Keynote&Plenary Speakers for ICCC 2018

Keynote Speakers


Prof. Leyi Wang, IEEE Fellow, Department of Electrical and Computer Engineering, Wayne State University, USA

Biography: Le Yi Wang received the Ph.D. degree in electrical engineering from McGill University, Montreal, Canada, in 1990. Since 1990, he has been with Wayne State University, Detroit, Michigan, where he is currently a professor in the Department of Electrical and Computer Engineering. His research interests are in the areas of complexity and information, system identification, robust control, H-infinity optimization, time-varying systems, adaptive systems, hybrid and nonlinear systems, information processing and learning, as well as medical, automotive, communications, power systems, and computer applications of control methodologies. He was a keynote speaker in several international conferences. He serves on the IFAC Technical Committee on Modeling, Identification and Signal Processing. He was an Associate Editor of the IEEE Transactions on Automatic Control and several other journals, and an Associate Editor of Journal of Control Theory and Applications. He was a Visiting Faculty at University of Michigan in 1996, Visiting Faculty Fellow at University of Western Sydney, Australia, in 2009 and 2013, and Visiting Faculty at Vienna University of Technology, Austria, in 2016. He is a member of a Foreign Expert Team in Beijing Jiao Tong University and a member of the Core International Expert Group at Academy of Mathematics and Systems Science, Chinese Academy of Sciences.

He received Research Initiation Award (1992) and Faculty Internship Award (1994) from the USA National Science Foundation, Best Paper Award from IEEE EIT 2012, Best Poster Award from IEEE SEM 2012, Best Paper Award from ICEEE 2017, Best Paper Award in Journal of Systems Science and Complexity in 2016, Best Associate Editor Award (2016) from Control Theory and Technology, Outstanding Reviewer Award (2012-2013) from Automatica,  Faculty Research Award (1992), College of Engineering Outstanding Teaching Award (1995), President Research Enhancement Award (2003-2005), College of Engineering Faculty Research Excellence Award (2015) from Wayne State University. He is an Eminent Engineer in Tau Beta Pi, a member of Academy of Scholars at Wayne State University, and a Fellow of IEEE.


Prof. Sheng-Uei Guan, Xi'an Jiaotong-Liverpool University, China


Biography: Steven Guan received his M.Sc. & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor and the Director for Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University (XJTLU). He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined Yuan-Ze University for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor. Prof. Guan’s research interests include: machine learning, intelligent systems, computational intelligence, big data analytics, data mining, personalization, modeling, security, networking, electronic commerce, mobile commerce, coding theory, and pseudorandom number generation. He has published extensively in these areas, with 130+ journal papers and 180+ book chapters or conference papers. He has chaired and delivered keynote speeches for 30+ international conferences and served in 170+ international conference committees and 20+ editorial boards.




Prof. Yulin Wang, Wuhan University, China


Biography: Prof. Yulin Wang is a full professor and PhD supervisor in International School of Software, Wuhan University, China. He got PhD degree in 2005 in Queen Mary, University of London, UK. Before that, he has worked in high-tech industry for more than ten years. He has involved many key projects, and hold 8 patents. He got his master and bachelor degree in 1990 and 1987 respectively from Xi-Dian University, and Huazhong University of Science and Technology(HUST), both in China. His research interests include digital rights management, digital watermarking, multimedia and network security, and signal processing. In recently 10 years, Prof. Wang has published as first author 3 books, 40 conference papers and 45 journal papers, including in IEEE Transactions and IEE proceedings and Elsevier Journals. Prof. Wang served as editor-in-chief for International Journal of Advances in Multimedia in 2010. He served as reviewer for many journals, including IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Elsevier Journal of Information Sciences. He served as reviewer for many research funds, including National High Technology Research and Development Program of China ( ‘863’ project). Prof. Wang was the external PhD adviser of Dublin City University, Ireland during 2008-2010. He was the keynote speakers in many international conferences. He bas been listed in Marcus ‘who’s who in the world’ since 2008.


