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The 2019 Fifteenth International
Conference on Intelligent
Computing
August 3-6, 2019
Nanchang, China
2
The 2019 Fifteenth International
Conference on Intelligent Computing
FINAL
PROGRAM
August 3-6, 2019
Nanchang, China
3
Outlines
Welcome Message 4
ICIC2019 Organization 6
Sponsors 14
The Location of Conference Venue in Nan Chang 16
General Information 17
Schedule Overview 19
Introduction of Keynote Speakers and Tutorials
20
Parallel Sessions for Oral Presentations 25
Detailed Parallel Sessions for Oral Presentations 26
4
WELCOME MESSAGE FROM GENERAL CHAIRS
The International Conference on Intelligent Computing (ICIC) was started to
provide an annual forum dedicated to the emerging and challenging topics in
artificial intelligence, machine learning, pattern recognition, bioinformatics,
and computational biology. It aims to bring together researchers and
practitioners from both academia and industry to share ideas, problems, and
solutions related to the multifaceted aspects of intelligent computing.
ICIC 2019, held in Nanchang, China, August 3-6, 2019, constituted the 15th
International Conference on Intelligent Computing. It built upon the success of
ICIC2018, ICIC2017, ICIC 2016, ICIC 2015, ICIC 2014, ICIC 2013, ICIC
2012, ICIC 2011, ICIC 2010, ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006,
and ICIC 2005 that were held in Wuhan/China, Liverpool/UK, Lanzhou,
Fuzhou, Taiyuan, Nanning, Huangshan, Zhengzhou, Changsha, China, Ulsan/
Korea, Shanghai, Qingdao, Kunming, and Hefei, China, respectively.
This year, the conference concentrated mainly on the theories and
methodologies as well as the emerging applications of intelligent computing.
Its aim was to unify the picture of contemporary intelligent computing
techniques as an integral concept that highlights the trends in advanced
computational intelligence and bridges theoretical research with applications.
Therefore, the theme for this conference was “Advanced Intelligent Computing
Technology and Applications”. Papers focused on this theme were solicited,
addressing theories, methodologies, and applications in science and technology.
ICIC 2019 received 609 submissions from 22 countries and regions. All papers
went through a rigorous peer-review procedure and each paper received at least
three review reports. Based on the review reports, the Program Committee
finally selected 217 high-quality papers for presentation at ICIC 2019, included
in three volumes of proceedings published by Springer: two volumes of Lecture
Notes in Computer Science (LNCS), i.e., LNCSs 11643 & 11644, and one
volume of Lecture Notes in Artificial Intelligence (LNAI), i.e., LNAI 11645.
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In addition, this year we also received Poster paper submission. This time
we selected 16 Poster papers from over 20 submissions, which will be exhibited
on the provided display board.
The organizers of ICIC 2019, including Tongji University, Nanchang
Institute of Technology, East China University of Technology and Guangxi
Teachers Education University made an enormous effort to ensure the success
of the conference. We hereby would like to thank the members of the Program
Committee and the referees for their collective effort in reviewing and soliciting
the papers. We would like to thank Alfred Hofmann, executive editor at
Springer Nature, for his frank and helpful advice and guidance throughout and
for his continuous support in publishing the proceedings. In particular, we
would like to thank all the authors for contributing their papers. Without the
high-quality submissions from the authors, the success of the conference would
not have been possible. Further, we are especially grateful to the International
Neural Network Society, and the National Science Foundation of China for
their sponsorship. Finally, we also sincerely thank our international partners,
Liverpool John Moores University, UK and Kazan Federal University, RUS for
their technical supports.
ICIC 2019 General Chairs
De-Shuang Huang, Sheng-Qian Wang
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ICIC 2019 Organization
General Co-Chairs:
De-Shuang Huang, China
Shengqian Wang, China
Program Committee Co-Chairs:
Kang-Hyun Jo, Korea
Phalguni Gupta, India
Organizing Committee Co-Chairs:
Chengzhi Deng, China
Zhikai Huang, China
Yusen Zhang, China
Organizing Committee Members:
Shumin Zhou, China
Wei Tian, China
Yan Li, China
Keming Liu, China
Shaoquan Zhang, China
Liling Zhang, China
Award Committee Chair:
Vitoantonio Bevilacqua, Italy
Tutorial Chair:
M. Michael Gromiha, India
Publication Chair:
Ling Wang, China
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Special Session Chair:
Abir Hussain, UK
Special Issue Chair:
Kyungsook Han, Korea
International Liaison Chair:
Prashan Premaratne, Australia
Workshop Co-Chairs:
Jair Cervantes Canales, Mexico
Michal Choras, Poland
Publicity Co-Chairs:
Valeriya Gribova, Russia
Laurent Heutte, France
Chun-Hou Zheng, China
Exhibition Contact Chair:
Di Wu, Tongji University, China
Program Committee Members:
Abir Hussain
Khalid Aamir
Kang-Hyun Jo
Angelo Ciaramella
Wenzheng Bao
Binhua Tang
Bin Qian
Bingqiang Liu
Bin Liu
Li Chai
Chin-Chih Chang
Wen-Sheng Chen
Michal Choras
Xiyuan Chen
Jieren Cheng
Chengzhi Liang
Dah-Jing Jwo
Shaoyi Du
Dunwei Gong
Xiaoheng Deng
Meng Joo Er
Eros Pasero
Evi Syukur
Fengfeng Zhou
Francesco Pappalardo
Gai-Ge Wang
LJ Gong
Valeriya Gribova
Michael Gromiha Maria
Naijie Gu
Guoliang Li
Fei Han
Tianyong Hao
Mohd Helmy Abd
Wahab
Hao Lin
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Hongmin Cai
Xinguo Lu
Hongjie Wu
Jianbo Fan
Jair Cervantes
Junfeng Xia
JuanCarlos Figueroa-
Jiangning Song
Joo M. C. Sousa
Ju Liu
Ka-Chun Wong
Kyungsook Han
Seeja K.R
Yoshinori Kuno
Laurent Heutte
Xinyi Le
Bo Li
Yunxia Liu
Zhendong Liu
Hu Lu
Fei Luo
Haiying Ma
Mingon Kang
Marzio Pennisi
Gaoxiang Ouyang
Seiichi Ozawa
Shaoliang Peng
Prashan Premaratne
Boyang Qu
Rui Wang
Wei-Chiang Hong
Xiangwei Zheng
Shen Yin
Sungshin Kim
Surya Prakash
TarVeli Mumcu
Vasily Aristarkhov
Vitoantonio Bevilacqua
Ling Wang
Xuesong Wang
Waqas Haider Khan
Bangyal
Bing Wang
Wenbin Liu
Weidong Chen
Wei Jiang
Wei Wei
Weining Qian
Takashi Kuremoto
Shitong Wang
Xiao-Hua Yu
Jing Xiao
Xin Yin
Xingwen Liu
Xiujuan Lei
Xiaoke Ma
Xiaoping Liu
Xiwei Liu
Yonggang Lu
Yongquan Zhou
Zu-Guo Yu
Yuan-Nong Ye
Jianyang Zeng
Tao Zeng
Junqi Zhang
Le Zhang
Wen Zhang
Qi Zhao
Chunhou Zheng
Zhan-Li Sun
Zhongming Zhao
Shanfeng Zhu
Quan Zou
Zhenran Jiang
Reviewers
9
Huijuan Zhu
Yizhong Zhou
Lixiang Hong
Yuan Wang
Mao Xiaodan
Ke Zeng
Xiongtao Zhang
Ning Lai
Shan Gao
Jia Liu
Ye Tang
Weiwei Cai
Yan Zhang
Yuanpeng Zhang
Han Zhu
Wei Jiang
Hong Peng
Wenyan Wang
Xiaodan Deng
Hongguan Liu
Hai-Tao Li
Jialing Li
Kai Qian
Huichao Zhong
Huiyan Jiang
Lei Wang
Yuanyuan Wang
Biao Zhang
Ta Zhou
Wei Liao
Bin Qin
Jiazhou Chen
Mengze Du
Sheng Ding
Dongliang Qin
Syed Sadaf Ali
Zheng Chenc
Shang Xiang
Xia Lin
Yang Wu
Xiaoming Liu
Jing Lv
Lin Weizhong
