoyi Hu, Liping Lu, Dongdong Zhao, Jianwen Xiang, Xing Liu, Haiying Zhou,

Shengwu Xiong and Jing Tian

Sunday, December 16, 4:00PM-6:00PM

SunAB1 Robotics and Control 4, Chairs: Bo Zhao and Yiming Wu, Room: Romdul

4:00PM Local Tracking Control for Unknown Interconnected Systems via Neuro-dynamic

Programming

Bo Zhao, Derong Liu, Mingming Ha, Ding Wang, Yancai Xu and Qinglai Wei

4:20PM Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization

Problems

Lingmei Huang, Youshen Xia and Songchuan Zhang

4:40PM Interactive Incremental Online Learning of Objects Onboard of a Cooperative

Autonomous Mobile Robot

Stephan Hasler, Jennifer Kreger and Ute Bauer-Wersing

5:00PM Resilient Consensus for Multi-agent Networks with Mobile Detectors

Haofeng Yan, Yiming Wu, Ming Xu, Ting Wu, Jian Xu and Tong Qiao

5:20PM Dynamics Based Fuzzy Adaptive Impedance Control for a Lower Limb Rehabilitation

Robot

Xu Liang, Weiqun Wang, Zengguang Hou, Zihao Xu, Shixin Ren, Jiaxing Wang and

Liang Peng

SunAB2 Detection 4, Chairs: Dan Popescu and Yangyang Hao, Room: Yihub

4:00PM Complex Conditional Generative Adversarial Nets for Multiple Objectives Detection in

Aerial Images

Dan Popescu, Loretta Ichim and Andrei Docea

4:20PM Facial landmark detection under Large Pose

Yangyang Hao, Hengliang Zhu, Zhiwen Shao, Xin Tan and Lizhuang Ma

4:40PM Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors

Petru Soviany and Radu Tudor Ionescu

5:00PM Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly

Detection in Crowded Scenes

Zeyu Mi, Lin Shang and Bing Xue

5:20PM Remote Sensing Image Segmentation by Combining Feature enhanced with Fully

Convolutional Network

Ruiguo Yu, Xuzhou Fu, Jiang Han, Chenhan Wang, Xuewei Li, Mankun Zhao, Xiang

Ying and Hongqian Shen

SunAB3 Image and Signal Processing 4, Chairs: Minho Lee and Ping Guo, Room: Champei

4:00PM MSCE: An Edge-preserving Robust Loss Function for Improving Super-resolution

Algorithms

48

Ram Krishna Pandey, Nabagata Saha, Samarjit Karmakar and A.G. Ramakrishnan

4:20PM Fast Image Recognition with Gabor Filter and Pseudoinverse Learning AutoEncoders

Xiaodan Deng, Sibo Feng, Ping Guo and Qian Yin

4:40PM TiedGAN: Multi-Domain Image Transformation Networks

Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Jonghong Kim and Minho Lee

5:00PM Image Denoising using a Deep Encoder-Decoder Network with Skip Connections

Rapha¨el Couturier, Gilles Perrot and Michel Salomon

SunAB5 Word, Text and Document Processing, Chairs: Heng-Yang Lu and Weiyu Jiang,

Room: Nakry

4:00PM Constructing Pseudo Documents with Semantic Similarity for Short Text Topic

Discovery

Heng-Yang Lu, Yun Li, Chi Tang, Chong-Jun Wang and Jun-Yuan Xie

4:20PM Text Classification Based on Word2vec and Convolutional Neural Network

Lin Li and Guocai Yang

4:40PM CNN-Based Chinese Character Recognition with Skeleton Feature

Wei Tang, Yijun Su, Xiang Li, Daren Zha, Weiyu Jiang, Neng Gao and Ji Xiang

5:00PM W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural

Networks

Haochuan Jiang, Guanyu Yang, Kaizhu Huang and Rui Zhang

5:20PM A NEW LSTM Network Model Combining TextCNN

Xiao Sun, Xiaohu Ma, Zhiwen Ni and Lina Bian

SunAB6 Clustering, Chairs: Mashaan Alshammari and Wenming Cao, Room: Romchong

4:00PM Approximate Spectral Clustering using Topology Preserving Methods and Local Scaling

Mashaan Alshammari and Masahiro Takatsuka

4:20PM Discovering Similarities in Malware Behaviors by Clustering of API Call Sequences

Fatima Al Shamsi, Wei Lee Woon and Zeyar Aung

4:40PM Towards a Compact and Effective Representation for Datasets with Inhomogeneous

Clusters

Haimei Zhao, Zhuo Chen, Qiuhui Tong and Bo Yuan

5:00PM Efficient Direct Structured Subspace Clustering

Wenming Cao, Rui Li, Sheng Qian, Si Wu and Hau-San Wong

5:20PM Self-Paced Multi-Task Multi-View Capped-norm Clustering

Yazhou Ren, Xin Yan, Zechuan Hu and Zenglin Xu

- Adjournment -