Prof. Yutaka Ishibashi, Nagoya Institute of Technology, Japan


Biography: Yutaka Ishibashi received the B.E., M.E., and Ph.D. degrees from Nagoya Institute of Technology, Nagoya, Japan, in 1981, 1983, and 1990, respectively. In 1983, he joined the Musashino Electrical Communication Laboratory of Nippon Telegraph and Telephone Public Corporation (currently, NTT). From 1993 to 2001, he served as an Associate Professor of Department of Electrical and Computer Engineering, Faculty of Engineering, Nagoya Institute of Technology. Currently, he is a Professor of Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology. From June 2000 to March 2001, he was a visiting researcher, Department of Computer Science and Engineering, University of South Florida (USF), USA. His research interests include networked multimedia, QoS (Quality of Service) control, media synchronization, and remote robot control with force feedback. He was the Chair of the IEICE Communication Quality Technical Committee from 2007 to 2009. He served as TPC Chair of IEEE CQR (Communications Quality and Reliability) Workshop in 2011 and 2012. He also served as NetGames (Network and Systems Support for Games) Workshop Co-Chair in 2006, 2010, 2014, and 2017, Executive Committee Chair of Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering in Japan, Chair of MAW 2017 (Metro Area Workshop in Nagoya, 2017), Conference Co-Chair of IEEE ICCC 2017, Conference Chair of ICCCS 2018, and Technical Program Chair of IEEE ICCE-TW 2018. He was IEEE Nagoya Section Secretary in 2015 and 2016, and he is currently IEEE Nagoya Section Chair. He is further a Steering Committee Member of NetGames. He is a Fellow of IEICE, a Senior member of IEEE, and a Member of ACM, ITE, IPSJ, VRSJ, and IEEJ.


Prof. Tianrui Li, Southwest Jiaotong University, China

教授/主任 李天瑞 四川省云计算与智能技术高校重点实验室/西南交通大学


Biography: Tianrui Li received his  B.S. degree, M.S. degree and P h.D. degree from the Southwest  Jiaotong University, China  in 1992, 1995 and 2002 respect ively. He was a Post-Doctoral  Researcher at Belgian Nuclear  Research Centre (SCK • CEN),  Belgium from 2005-2006, a visiting professor at Hasselt  University, Belgium in 2008, t he University of Technology, Sydney, Australia in 2009 and the University of Regina, Canad a in 2014. And, he is presentl y a Professor and the Director  of the Key Lab of Cloud Computing and Intelligent  Technique of Sichuan Province,  Southwest Jiaotong  University, China. Since 2000,  he has co-edited 6 books, 10 special issues of internationa l journals, 15 proceedings,  received 5 Chinese invention  patents and published over  240 research papers (e.g., IEEE  TKDE, IEEE TEC, IEEE TFS, IEEE TIFS, IEEE ASLP, IEEE TIE, IEEE TC, IEEE TVT) in refereed journals  and conferences (e.g., KDD,  IJCAI, UbiComp). Three papers  were ESI Hot Papers and Ten papers was ESI Highly Cited  Papers. His Google H-index is 32. He serves as the area editor of International Journal of Computational Intell igence Systems (SCI), editor  of Knowledge-based Systems ( SCI) and Information Fusion ( SCI), etc. He is an IRSS fellow, a  distinguished member of CCF,  a senior member of ACM, IEEE,  CAAI, ACM SIGKDD member,  Chair of IEEE CIS Chengdu  Chapter, Treasurer of ACM  SIGKDD China Chapter and CCF  YOCSEF Chengdu Chair (2013- 2014). Over fifty graduate  students (including 8 Post- Docs, 12 Doctors) have been  trained. Their employment  units include Microsoft  Research Asia, Sichuan  University, Baidu, Alibaba,  Tencent and Huawei. They have  received 2 "Si Shi Yang Hua"  Medals, Best Papers/ Dissertation Awards 13 times,  Champion of Sina Weibo Interac tion-prediction at Tianchi Big Data Competition (Bonus  200,000 RMB), Second Place of  Social Influence Analysis  Contest of IJCAI-2016  Competitions.