Jun Li
Li Peng
Hongfei Bao
Zhaoqiang Chen
Ru Yang
Jiayao Wu
Dadong Dai
Guangdi Liu
Jiajia Miao
Xiuhong Yang
Xiwen Cai
Fan Li
Aysel Ersoy Yilmaz
Agata Giełczyk
Akila Ranjith
Xiao Yang
Cheng Liang
Alessio Ferone
José Alfredo Costa
Ambuj Srivastava
Mohamed Abdel-
Basset
Angelo Ciaramella
Anthony Chefles
Antonino Staiano
Antonio Brunetti
Antonio Maratea
Antony Lam
Alfredo Pulvirenti
Areesha Anjum
Athar Ali Moinuddin
Mohd Ayyub Khan
Alfonso Zarco
Azis Ciayadi
Brendan Halloran
Bin Qian
Wenbin Song
Benjamin J. Lang
Bo Liu
Bin Liu
Bin Xin
Guanya Cai
Casey P. Shannon
Chao Dai
Chaowang Lan
Chaoyang Zhang
Chuanchao Zhang
Jair Cervantes
Bo Chen
Yueshan Cheng
Chen He
Zhen Chen
Chen Zhang
Li Cao
Claudio Loconsole
Cláudio R. M. Silva
Chunmei Liu
Yan Jiang
Claus Scholz
Yi Chen
Dhiya AL-Jumeily
Ling-Yun Dai
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Dongbo Bu
Deming Lei
Deepak Ranjan Nayak
Dong Han
Xiaojun Ding
Domenico Buongiorno
Haizhou Wu
Pingjian Ding
Dongqing Wei
Yonghao Du
Yi Yao
Ekram Khan
Miao Jiajia
Ziqing Liu
Sergio Santos
Tomasz Andrysiak
Fengyi Song
Xiaomeng Fang
Farzana Bibi
Fatih Adıgüzel
Fang-Xiang Wu
Dongyi Fan
Chunmei Feng
Fengfeng Zhou
Pengmian Feng
Feng Wang
Feng Ye
Farid Garcia-Lamont
Frank Shi
Chien-Yuan Lai
Francesco Fontanella
Lei Shi
Francesca Nardone
Francesco Camastra
Francesco Pappalardo
Dongjie Fu
Fuhai Li
Hisato Fukuda
Fuyi Li
Gai-Ge Wang
Bo Gao
Fei Gao
Hongyun Gao
Jianzhao Gao
Jianzhao Gao
Gaoyuan Liang
Geethan Mendiz
Geethan Mendiz
Guanghui Li
Giacomo Donato
Cascarano
Giorgio Valle
Giovanni Dimauro
Giulia Russo
Linting Guan
Ping Gong
Yanhui Gu
Gunjan Singh
Guohua Wu
Guohui Zhang
Guo-Sheng Hao
Surendra M. Gupta
Sandesh Gupta
Gang Wang
Hafizul Fahri Hanafi
Haiming Tang
Fei Han
Hao Ge
Kai Zhao
Hangbin Wu
Hui Ding
Kan He
Bifang He
Xin He
Huajuan Huang
Jian Huang
Hao Lin
Ling Han
Qiu Xiao
Yefeng Li
Hongjie Wu
Hongjun Bai
Hongtao Lei
Haitao Zhang
Huakang Li
Jixia Huang
Pu Huang
Sheng-Jun Huang
Hailin Hu
Xuan Huo
Wan Hussain Wan
Ishak
Haiying Wang
Il-Hwan Kim
Kamlesh Tiwari
M. IkramUllah Lali
Ilaria Bortone
H.M Imran
Ingemar Bengtsson
Izharuddin Izharuddin
Jackson Gomes
Wu Zhang
Jiansheng Wu
Yu Hu
Jaya Sudha
11
Jianbo Fan
Jiancheng Zhong
Enda Jiang
Jianfeng Pei
Jiao Zhang
Jie An
Jieyi Zhao
Jie Zhang
Jin Lu
Jing Li
Jingyu Hou
Joe Song
Jose Sergio Ruiz
Jiang Shu
Juntao Liu
Jiawen Lu
Jinzhi Lei
Kanoksak
Wattanachote
Juanjuan Kang
Kunikazu Kobayashi
Takashi Komuro
Xiangzhen Kong
Kulandaisamy A
Kunkun Peng
Vivek Kanhangad
Kang Xu
Kai Zheng
Kun Zhan
Wei Lan
Laura Yadira
Domínguez Jalili
Xiangtao Chen
Leandro Pasa
Erchao Li
Guozheng Li
Liangfang Zhao
Jing Liang
Bo Li
Feng Li
Jianqiang Li
Lijun Quan
Junqing Li
Junqing Li
Min Li
Liming Xie
Ping Li
Qingyang Li
Lisbeth Rodríguez
Shaohua Li
Shiyong Liu
Yang Li
Yixin Li
Zhe Li
Zepeng Li
Lulu Zuo
Fei Luo
Panpan Lu
Liangxu Liu
Weizhong Lu
Xiong Li
Junming Zhang
Shingo Mabu
Yasushi Mae
Malik Jahan Khan
Mansi Desai
Guoyong Mao
Marcial Guerra de
Medeiros
Ma Wubin
Xiaomin Ma
Medha Pandey
Meng Ding
Muhammad Fahad
Haiying Ma
Mingzhang Yang
Wenwen Min
Mi-Xiao Hou
Mengjun Ming
Makoto Motoki
Naixia Mu
Marzio Pennisi
Yong Wang
Muhammad Asghar
Nadeem
Nadir Subasi
Nagarajan Raju
Davide Nardone
Nathan R. Cannon
Nicole Yunger Halpern
Ning Bao
Akio Nakamura
Zhichao Shi
Ruxin Zhao
Mohd Norzali Hj
Mohd
Nor Surayahani Suriani
Wataru Ohyama
Kazunori Onoguchi
Aijia Ouyang
Paul Ross McWhirter
Jie Pan
Binbin Pan
Pengfei Cui
Pu-Feng Du
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Kunkun Peng
Syed Sadaf Ali
Iyyakutti Iyappan
Ganapathi
Piyush Joshi
Prashan Premaratne
Peng Gang Sun
Puneet Gupta
Qinghua Jiang
Wangren Qiu
Qiuwei Li
Shi Qianqian
Zhi-Xian Liu
Raghad AL-Shabandar
Rafał Kozik
Raffaele Montella
Woong-Hee Shin
Renjie Tan
Rodrigo A. Gutiérrez
Rozaida Ghazali
Prabakaran
Jue Ruan
Rui Wang
Ruoyao Ding
Ryuzo Okada
Kalpana Shankhwar
Liang Zhao
Sajjad Ahmed
Sakthivel Ramasamy
Shao-Lun Lee
Wei-Chiang Hong
Hongyan Sang
Jinhui Liu
Stephen Brierley
Haozhen Situ
Sonja Sonja
Jin-Xing Liu
Haoxiang Zhang
Sebastian Laskawiec
Shailendra Kumar
Junliang Shang
Wei-Feng Guo
Yu-Bo Sheng
Hongbo Shi
Nobutaka Shimada
Syeda Shira Moin
Xingjia Lu
Shoaib Malik
Feng Shu
Siqi Qiu
Boyu Zhou
Stefan Weigert
Sameena Naaz
Sobia Pervaiz
Somnath Dey
Sotanto Sotanto
Chao Wu
Yang Lei
Surya Prakash
Wei Su
Qi Li
Hotaka Takizawa
FuZhou Tang
Xiwei Tang
Li-Na Chen
Yao Tuozhong
Qing Tian
Tianyi Zhou
Junbin Fang
Wei Xie
Shikui Tu
Umarani Jayaraman
Vahid Karimipour
Vasily Aristarkhov
Vitoantonio Bevilacqua
Valeriya Gribova
Guangchen Wang
Hong Wang
Haiyan Wang
Jingjing Wang
Ran Wang
Waqas Haider Bangyal
Pi-Jing Wei
Wei Lan
Fangping Wan
Jue Wang
Minghua Wan
Qiaoyan Wen
Takashi Kuremoto
Chuge Wu
Jibing Wu
Jinglong Wu
Wei Wu
Xiuli Wu
Yahui Wu
Wenyin Gong
Wu Zhang
Zhanjun Wang
Xiaobing Tang
Xiangfu Zou
Xuefeng Cui
Lin Xia
Taihong Xiao
Xing Chen
Lining Xing
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Jian Xiong
Yi Xiong
Xiaoke Ma
Guoliang Xu
Bingxiang Xu
Jianhua Xu
Xin Xu
Xuan Xiao
Takayoshi Yamashita
Atsushi Yamashita
Yang Yang
Zhengyu Yang
Ronggen Yang
Xiao Yang
Zhengyu Yang
Yaolai Wang
Yaping Yang
Yue Chen
Yongchun Zuo
Bei Ye
Yifei Qi
Yifei Sun
Yinglei Song
Ying Ling
Ying Shen
Yingying Qu
Lvjiang Yin
Yiping Liu
Wenjie Yi
Jianwei Yang
Yu-Jun Zheng
Yonggang Lu
Yan Li
Yuannong Ye
Yong Chen
Yongquan zhou
Yong Zhang
Yuan Lin
Yuansheng Liu
Bin Yu
Fang Yu
Kumar Yugandhar
Liang Yu
Yumin Nie
Xu Yu
Yuyan Han
Yikuan Yu
Yong Wang
Ying Wu
Ying Xu
Zhiyong Wang
Shaofei Zang
Chengxin Zhang
Zehui Cao
Tao Zeng
Shuaifang Zhang
Yan Zhang
Liye Zhang
Zhang Qinhu
Sai Zhang
Sen Zhang
Shan Zhang
Shao Ling Zhang
Wen Zhang
Wei Zhao
Bao Zhao
Zheng Tian
Sijia Zheng
Zhenyu Xuan
Fangqing Zhao
Zhao Fangqing
Zhipeng Cai
Xing Zhou
Xiong-Hui Zhou
Lida Zhu
Ping Zhu
Qi Zhu
Zhong-Yuan Zhang
Ziding Zhang
Junfei Zhao
Zhe Li
Juan Zou
Quan Zou
Qian Zhu
Zunyan Xiong
Zeya Wang
Yatong Zhou
Shuyi Zhang
Zhongyi Zhou
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Sponsors
Co-organized by
Tongji University, China
Nanchang Institute of Technology
East China University of Technology
Guangxi Teachers Education University, China
Technically Co-sponsored by
Jiangxi Province Key Laboratory of Precision
Drive & Control
Jiangxi Province Key Laboratory of Water Info
rmation Cooperative Sensing and Intelligent Pr
ocessing
The National Natural Science Foundation of
China
The International Neural Network Society
15
International Partners
Liverpool John Moores University, Liverpool,
UK
Kazan Federal University, RUS
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The Location of Conference Venue in Nanchang
Conference Venue
ICIC2019 Conference Venue is Galactic Peace International Hotel (http://en.galactic-nanchang.com),
which has a unique and favorable natural environment. It is located in Nanchang's commercial area, the
imposing Galactic Peace International Hotel (Jialaite Heping Guoji Jiudian) is a 5-star business hotel less
than a five-minute drive from the railway station and a 30-minute drive from Changbei International Airport.
With an airport pickup service, ticket reservation, free Wi-Fi throughout the hotel, disabled access, free
parking and currency exchange, guests will enjoy a carefree stay. The on-site restaurants serve both Chinese
and Western dishes, while the coffee shop and tea house offer a selection of drinks and snacks. Business
travelers will find a large banquet hall, variously-sized conference rooms, meeting rooms and a business
center available for their convenience. Guests who want to indulge themselves over their vacation can head
to the spa for a variety of health and beauty services. Those who prefer something more active can hit the
gym, play a game of tennis or take a dip in the swimming pool, while for the socially minded there is a bar
and private karaoke rooms.
Detailed Location
For ICIC 2019, the venue for the registration in the late afternoon (4:00 pm) on the first day (Aug. 3, 2019)
of the conference is Galactic Peace International Hotel.
Road Map:
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General Information
I. Conference Working Language
English is the official language of the conference.
II. Conference Registration
The ICIC2019 registration desk, located in the lobby of Galactic Peace International Hotel,
Nanchang, the first floor, will be open during the following hour:
⚫ August 3, 2019 (Saturday) 4:00pm-8:00pm
⚫ August 4, 2019 (Sunday) 8:30am-6:00pm
III. Conference Events
The ICIC 2019 events are scheduled as follows:
⚫ Reception: 18:00-20:00 pm, August 4, 2019 (Sunday): 2nd floor, Western Restaurant (二楼西
餐厅), Galactic Peace International Hotel, Nanchang.
⚫ Banquet: 19:00-21:00 pm, August 5, 2019 (Monday): 4th floor, Multi-Function Grand Hall
(四楼多功能厅), Galactic Peace International Hotel, Nanchang.
⚫ All the meals but Reception and Banquet: 2nd floor, Western Restaurant (二楼西餐厅).
IV. Conference Rooms
⚫ Room A, Hall-VIP, 3rd floor(三楼贵宾厅), Galactic Peace International Hotel, Nanchang
⚫ Room B, Hall-3, 3rd floor(三楼三号厅), Galactic Peace International Hotel, Nanchang
⚫ Room C, Hall-5, 3rd floor(三楼五号厅), Galactic Peace International Hotel, Nanchang
⚫ Room D, Hall-6, 3rd floor(三楼六号厅), Galactic Peace International Hotel, Nanchang
V. Information for Oral Presenters
⚫ Please prepare a 10-minute PowerPoint (PPT) slide. Your actual presentation time may depend
on the number of presentations in your session.
⚫ Please check this Final Program for your presentation time and room. Please go to the room five
minutes before the session starts and report to the Session Chair.
⚫ Please follow the instructions of the Session Chair(s) not to exceed your time allotted to you by
them.
⚫ If the Session Chair(s) is/are absent from the session, the last speaker is requested to serve as the
Session Chair.
VI. Information for Poster Presenters
⚫ Poster exhibition is limited to 1-2 pages per poster paper, the format and style are flexible. The
size of display board is 80 cm×180 cm.
Ⅶ. Information for Session Chairs
The Organizing Committee would like to ask for your kind help as Session Chair (s). If you cannot
fulfill your duties as session chair, please try to make sure that someone else will take your place as
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Session Chair(s).
As a Session Chair, you are kindly requested to help at the following:
⚫ Arrive at the room of the session at least 5 minutes before the session starts and identify each of
the speakers for the session.
⚫ Calculate and announce the time allocated for each paper in your session for only the authors
present before the session starts.
⚫ The time allocated to a paper may be different in different sessions, due to uneven distribution of
papers in different areas and a small number of absentees due to visa and other reasons. Request
the presenters to leave 2 minutes for question and answers, plus 2 minutes for transition to the
next paper. For example, if the calculated time for each presentation is 15 minutes, then request
each presenter to talk for no more than 11 minutes, with 2 minutes for question and answers, plus
2 minutes for transition to the next paper.
⚫ Each oral presentation room is equipped with an LCD projector. If something is not working
properly, please contact conference helper in the room.
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Schedule Overview
Date Morning Afternoon Evening
August 3
Saturday
Registration (4:00 pm-8:00 pm)
August 4
Sunday
Registration
08:30 am – 18:00 pm
Opening Ceremony Session: Multi-
Function Grand Hall
08:30-09:00 am
Plenary Speeches
Speaker I: Sheng Chen
Chair: Prashan Premaratne
09:00-9:50 am
Coffee Break, 9:50-10:10 am
Speaker Ⅱ: Jennie Si
Chair: Kangyun Jo
10:10-11:00 am
Speaker III: Yang Zhang
Chair: De-Shuang Huang
11:00-11:50 am
Lunch
Invited Speeches
Speaker I: Abir Hussain
Chair: Zhi-Kai Huang
14:00-14:40 pm
Speaker Ⅱ: FangXiang Wu
Chair: Chun-Hou Zheng
14:40-15:20 pm
Coffee Break, 15:20-15:40 pm
Poster Presentation
15:40-17:50 pm
Multi-Function Grand Hall
Reception:
18:00-19:30
pm
August 5
Monday
Oral Presentation
08:00-10:00am
Room A, Room B, Room C, Room D
Coffee Break, 10:00-10:10am
Oral Presentation
10:10-12:10am
Room A, Room B, Room C, Room D
Lunch
Oral Presentation
14:00-15:00pm
Room A, Room B, Room C, Room D
Coffee Break, 15:00-5:10pm
Oral Presentation
15:10-18:10pm
Room A, Room B, Room C, Room D
Technical Committee Meeting
16:30-18:30pm
Room E
Banquet
19:00-
21:00pm
August 6
Tuesday Free Activity
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Introduction of Keynote Speakers
◼ Keynote Speaker 1: Sheng Chen
Growing and Pruning Selective Ensemble Regression over Drifting
Data Streams
PhD & Professor, Fellow of UK Royal Academy of Engineering, IEEE Fellow
School of Electronics and Computer Science
University of Southampton
Southampton SO5 1BJ, UK
Email: [email protected]
Personal website: https://www.southampton.ac.uk/~sqc/
Abstract: From my made-up “famous” equation , where stands for our
electronic and digital infrastructure and equals to Computing and
Communication, I'll start a light-hearted history of how AI is saved at least
partly by ̀ Intelligent Computing' - the theme of this conference and of course
my talk. More specifically, my talk is about how to adaptively construct
online selective ensemble regression model for fast-arriving highly nonlinear
and nonstationary data streams. Any ensemble learner faces a so-called
stability-plasticity dilemma. Stability implies that a learner retains acquired
knowledge for maintaining diverse pool of past knowledge, but plasticity
requires a learner to forget part or all previous knowledge so that it can
quickly capture new knowledge from newly upcoming data. We propose a growing and pruning
selective ensemble regression for adaptive modeling of nonlinear and nonstationary systems. Central
to this effective and accurate selective ensemble learner is its growing strategy and pruning strategy.
During online operation, the proposed growing strategy automatically identifies newly emerging
process state and fits a local linear model to capture this newly occurring knowledge. Therefore, our
learning strategy is capable of maintaining the maximum diversity of the base model set. Furthermore,
our proposed pruning strategy is capable of reliably removing “unwanted” local models online and,
therefore, significantly reduces computational complexity of constructing online selective ensemble
regression model, without sacrificing the diversity and accuracy of selective ensemble regression.
Bio-Sketch: Sheng Chen received the BEng degree from East China Petroleum Institute (now China
University of Petroleum), China, in January 1982, and the PhD degree from City University, London,
in September 1986, both in control engineering. In 2005, he was awarded the higher doctoral degree,
Doctor of Science (DSC), by the University of Southampton. From October 1986 to August 1999, he
held various research and academic posts with University of Sheffield, University of Edinburgh and
University of Portsmouth, all in UK. Since September, 1999, he has been with School of Electronics
and Computer Science, University of Southampton, where he holds the post of Professor in Intelligent
Systems and Signal Processing. Professor Chen's research interests are in computation intelligence,
wireless communications and signal processing. He has 12,800 plus Web of Science citations with h-
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index 50, and 27,000 plus Google Scholar citations with h-index 71. Dr Chen is a Fellow of the United
Kingdom Royal Academy of Engineering, a Fellow of IEEE and a Fellow of IET. He is one of the
original ISI most highly cited researchers in engineering (March 2004).