Prof. Yan Yang, Southwest Jiaotong University, China
副院长/教授 杨燕 西南交通大学信息科学与技术学院

Biography: Dr. Yan Yang is currently Professor and vice dean of Information Science and Technology, Southwest Jiaotong University. She worked as a visiting scholar at the Center of Pattern Analysis and Machine Intelligence (CPAMI) in Waterloo University of Canada for one and half year. She is an Academic and Technical Leader of Sichuan Province. Her research interests include artificial intelligence, big data analysis and mining, ensemble learning, cloud computing and service. Prof. Yang has participated in more than 10 high-level projects recently. And have taken charge of two programs supported by the National Natural Science Foundation of China (NSFC), one NSFC International (Regional) Cooperation and Exchanges program, one Project of National Science and Technology Support Program, and one Supporting Program for Science and Technology of Sichuan Province. She has authored and co-authored over 150 papers in journals and international conference proceedings, 1 special issue of international journal, 1 proceeding and 2 books. She also serves as the Vice Chair of ACM Chengdu Chapter, a distinguished member of CCF, a senior member of CAAI, a member of IEEE, ACM, ACM SIGKDD, CCF Education Work, CCF Artificial Intelligence and Pattern Recognition, CCF Theoretical Computer Science, CAAI Machine Learning, CAAI Grain Calculation and Knowledge Discovery Committee, Deputy Secretary General of Sichuan Computer Society and Vice Chair of Big Data Industry University Research Council of Sichuan Institute of Electronics.



Plenary Speakers

Prof. Nan Wang, California State University, Fresno, USA


Biography: Dr. Nan Wang received his B.S. in Computer Science from Xiamen University in Xiamen, China, and his Ph.D. in Computer Engineering from the University of Louisiana in Lafayette, Louisiana. From 2008 to 2015, Dr. Wang has been with West Virginia University Institute of Technology, where he earned a tenured position in 2014. He is currently an associate professor within the Department of Electrical and Computer Engineering at California State University in Fresno, California. He has served as a keynote speaker, session chair, TPC member, and reviewer for various peer reviewed journals and conferences, in which he also has numerous publications. Dr. Wang is also serving as a panelist for the National Science Foundation’s program solicitation for the Japan-US Network Opportunity (JUNO2) and the R&D for Trustworthy Networking for Smart and Connected Communities. He has more than 20 years of combined industry and teaching experience. His research interests include system-on-chip/network-on-chip communication architecture, embedded systems, FPGA/ASIC design and implementation, real-time computing and VLSI design, and wireless communication. In his free time, Dr. Wang serves as a faculty advisor for the Asian Christian Student Organization at the California State University in Fresno, California.



Prof. Ai Bo, Beijing Jiaotong University, China


Biography:Prof. Bo Ai received his Master degree and Ph. D. degree from Xidian University in China. He graduated from Tsinghua University with the honor of Excellent Postdoctoral Research Fellow at Tsinghua University in 2007. He was a visiting professor at EE Department, Stanford University in 2015. He is now working at Beijing Jiaotong University as a full professor and Ph. D. candidate advisor. He is the Deputy Director of State Key Lab of Rail Traffic Control and Safety, and the Deputy Director of International Joint Research Center. He is one of the main responsible people for Beijing “Urban rail operation control system” International Science and Technology Cooperation Base, and the backbone member of the Innovative Engineering Based jointly granted by Chinese Ministry of Education and the State Administration of Foreign Experts Affairs.

He has authored/co-authored 8 books and published over 300 academic research papers in his research area. He has hold 26 invention patents. He has been the research team leader for 26 national projects and has won some important scientific research prizes. He has been notified by Council of Canadian Academies (CCA) that, based on Scopus database, Prof. Bo Ai has been listed as one of the Top 1% authors in his field all over the world. Prof. Bo Ai has also been Feature Interviewed by IET Electronics Letters. His interests include the research and applications of channel measurement and channel modeling, dedicated mobile communications for rail traffic systems.

Prof. Bo Ai is a Fellow of the Institution of Engineering and Technology (IET Fellow), IEEE VTS Distinguished Lecturer. He is an IEEE VTS Beijing Chapter Vice Chair. IEEE BTS Xi’an Chapter Chair. He was as a Co-chair or a Session/Track Chair for many international conferences. He is an Editor of IEEE Transactions on Consumer Electronics and an Editorial Committee Member of the Wireless Personal Communications journal. He is the Lead Guest Editor for Special Issues on IEEE Transactions on Vehicular Technology, IEEE Antennas and Propagations Letters, International Journal on Antennas and Propagations. He has received many awards such as Outstanding Youth Foundation from National Natural Science Foundation of China, the Qiushi Outstanding Youth Award by Hong Kong Qiushi Foundation, the New Century Talents by the Chinese Ministry of Education, the Zhan Tianyou Railway Science and Technology Award by the Chinese Ministry of Railways, and the Science and Technology New Star by the Beijing Municipal Science and Technology Commission.