◼ Keynote Speaker 2: Jennie Si
Reinforcement Learning Based Control of Robotic Prosthesis in Human-
Machine Co-adaptation
Professor, School of Electrical, Computer and Energy Engineering
Arizona State University
Tempe, AZ 85287
Email: [email protected]
Personal website: https://isearch.asu.edu/profile/48345.
Abstract: I will motivate this talk by first introducing a new challenge to
reinforcement learning (RL) based control design. The problem focuses on
learning control of powered lower limb prosthesis in order for the human-
machine system (HMS) to help an amputee regain the lost limb function.
The nature of the problem calls for a RL controller not only to address the
differences in human physiology, but also the differences in ways that
individuals walk in a foreign object such as a computer controlled
prosthesis. As such, the HMS control problem poses great opportunities for
the field of reinforcement learning or even broader engineering disciplines.
In this talk, I will speak about our exciting new results on several RL designs that have been tested on
human subjects for level ground walking. With our initial feasibility studies to demonstrate our RL
controls can be data and time efficient during learning, I will also discuss directions we will take for
RL controller to help achieve the ultimate goal of human-machine symbiosis.
Bio-sketch: Dr. Jennie Si received the B.S. and M.S. degrees from Tsinghua University, Beijing, China,
and the Ph.D. degree from the University of Notre Dame, Notre Dame, IN, USA. She has been a
faculty member with the Department of Electrical Engineering, Arizona State University, Tempe, AZ,
USA, since 1991. Her research focuses reinforcement learning based adaptive optimal control. She is
also interested in fundamental neural learning mechanisms in the frontal cortex. Dr. Si was a recipient
of the NSF/White House Presidential Faculty Fellow Award in 1995 and the Motorola Engineering
Excellence Award in 1995. She is a Distinguished Lecturer of the IEEE Computational Intelligence
Society and an IEEE Fellow. She has served on several professional organizations’ exec
22
◼ Keynote Speaker 3: Yang Zhang
Protein Structure Prediction PhD & Professor
Department of Computational Medicine and Bioinformatics
Department of Biological Chemistry
University of Michigan, Ann Arbor, MI 48109
Email: [email protected]
Personal website: https://zhanglab.ccmb.med.umich.edu/
Abstract: Protein structure prediction aims to determine the spatial
location of every atom in protein molecules from the amino acid sequence
by computational simulations. In this talk, we first review recent progress
in computer-based protein structure prediction and show that the problem
can be solved in principle by template-based modeling in case that
threading could recognize the best structural templates from the Protein
Data Bank. Next, we discuss the results of protein structure prediction in
the most recent community-wide blind CASP experiments, and show that
new approaches combining ab initio folding and deep neural-network
contact prediction can break through the barrier of physics-based protein
folding, which resulted in successful folding of proteins with sequence longer than 300 amino acids.
Finally, we summarize the major challenges of the field in ab initio folding, structure refinement, and
the modeling of membrane proteins.
Bio-Sketch: Dr. Yang Zhang is a professor in Department of Computational Medicine and
Bioinformatics and Department of Biological Chemistry at the University of Michigan. The research
of the Zhang Lab focuses on protein folding and protein structure prediction, and protein design and
engineering. The I-TASSER developed in his lab was ranked as the No 1 most accurate method for
automated protein structure prediction in the last seven worldwide CASP competitions (2006-2018).
He is the recipient of the Alexander von Humboldt Fellow, the US National Science Foundation Career
Award, the Alfred P Sloan Award, and the Dean’s Basic Science Research Award, and has been selected
as the Thomson Reuters Highly Cited Researcher in Biology and Biochemistry in 2015-2018.
23
Introduction of Invited Speakers
Speaker 1: Abir Hussain
Machine Learning Approaches for the Foresting Financial Time Series
Ph.D & Professor
Faculty of Engineering and Technology, Liverpool John Moores University, UK
Email: [email protected]
Personal website: www.ljmu.ac.uk/about-us/staff-profiles/faculty-of-engineering-and-
technology/department-of-computer-science/abir-hussain
Abstract: The problem of predicting financial time-series data is an issue
of a much interest to both economic and academic communities.
Decisions regarding investments and trading by large companies and the
economic policy of governments rely on computer modelling forecasts.
The foreign currency exchange rates are very important in this respect,
with FX market worth an estimated daily trading volume of 1 trillion US
Dollars.
Most financial data is non-stationary by default, this means that the
statistical properties of the data change over time. These changes are
caused as a result of various business and economic cycles (e.g. demand
for air travel is higher in the summer months, this can have a knock-on
effect of exchange rates, fuel prices, etc). While this information should be taken into account in the
current closing price of a stock, share or exchange rate it still means that long term study of the
behaviour of a given variable is not always the best indicator of its future behaviour. Traditional
methods for time series forecasting are statistics-based, including moving average, autoregressive,
autoregressive moving average models, linear regression and exponential smoothing. These
approaches do not produce fully satisfactory results, due to the nonlinear behaviour of most of the
natural occurring time series. Other more advanced techniques such as neural networks, fuzzy logic
and fractals have been successfully used in time series prediction. This talk addresses the problem of
financial time series prediction using advanced machine learning approaches.
Bio-Sketch: Abir Hussain is a professor of Machine Learning and a member of the Applied
Computing Research Group at the Faculty of Engineering and Technology at Liverpool John Moores
University, UK.
She completed her PhD study at The University of Manchester (UMIST), UK in 2000 with a thesis
title Polynomial Neural Networks for Image and Signal Processing. She has published numerous
referred research papers in conferences and Journal in the research areas of Neural Networks, Signal
Prediction, Telecommunication Fraud Detection and Image Compression.
She has worked with higher order and recurrent neural networks and their applications to financial,
physical, e-health and image compression techniques. She has developed with her research students a
number of recurrent neural network architectures. Her research has been published in a number of
high esteemed and high impact journals such as Monthly Notices of the Royal Astronomical Society,
Expert Systems with Applications, PloS ONE, IEEE Access, Neurocomputing, and IEEE Transactions
on Sustainable Computing.
She is one of the initiators and chairs of the Development in e-Systems Engineering (DeSE) series,
most notably illustrated by the IEEE technically sponsored DeSE International Conference Series
which is CORE ranked.
24
Speaker 2: FangXiang Wu
Predicting Disease Genes based on Artificial Intelligence
Ph.D & Professor ,IEEE Senior member
Department of Computer Science at the University of Saskatchewan, Canada
Email: [email protected]
Personal website: www.cs.usask.ca/people/faculty%20profiles/fangxiang-wu.php.
Abstract: From the statistics of Online Mendelian Inheritance in Man
(OMIM), there are more a numbers of diseases than that of disease genes that
are experimentally verified. The computational methods could play an
important role in identifying more disease genes towards the understanding
of complex diseases. In this presentation, I will talk about some of our recent
results for predicting disease genes based on artificial intelligence models.
First, with the concepts of network energy (similar to that for Boltzmann
machine), I will present several machine learning models that we developed
for predicting disease genes from biomolecular networks. I will also
introduce two deep learning models: deep belief network and generalized
neighborhood based convolutional neural networks, which we developed for predicting disease/driver
genes from multiple sources of data.
Bio-sketch: Dr. FangXiang Wu received the B. Sc. degree and the M. Sc. degree in applied
mathematics, from Dalian University of Technology, Dalian, China, in 1990 and 1993, respectively,
the first Ph.D. in control theory and its applications from Northwestern Polytechnical University, Xi’an,
China, in 1998, and the second Ph.D. in bioinformatics and systems biology from University of
Saskatchewan, Saskatoon, Canada, in 2004. He worked as a post-doctorial fellow with Laval
University Medical Research Center, Quebec City, Quebec, during 2004-2005.
Dr. Wu is a full professor of College of Engineering, and of Department of Computer Science at the
University of Saskatchewan, Canada. His current research interests include Machine learning/deep
learning computational biology and bioinformatics, Deep learning for medical image analytic and
clinical data analytics, and Complex network analytics, stability and controllability. He has published
about 360 technical papers in refereed journals and conference proceedings.
Dr. Wu is serving as the editorial board member of five international journals (including IEEE/ACM
Transactions on Computational Biology and Bioinformatics, Scientific Reports, Neurocomputing,
etc.), the guest editor of more than 20 international journals, and as the program committee chair or
member of many international conferences. He has also reviewed papers for many international
journals. He is a senior member of IEEE and a registered Professional Engineer in Canada.
25
Parallel Sessions for Oral Presentations
Room
Time Room A Room B Room C Room D
Morning
Aug. 5
8:00-10:00
R1:
Optimization and
Algorithm
Morning
Chairs:
Yongquan Zhou,
Guo Zhou
R2: Special
Session on
Advances in
Swarm
Intelligence
Algorithms and
Applications
Chairs: Ben Niu,
Rong Qu
R3: Intelligent
Computing in
Computing Biology
Chairs: Chun-Hou
Zheng, Zhu-Hong
You
R4: Image Processing
Chairs: Jian-Xun Mi,
Xiao-Feng Wang
Morning
Aug. 5
10:10-12:10
R5: Optimization
and Learning
Chairs: Marek
Pawlicki, Md.
Azizur Rahman
R6: Special
Session on
Machine Learning
and Deep
Learning
approaches in
applied
computing to
support Industry
for real-world
problems
Chairs:
Mohammed
Khalaf, Abir
Jaafar Hussain
R7: Bioinformatics
Chairs: Jun Meng,
Bolin Chen,
R8: Image Processing
and Classifications
Chairs: Prashan
Premaratne,
Youlkyeong Lee
Afternoon
Aug. 5
13:20-15:40
R9: Intelligent
Computing and
Applications
Chairs: Vasudev
Sharma, Zhongqiu
Zhao
SS1: Intelligent
Automation and
Learning
Chairs: Duy-
Long Nguyen, B.
John Oommen
R10: Computing
Genomics and
Proteomics
Chairs: Hai-Cheng
Yi, Zhu-Hong You
SS4: Intelligent
Computing in
Robotics and
Computer Vision
Chairs: Kaushik Deb,
Kang-Hyun Jo
Afternoon
Aug. 5
15:50-18:00
R11: Pattern
Recognition and
Neural Networks
Chairs: Abir
Hussain,
Yonggang Lu
R12: Intelligent
Data Analysis and
Prediction
Chairs: Hong-
Hee Lee, Hee-Jun
Kang
R13: Biomedical
Data Modeling and
Mining
Chairs: Y-h.
Taguchi, Fang-
Xiang Wu
R14: Classification
and Feature
Extraction
Chairs: Daniel Ayala
Nio, Cristian
Camardella
26
Detailed Parallel Sessions for Oral Presentations
Morning, August 5, Monday, Room A
R1: Optimization and Algorithm Chairs: Yongquan Zhou, Guo Zhou
Paper 416
08:00-08:12
A Quaternion’s encoding sine cosine algorithm
Li Lv, Dengxu He, Miao Lu, Yundi Rao
Paper 425
08:12-08:24
An Enhanced Whale Optimization Algorithm with Simplex Method
Yanbiao Niu, Zhonghua Tang, Yongquan Zhou, Zhongmin Wang
Paper 430
08:24-08:36
IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram
Publishing Based on Density Clustering
Lina Ge, Yugu Hu, Hong Wang, Zhonghua He, Huazhi Meng, Xiong Tang, Liyan Wu
Paper 423
08:36-08:48
A Complex-valued Encoding Moth-flame Optimization Algorithm for Global Optimization
Pengchuan Wang, Yongquan Zhou, Qifang Luo, Chencheng Fan, Zhehong Xiang
Paper 426
08:48-09:00
BFPA: Butterfly Strategy Flower Pollination Algorithm
Mengyi Lei, Qifang Luo, Yongquan Zhou, Chengmei Tang, Yuanyuan Gao
Paper 310
09:00-09:12
Multi-verse Optimization Algorithm for Solving Two-dimensional TSP
Guo Zhou, Wei Pan, Yongquan Zhou
Paper 574
09:12-09:24
Water Wave Optimization for the Multidimensional Knapsack Problem
Hong-Fang Yan, Ci-Yun Cai, De-Huai Liu, Min-Xia Zhang
Paper 679
09:24-09:36
Water Wave Optimization for Flow-Shop Scheduling
Jia-Yu Wu, Xue Wu, Xue-Qin Lu, Yi-Chen Du, and Min-Xia Zhang
Paper 272
09:36-09:48
Hybrid Cross-entropy Algorithm for Mixed model U-shaped assembly line balancing
problem
Yi-Fan Zheng, Rong Hu, Bin Qian, Ling Wang, Feng-Hong Xiang
Paper 567
09:48-10:00
Single-machine green scheduling problem of multi-speed machine
Ai Yang, Bin Qian, Rong Hu, Changheng Zhang, Liping Wu
Morning, August 5, Monday, Room B
R2: Special Session on Advances in Swarm Intelligence Algorithms and Applications
Chairs: Ben Niu, Rong Qu
Paper 365
08:00-08:12
A Novel Mechanism of Position Update in Multi-objective Particle Swarm Optimization
Yuan Lian, Liu Yanmin, Aijia Ouyang, Li Wei, Leng Rui
Paper 368
08:12-08:24
A New Multi-objective Particle Swarm Optimization Based on Linear Decreasing Velocity
Update Mechanism
Yuan Lian, Liu Yanmin, Aijia Ouyang, Ye Hongyan, Leng Rui
Paper 700
08:24-08:36
Non-directional learning strategy particle swarm optimization algorithm
Zhi Ye, Cong Li, Yingshi Liang, Zhexin Chen, LijingTan
Paper 706
08:36-08:48
An improved PSO algorithm with an area-oriented learning strategy
Tengjun Liu, Jinzhuo Chen, Yuelin Rong, Yuting Zheng, Lijing Tan
27
Paper 832
08:48-09:00
Feature Selection using a Reinforcement-Behaved Brain Storm Optimization
Ben Niu, Xuesen Yang, Hong Wang
Paper 715
09:00-09:12
Data Clustering Using the Cooperative Search based Artificial Bee Colony Algorithm
Chen Guo, Heng Tang, Chang Boon Patrick Lee and Ben Niu
Paper 703
09:12-09:24
An Integrated Classification Algorithm Using Forecasting Probability Strategies for Mobile
App
Jingyuan Cao , Hong Wang, Mo Pang
Paper 702
09:24-09:36
An Improved Social Learning Particle Swarm Optimization Algorithm with Selected
Learning
Ming Chen, Haoruo Hu, Xi Song, CHIA EMMANUEL TUNGOM, and LijingTan
Morning, August 5, Monday, Room C
R3: Intelligent Computing in Computing Biology
Chairs: Chun-Hou Zheng, Zhu-Hong You
Paper 302
08:00-08:12
A link and Weight-Based Ensemble Clustering for Patient Stratification
Yuan-Yuan Zhang, Chao Yang, Yu-Tian Wang, Chun-Hou Zheng,
Paper 549
08:12-08:24
A novel method to predict protein regions driving cancer through integration of multi-
omics data
Xinguo Lu, Xinyu Wang, Ping Liu, Zhenghao Zhu and Li Ding
Paper 602
08:24-08:36
Prediction of human lncRNAs based on integrated information entropy features
Junyi Li, Huinian Li, Li Zhang, Qingzhe Xu, Yuan Ping, Xiaozhu Jing, Wei Jiang, Bo Liu,
Yadong Wang
Paper 562
08:36-08:48
In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble
Learning Model and Sequence Information
Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen, Zhen-Hao Guo
Paper 413
08:48-09:00
LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease
Association Prediction
Zhengwei Li, Ru Nie, Yan Zhao, Yang Wang
Paper 308
09:00-09:12
HGMDA:HyperGraph for Predicting MiRNA-disease Association
QingWen Wu,JianChen Ni,and ChunHou Zheng
Paper 300
09:12-09:24
Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease
Associations
Xin Ding, Jun-Feng Xia, Yu-Tian Wang, Chun-Hou Zheng.
Paper 771
09:24-09:36
A prediction method of DNA-binding proteins based on evolutionary information
Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang
Paper 714
09:36-09:48
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately
Predict Self-Interacting Proteins
Yan-Bin Wang, Zhu-Hong You, Hai-cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng
Paper 529
09:36-09:48
Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease
Associations
Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Zhan-Heng Chen, Han-Jing Jiang
Paper 170
09:36-09:48
The detection of gene modules with overlapping characteristic via integrating multi-omics
data in six cancers
28
Xinguo Lu, Qiumai Miao, Ping Liu, Li Ding, Zhenghao Zhu, Min Liu, and Shulin Wang
Morning, August 5, Monday, Room D
R4: Image Processing
Chairs: Jian-Xun Mi, Xiao-Feng Wang
Paper 135
08:00-08:12
Dislocation Theory Based Level Set Image Segmentation
Fan Zhang, Xiaoke Zhu, Xiaopan Chen, Dongfang Shang, Haishun Du, Nan Zhang, Xinhong
Zhang
Paper 421
08:12-08:24
Image Denoising via Multiple Images Nonlocally Means and Residual Tensor
Decomposition
Pengfei Guo, Lijuan Shang
Paper 804
08:24-08:36
Deep learning based fluid segmentation in retinal optical coherence tomography images
Xiaoming Liu, Dong Liu, Bo Li, Shaocheng Wang
Paper 686
08:36-08:48
Image Segmentation Based on Local Chan-Vese Model Combined With Fractional Order
Derivative
Le Zou, Liang-Tu Song, Xiao-Feng Wang, Yan-Ping Chen, Chao Tang and Chen Zhang
Paper 640
08:48-09:00
Face Image Super-Resolution via Sparse Representation and Local Texture Constraints
Bao-Cheng Wang and Bo Li
Paper 573
09:00-09:12
Mirror PCA: exploiting facial symmetry for feature extraction
Jian-Xun Mi and Yueru Sun
Paper 442
09:12-09:24
Identification of apple tree trunk diseases based on improved convolutional neural network
with fused loss functions
Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang and Bing Wang
Paper 246
09:24-09:36
CNN-SIFT Consecutive Searching and Matching for Wine Label Retrieval
Xiaoqing Li, Jiansheng Yang, Jinwen Ma
Morning, August 5, Monday, Room A
R5: Optimization and Learning
Chairs: Marek Pawlicki, Md. Azizur Rahman
Paper 453
10:10-10:22
A Decomposition-based Hybrid Estimation of Distribution Algorithm for Practical Mean-
CVaR Portfolio Optimization
Yihua Wang, Wanyi Chen
Paper 258
10:22-10:34
Smart-Scrolling: Improving Information Access Performance in Linear Layout Views for
Small-Screen Devices
Chuanyi Liu, Ningning Wu, Wei Su
Paper 836
10:34-10:46
Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection
Marek Pawlicki, Rafal Kozik, Michal Choras
Paper 522
10:46-10:58
Model analysis and prediction of people's travel behaviors under no shared bicycles
Guoquan Liu
Paper 200
10:58-11:10
Fusion of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning
Method
29
Rui Yan, Fei Ren, Xiaosong Rao, Zihao Wang, Baorong Shi, Lingling Zhang, Yudong Liu, Jun
Liang, Chunhou Zheng, Fa Zhang
Paper 328
11:10-11:22
Cascade Dense-unet for Prostate Segmentation in MR Images
Suiyi Li, Yuxuan Chen, Su Yang, Wuyang Luo
Paper 667
11:22-11:34
A discrete sine cosine algorithm for community detection
Yongqi Zhao, Feng Zou, Debao Chen
Paper 268
11:34-11:46
Solving Symmetric and Asymmetric Traveling Salesman Problems Through Probe Machine
with Local Search
Md. Azizur Rahman and Jinwen Ma
Paper 327
11:46-11:58
Liver Segmentation in CT Images with Adversarial Learning
Yuxuan Chen, Suiyi Li, Su Yang, Wuyang Luo
Morning, August 5, Monday, Room B
R6: Special Session on Machine Learning and Deep Learning approaches in applied computing to support Industry for real-world problems Chairs: Mohammed Khalaf, Abir Jaafar Hussain
Paper 286
10:10-10:22
Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of
Huntington’s Disease
Xue Jiang,Miao Chen, Weidi Wang, Weichen Song,Guanning Lin
Paper 292
10:22-10:34
Urine sediment detection based on deep learning
Xiao-Tao Xu, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
Paper 361
10:34-10:46
Identification of apple leaf diseases based on convolutional neural network
Tao Fang, Peng Chen, Jun Zhang, Bing Wang and Chengjun Xie
Paper 677
10:46-10:58
Missing Data Imputation for Operation Data of Transformer Based on Functional Principal
Component Analysis and Wavelet Transform
Jiafeng Qin, Yi Yang, Zijing Hong, Hongyi Du
Paper 681
10:58-11:10
Periodic Action Temporal Location Method Based on Two-Path Architecture for Product
Counting in Sewing Video
Jin-Long Huang, Hong-Bo Zhang, Ji-Xiang Du, Jian-Feng Zheng, and Xiao-Xiao Peng
Paper 685
11:10-11:22
Investigating the Capability of Agile processes to Support Medical Devices Regulations: The
Case of XP, Scrum, and FDD with EU MDR Regulations
Mohmood Alsaadi, Alexei Lisitsa, Mohammed Khalaf
Paper 647
11:22-11:34
An Application of Using Support Vector Machine Based on Classification Technique for
Predicting Medical Data sets
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Mohamed Alloghani, Mahmood
Alsaadi
Paper 468
11:34-11:46
Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model
Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, and Bing Wang
Paper 274
11:46-11:58
Automatic Cloud Segmentation Based on the Fully Convolutional Neural Network
Jie An, Jingfeng Wu and Jinwen Ma
Paper 722
11:58-12:10
Data Science approaches for the analysis of animal behaviours
Natasa Kleanthous, Abir Hussain, Alex Mason, Jennifer Sneddon
Morning, August 5, Monday, Room C
30
R7: Bioinformatics
Chairs: Jun Meng, Bolin Chen
Paper 439
10:10-10:22
Prediction of Plant lncRNA-protein Interactions Using Sequence Information Based on Deep
Learning
Haoran Zhou, Yushi Luan, Peng Zhang, Jun Meng
Paper 525
10:22-10:34
MISSIM: improved miRNA-disease association prediction model based on Chaos Game
Representation and Broad Learning System
Kai Zheng, Zhu-Hong You , Yi-Ran Li, Yan-Bin Wang, and Han-Jing Jiang
Paper 471
10:34-10:46
Predicting of Drug-disease Associations via Sparse auto- encoder-based Rotation Forest
Han-Jing Jiang, Zhu-Hong You, Kai Zheng, Zhan-Heng Chen
Paper 463
10:46-10:58
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting
Proteins
Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Xi Zhou, Yan-Bin Wang
Paper 363
10:58-11:10
lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term
Memory Based on p-nts Encoding
Jun Meng, Zheng Chang, Hao-Ran Zhou, Jael-Sanyanda Wekesa, Yu-Shi Luan
Paper 125
11:10-11:22
A Novel Approach to predicting miRNA-disease associations
Guo Mao
Paper 730
11:22-11:34
Whole-Genome Shotgun Sequence of Natronobacterium Gregoryi SP2
Lixu Jiang, Hao Xu, Zhixi Yun, Juanjuan Kang, Bifang He, Jian Huang
Paper 637
11:34-11:46
Regulatory sequence architecture of stress responsive genes in (Oryza sativa)
Mohsin Ali Nasir, Samia Nawaz, Farrukh Azeem, Sajjad Haider
Paper 636
11:46-11:58
Gene functional module discovery via integrating geneexpression and PPI network data
Fangfang Zhu, Wenwen Min and Juan Liu
Paper 596
11:46-11:58
Identifying differentially expressed genes based on differentially expressed edges
Bolin Chen,
Paper 785
11:46-11:58
Knowledge based helix angle and residue distance restraint free energy terms of GPCRs
Hongjie Wu, Huajing Ling, Jiayan Han, Jiwen Ding, Weizhong Lu, Qiming Fu
Paper 284
11:46-11:58
Integrative Enrichment Analysis of Intra- and Inter- Tissues’ Differentially Expressed Genes
Based on Perceptron
Xue Jiang，Weihao Pan，Miao Chen，Weidi Wang，Weichen Song, Guan Ning Lin
Morning, August 5, Monday, Room D
R8: Image Processing and Classifications Chairs: Prashan Premaratne, Youlkyeong Lee
Paper 162
10:10-10:22
A Welding Defect Identification Approach in X-ray Images Based on Deep Convolutional
Neural Networks
Yuting Wang, Fanhuai Shi, Xuefeng Tong
Paper 332
10:22-10:34
Weed Recognition in Wheat Field based on Sparse Representation Classification
Shanwen Zhang, Xianfeng Wang, Zhen Wang
Paper 803 Performance Evaluation of Faster R-CNN for On-Road Object detection on Graphical
31
10:34-10:46 Processing Unit and Central Processing unit
Tanvir Ahmad, Yinglong Ma
Paper 538
10:46-10:58
Dice Loss in Siamese Network for Visual Object Tracking
Zhao Wei, Fei Wang
Paper 556
10:58-11:10
Single and Multi-channel Direct Visual Odometry with Binary Descriptors
Brendan Halloran, Prashan Premaratne, Peter James Vial and Inas Kadhim
Paper 304
11:10-11:22
Exploiting Local Shape Information for Cross-Modal Person Re-identification
Md Kamal Uddin, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi and Yoshinori Kuno
Paper 435
11:22-11:34
A Diversity based Competitive Multi-Objective PSO for Feature Selection
Jianfeng Qiu, Fan Cheng, Lei Zhang and Yi Xu
Paper 459
11:34-11:46
An Evolutionary Algorithm based on Multi-operatorEnsemble for Multi-objective
Optimization
Chao Wang, Ran Xu, and Xingyi Zhang
Paper 717
11:46-11:58
Occluded Object Classification with Assistant Unit
Qing Tang, Youlkyeong Lee, and Kanghyun Jo
Afternoon, August 5, Monday, Room A
R9: Intelligent Computing and Applications Chairs: Vasudev Sharma, ZhongqiuZhao
Paper 691
13:20-13:32
Univariate Thiele type continued fractions rational interpolation with parameters
Le Zou, Liang-Tu Song, Xiao-Feng Wang , Qian-Jing Huang, Yan-Ping Chen, Chao Tang and Chen
Zhang
Paper 774
13:32-13:44
An algorithm of bidirectional RNN for offline handwritten Chinese text
Xin-Feng Zhang, Kun-Peng Yan
Paper 515
13:44-13:56
A Novel Compression Algorithm for Hardware-Oriented Gradient Boosting DecisionTree
Classification Model
Xiao Wang, Kuizhi Mei
Paper 278
13:56-14:08
Chinese Agricultural Entity Relation Extraction via Deep Learning
Kai Zhang, Chuan Xia, Guoliang Liu, Wenyu Wang, Yunzhi Wu, Youhua Zhang and Yi Yue
Paper 781
14:08-14:20
Short text mapping based on fast clustering using minimum spanning trees
Li Pingrong
Paper 266
14:20-14:32
A Novel Concise Representation of Frequent Subtrees Based on Density
WeidongTian, ChuangGuo, YangXie, HongjuanZhou, ZhongqiuZhao
Paper 454
14:32-14:44
An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock
Column
Guangyu Wang, Bing Dai, Wenyan Wang, Hongming Long, Jun Zhang, Peng Chen, and Bing
Wang
Paper 719
14:44-14:56
A Fuzzy Constraint Based Method for Outlier Detection
Vasudev Sharma, Abhinav Nagpal, B.K Tripathy
Paper 445
14:56-15:08
Ranking Research Institutions Based on the Combination of Individual and Network
Features
Wenyan Wang, Guangyu Wang Jun Zhang, Peng Chen, and Bing Wang
32
Afternoon, August 5, Monday, Room B
SS1: Intelligent Automation and Learning
Chairs: B. John Oommen, Duy-Long Nguyen
Paper 108
13:20-13:32
Learning Automata-based Solutions to the Multi-Elevator Problem
O. Ghaleb and B. John Oommen
Paper 593
13:32-13:44
Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid
Duy-Long Nguyen and Hong-Hee Lee
Paper 848
13:44-13:56
Power supply and its expert system for cold welding of aluminum and magnesium sheet metal
Liling Zhang, Bing Li, Jianxiong Ye
Paper 553
13:56-14:08
Continuous PID Sliding Mode Control Based on Neural Third Order Sliding Mode Observer
for Robotic Manipulators
Van-Cuong Nguyen, Anh-Tuan Vo and Hee-Jun Kang
Paper 174
14:08-14:20
Full-Order Sliding Mode Control Algorithm for Robot Manipulators Using an Adaptive
Radial Basis Function Neural Network
Anh Tuan Vo, Hee-Jun Kang, and Tien Dung Le
Paper 112
14:20-14:32
Developing System from Low-Cost Devices to Build a Security and Fire System as a Part of
IoT
Tefan Koprda , Zoltán Balogh, Martin Magdin
Paper 671
14:32-14:44
A human-robot interaction system based on calling hand gestures
Aye Su Phyo, Hisato Fukuda, Antony Lam, Yoshinori Kobayashi, and Yoshinori Kuno
Paper 516
14:44-14:56
CBLNER: A multi-models biomedical named entity recognition system based on machine
learning
Gong Lejun, Liu, Xiaolin, Yang Xuemin, Jia Yao, Zhang Zhifei and Yang Ronggen
Paper 119
14:36-14:48
EEG-based Seizure Diagnosis Using Discriminative Fractal Features From Feature Selection
Su Yang, Yi Sun, Gang Li, Jing Lu, Zhengyu Huang, and Jiulong Zhang
Paper 113
14:48-15:00
EmoSens – the Proposal of System for Recognition of Emotion with SDK Affectiva and
various sensors
Martin Magdin, Michal Kohutek, Stefan Koprda, Zoltan Balogh
Afternoon, August 5, Monday, Room C
R10: Computing Genomics and Proteomics
Chairs: Hai-Cheng Yi, Zhu-Hong You
Paper 352
13:20-13:32
Identifying Cancer Biomarkers from High-throughput RNA sequencing Data by Machine
Learning
Zishuang Zhang, Zhi-Ping Liu
Paper 467
13:32-13:44
A Novel Differential Essential Genes Prediction Method Based on Random Forests Model
Jiang Xie, Jiamin Sun, Jiaxin Li, Fuzhang Yang, Jiao Wang
Paper 477
13:44-13:56
Identification of candidate biomarkers and pathways associated with liver cancer by
bioinformatics analysis
Zhen-Bo Tian, Xu-Qing Tang
33
Paper 408
13:56-14:08
Identification of prognostic and heterogeneous breast cancer biomarkers based on fusion
network and multiple scoring strategies
Xingyi Li, Ju Xiang, Fang-Xiang Wu and Min Li
Paper 342
14:08-14:20
Learning from Deep Representations of Multiple Networks for Predicting Drug–Target
Interactions
Pengwei Hu, Yu-an Huang, Shaochun Li, Keith C.C. Chan, Henry Leung, Zhuhong You, Lun Hu
Paper 330
14:20-14:32
Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences
Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang
Paper 320
14:32-14:44
A novel framework for improving the prediction of disease-associated microRNAs
Wenhe Zhao, Jiawei Luo, Nguyen Hoang Tu
Paper 473
14:44-14:56
Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel
Function for Predicting LncRNA-Disease Associations
Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li, Jin-Xing Liu
Paper 407
14:56-15:08
SPHot: Sequence-based prediction of hot spots in protein-RNA complexes using an
ensemble approach
Le Zhao, Jie Li, Sijia Zhang, and Junfeng Xia
Paper 616
15:08-15:20
An efficient LightGBM model to predict protein selfinteracting using Chebyshev moments
and bi-gram
Zhao-Hui Zhan, Zhu-Hong You, Yong Zhou and Kai Zheng
Paper 601
15:20-15:32
Predicting potential Drug-Target Interactions with Multi-label learning and ensemble
learning
Lida Zhu, Jun Yuan, Fuxi Zhu
Paper 479
15:32-15:44
EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single
Cell RNA-seq Sequencing Data
Anqi Ma, Zuolang Zhu, Meiqin Ye, and Fei Wang
Afternoon, August 5, Monday, Room D
SS4: Intelligent Computing in Robotics and Computer Vision
Chairs: Kaushik Deb, Kang-Hyun Jo
Paper 180
13:20-13:32
Realtime Computer Vision-based Accurate Vehicle Counting and Speed Estimation for
Highways
C. Shiranthika, P. Premaratne, Z. Zheng, B. Halloran
Paper 545
13:32-13:44
Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier
Aapan Mutsuddy, Kaushik Deb , Tahmina Khanam and Kang-Hyun Jo
Paper 532
13:44-13:56
Fully Convolutional Neural Networks for 3D Vehicle Detection based on Point Clouds
Wen Lihua, Kang-Hyun Jo
Paper 316
13:56-14:08
Comparison of Various Weighted k-Nearest Neighbor Methods for Positioning Systems using
Visible LED Lights
Huy Q. Tran and Cheolkeun Ha
Paper 764
14:08-14:20
A Discrete Particle Swarm Optimization for PairwiseSequence Alignment
Du Yanlian, He Jingxuan and Du Changcun
Paper 669
14:20-14:32
Smart Wheelchair Maneuvering Among People
Sarwar Ali, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi, and Yoshinori Kuno
34
Paper 551
14:32-14:44
A New Hybrid Calibration Method for Robot Manipulators by Combining Model–Based
Identification Technique and A Radial Basis Function–Based Error Compensation
Phu-Nguyen Le, Hee-Jun Kang
Paper 547
14:44-14:56
A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and
LiDAR Sensor
Md Matiqul Islam, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi and Yoshinori Kuno
Paper 511
14:56-15:08
Designing and Implementing Mobile Robot Navigation Based on Behavioral Programming
Zuohua Ding, Bing Liu, and Haibang Xia
Paper 129
15:08-15:20
Particle Swarm Optimization-based Power Allocation Scheme for Secrecy Sum Rate
Maximization in NOMA with Cooperative Relaying
Carla E. Garcia, Mario R. Camana, Insoo Koo, and Md Arifur Rahman
Afternoon, August 5, Monday, Room A
R11: Pattern Recognition and Neural Networks
Chairs: Abir Hussain, Yonggang Lu
Paper 212
15:28-15:40
Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on
Sensor Data
Ya Wang, Weichuang Fang, Jinwen Ma, Xiangchen Li, Albert Zhong
Paper 224
15:40-15:52
A Deep Learning Model for Multi-Label Classification Using Capsule Networks
Diqi Pan, Yonggang Lu, Peiyu Kang
Paper 452
15:52-16:04
Bundled Round Bars Counting Based on Iteratively Trained SVM
Chang Liu, Liyao Zhu, Xin Zhang
Paper 692
16:04-16:16
Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and
Neural Network
Jian Zhou, Qian-Jing Huang, Xiao-Feng Wang and Le Zou
Paper 307
16:16-16:28
Automatical Pulmonary Nodule Detection by Feature Contrast Learning
Jie Chang,Minquan Ye,Naijie Gu, Xiaoci Zhang, Chuanwen Lin, Hong Ye
Paper 649
16:28-16:40
Dynamic Neural Network for Business and Market Analysis
Javier de Arquer Rilo, Abir Hussain, Thar Baker, Dhiya Al-Jumeily
Paper 797
16:40-16:52
ψ-type synchronization of memristor-based competitive neural networks with time-varying
delays via nonlinear feedback control
Yue Chen, Zhenkun Huang, Chao Chen
Paper 444
16:52-17:04
Unsupervised Cross-Domain Person Re-Identification Based on Style Transfer
Yanwen Chong, Chengwei Peng, Jingjing Zhang, Shaoming Pan
Afternoon, August 5, Monday, Room B
R12: Intelligent Data Analysis and Prediction Chairs: Hong-Hee Lee, Hee-Jun Kang
Paper 620
15:10-15:22
Credibility Assessment of Complex Simulation Models using Cloud Models to Represent
and Aggregate Diverse Evaluation Results
35
Xiaojun Yang, Zhongfu Xu, Rongmao He, Fangxia Xue
Paper 627
15:22-15:34
Real Implementation of an Active Fault Tolerant Control based on Super Twisting
Technique for a Robot Manipulator
Quang Dan Le and Hee-Jun Kang
Paper 612
15:34-15:46
A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional
Switches Indirect Matrix Converter
Van-Tien Le and Hong-Hee Lee
Paper 618
15:46-15:58
Rotary Machine Fault Diagnosis using Scalogram Imageand Convolutional Neural
Network with Batch Normalization.
Hee Jun Kang and Duy Tang Hoang
Paper 147
15:58-16:10
Mildew Prediction Model of Warehousing Tobacco Based on Particle Swarm Optimization
and BP Neural Network
Ye zhixia,Yun lijun,Zhang jingchao,Wang yibo
Paper 696
16:10-16:22
Precipitation Modeling and Prediction Based on Fuzzy-control Multi-cellular Gene
Expression Programming and Wavelet Transform
YuZhong Peng, Chuyan Deng, Hongya Li, Daoqing Gong, Xiao Qin
Paper 598
16:22-16:34
Exploring the pan-relationship between disease and symptom related to coronary heart
disease from Chinese electronic medical records
Yichen Wang, Bo Wang，Lipeng Zhang, Lejun Gong
Paper 110
16:34-16:46
Optimizing Self-Organizing Lists-on-Lists using Pursuit-Oriented Enhanced Object
Partitioning
O. Ekaba Bisong and B. John Oommen
Paper 724
16:46-16:58
Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices
Chuanyi Liu, Mingyuan Cui, Wei Su
Paper 411
16:58-17:10
Research on Full Homomorphic Encryption Algorithm for Integer in Cloud Environment
Lijuan Wang1, Lina Ge, Zhonghua He, Yugu Hu. Zerong Zhao, Hangui Wei
Paper 523
17:10-17:22
Implementation of a centralized scheduling algorithm for IEEE 802.15.4e TSCH
Jules Pascal Gilles RUGAMBA, Dinh Loc MAI, Myung Kyun KIM
Afternoon, August 5, Monday, Room C
R13: Biomedical Data Modeling and Mining
Chairs: Y-h. Taguchi, Fang-Xiang Wu
Paper 168
15:54-16:06
Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data
Yuanyuan Li, Ping Luo, Yi Lu and Fang-Xiang Wu
Paper 448
16:06-16:18
An effective approach of measuring disease similarities based on the DNN regression model
Shuhui Su, Xiaoxiao Zhang, Lei Zhang and Jian Liu
Paper 464
16:18-16:30
Herb Pair Danggui-Baishao: Pharmacological Mechanisms Underlying Primary
Dysmenorrhea by Network Pharmacology Approach
LI Li-ting,Qiu Hai-Yan, Liu Mi-Mi,Cai Yong-Ming
Paper 447
16:30-16:42
A Novel Weight Learning Approach Based on Density for Accurate Prediction of
Atherosclerosis
Jiang Xie；Ruiying Wu；Haitao Wang；Yanyan Kong；Wu Zhang
Paper 591 Simulation of Complex neural firing patterns based on improved deterministic Chay model
36
16:42-16:54 Zhongting Jiang, Dong Wang, Huijie Shang, Yuehui Chen
Paper 466
16:54-17:06
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence
Information
Yijie Ding; Jijun Tang; Fei Guo;
Paper 240
17:06-17:18
Improving hot region prediction by combining gaussian naive Bayes and DBSCAN
Jing Hu and Longwei Zhou and Xiaolong Zhang and Nansheng Chen
Paper 462
17:18-17:30
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive
Similarity Measures and Gaussian Interaction Profile Kernel
Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Han-Jing Jiang
Paper 192
17:30-17:42
Classifying Mixed Patterns of Proteins in High-throughput Microscopy Images Using Deep
Neural Networks
Enze Zhang, Boheng Zhang, Shaohan Hu, Fa Zhang and Xiaohua Wan
Paper 358
17:42-17:54
Multiomics data analysis using tensor decomposition based unsupervised feature extraction
--Comparison with DIABLO--
Y-h. Taguchi
Paper 458
17:54-18:06
End-to-end learning based compound activity prediction using binding pocket information
Toshitaka Tanebe and Takashi Ishida
Afternoon, August 5, Monday, Room D
R14: Classification and Feature Extraction
Chairs: Daniel Ayala Nio, Cristian Camardella
Paper 139
15:30-15:42
Sound field reproduction in reverberant room using the Alternating Direction Method of
Multipliers based Lasso and regularized Least-Square
Jiaming Zhang, Maoshen Jia, Changchun Bao, Qi Wang
Paper 608
15:42-15:54
Complex leaves classification with features extractor
Daniel Ayala Nio, Ma. Dolores Arévalo Zenteno, Laura D. Jalili and Jair Cervantes
Paper 543
15:54-16:06
MPdeep: the medical procession with deep learning
Qi Liu
Paper 434
16:06-16:18
Research of Formal Analysis Based on Extended Strand Space Theories
Meng-meng Yao, Jun Zhang, Xi Weng
Paper 334
16:18-16:30
Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks
Xianfeng Wang, Shanwen Zhang, Zhen Wang
Paper 728
16:30-16:42
Evaluating generalization capability of Bio-inspired models for a myoelectric control: a
pilot study
Cristian Camardella, Michele Barsotti, Luis Pelaez Murciego, omenico Buongiorno, Vitoantonio
Bevilacqua, Antonio Frisoli
Paper 127
16:42-16:54
Cluster-head Selection for Energy-harvesting IoT Devices in Multi-tier 5G Cellular Networks
Mario R. Camana, Carla E. Garcia and Insoo Koo
Paper 690
16:54-17:06
Shuffle Single Shot Detector
Yangshuo Zhang, Jiabao Wang, Zhuang Miao, Yang Li, Jixiao Wang
Paper 564
17:06-17:18
Evaluating CNNs for Military Target Recognition
Xiao Ding, Lei Xing, Tao Lin, Jiabao Wang, Yang Li, Zhuang Miao
37
Afternoon, August 4, Sunday, Multi-Function Grand Hall
Poster Presentation
Poster 856
An improved natural scene curved text detection method
Xiao Qin; Jianhui Jiang; Wei Fan; Changan Yuan; Guodui He; Chengcheng Huang
Poster 858
Uncertainty and reduction of multi-granulation hesitant fuzzy Uncertainty and reduction of
multi-granulation hesitant fuzzy rough sets based on three-way decisions
Hong Wang, Huanhuan Cheng
Poster 860
Transcription factor binding sites prediction based on deep convolutional auto-encoder Yongqing Zhang, Yuanqi Zeng, Shaojie Qiao, Jiliu Zhou
Poster 863
A algorithm of bidirectional RNN for offline handwritten Chinese text
recognition Xinfeng Zhang, Kunpeng Yan
Poster 864
Heterogeneous Evolving Cuckoo Search Algorithm for Large-Scale Global Optimization in
Power Systems
Zhenyu Huang, Zhengzhong Gao Poster 865
Accurate Sensing of Toothbrushing Activities via Wrist-worn Devices Xingyu Feng,Lixin Wang,Yijing Huang,Jinjiang Lai,Yiying Li,Chengwen Luo
Poster 867
RFID-based Gait Recognition for Unobtrusive User Identification in Smart Spaces Jiawei Wu, Lixin Wang, Yijing Wang, Jinjiang Lai, Yiying Li, Chengwen Luo
Poster 868
Image classification method based on small-scale data set under attention mechanism
Changan Yuan;Guodui He;Xiao Qin;Jianhui Jiang;Wei Fan;Chengcheng Huang
Poster 869
HAlign: Fast Multiple Similar DNA/RNA Sequence Alignment Based on the Centre Star
Strategy
Quan Zou
Poster 870
MRMD2.0: A Python tool for machine learning features ranking and reduction Quan Zou
Poster 871
PNIDB: a functional classification database for pro-tein-nucleic acid
interactions Quan Zou
Poster 873
Prediction of Drug-Disease Associations With Heterogeneous Network Embedding
Kai Yang, Xing-Ming Zhao Poster 874
Complex Chinese Character Glyph Generation Technology Based on Attention Mechanism Changan Yuan ; Wei Fan ;Xiao Qin ; Jianhui Jiang; Guodui He; Chengcheng Huang
Poster 875
PPIM: A protein-protein interaction database for Maize Guanghui Zhu, Xing-Ming Zhao
Poster 879
MotifCNN-fold: Protein Fold Recognition based on Features Extracted via Motif-based
Convolutional Neural Networks Chen-Chen Li, Bin Liu
Poster 881
Borderline Ovarian Tumors Segmentation on CT Scans using U-Net Convolutional
Network Meiqin Gong, Ji Huang, Yongqing Zhang, Jiliu Zhou
38
The Fifteenth International Conference on Intelligent Computing
Nanchang, China, August, 3-6, 2019
Website: ic-ic.tongji.edu.cn
Email: [email protected]