Prof. Yinglei Song, Jiangsu University of Science and Technology, China


Biography:Yinglei Song received his B.S. from Tsinghua University in 1998 and his Ph.D. in Computer Science from the University of Georgia in 2006. From 2007 to 2012, he was an assistant professor of computer science at the University of Maryland Eastern Shore, USA. He is now a Professor of Electronics and Information Science at Jiangsu University of Science and Technology. He was selected to be one of the Specially Appointed Professors of Jiangsu Province in 2015. He has published over 80 refereed research papers and has served in the editorial boards and program committees of a few well known international journals and conferences. His research is in the design, analysis, implementation and applications of algorithms for graph optimization problems. His work spans theory and practice, including both algorithm development and real-world applications.


Title: Computing exact solutions for intractable optimization problems with tree decomposition

Abstract: In computer and information science, a large number of optimization problems can be formulated on graphs and many of them are computationally intractable. Algorithms that can efficiently compute exact solutions for these problems are thus highly desirable in practice. In this talk, I will present an algorithmic framework that is useful for efficiently computing the exact solutions of these problems in practice. Specifically, given an optimization problem, a graph model can often be constructed to formulate the problem. Based on a tree decomposition of the graph model, an exact solution for the optimization problem can often be efficiently computed by a dynamic programming algorithm. As an example,I will discuss a dynamic programming algorithm that can compute a maximum independent set in a graph with bounded tree width in linear time. I will then present a large number of intractable problems from different areas in computer science and show that they can be efficiently solved based on this framework when the underlying graph model has a bounded tree width. In addition, I will also present a class of optimization problems whose exact solutions can be efficiently computed with this framework and a heuristic algorithm that can efficiently generate a tree decomposition of a given graph.


Prof. Zhanji Wu, Beijing University of Posts and Telecommunications, China


Biography: Zhanji Wu got Ph.D. degree in information engineering as the top honor award from Beijing University of Posts and Telecommunications (BUPT) in 2004. From July, 2004 to July, 2006, he was a senior researcher in the advanced mobile telecommunication institute of the Panasonic Corporation. Since July, 2006, he has been in BUPT as a professor. His research interests focus on the information theory, channel coding/modulation, and non-orthogonal transmission technology. As the first or corresponding author, he has published more than100 papers on IEEE/IET/Springer journals /onferences and five monographs, and own 31 patents including US PCTs. As a principle investigator, he accomplished a national great scientific project about the next generation broadband wireless network, three national science funds, and more than 20 research projects with major companies ( Huawei, China Mobile, CAICT, etc). As the first contributor, he was awarded a technology-invention and an innovation-leading prize by Beijing and Nanjing government, respectively. Now, he is a team leader of national International Mobile Telecommunications (IMT)-2020 new coding/modulation technology standardization group, and a technical adviser of Beijing science-and-technology committee. He is also a senior member of IEEE and CIE (Chinese Institute of Electronics).


Speech Title: Computing exact solutions for intractable optimization problems with tree decomposition


Prof. Wanyang Dai, Nanjing University, China


Biography: Wanyang Dai is a Distinguished Professor in Nanjing University, a Special Guest Expert in Jiangsu FinTech Research Center, President of Jiangsu Probability & Statistics Society, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee, and Editor-in-Chief of Journal of Advances in Applied Mathematics, where his research includes stochastic processes related optimization and Pareto optimal control/game, admission/scheduling/routing protocols and performance analysis/optimization for BigData-Blockchain oriented quantum-cloud computing and wireless/wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, Internet of Things, energy and power engineering. His “influential" papers are published in ”big name" journals, e.g., Operations Research, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Queueing Systems, Mathematical and Computer Modeling of Dynamical Systems. His researches were awarded as outstanding papers by academic societies, e.g., IEEE Top Conference Series. He received his Ph.D degree from Georgia Institute of Technology, U.S.A., in 1996. He was an MTS (permanent) in End-to-End Network Architecture Department of AT&T Bell Labs (now called Nokia Bell Labs) in U.S.A. from 1996-1999, where he was principal investigators and developers of several projects in telecommunication network architecture and design, network performance and financial engineering, operating system and database development to support various intelligent engines/models for strategy planning and BigData analytics in a “Plug-in and Play" manner, with some (nowadays called cloud computing) project won ”Technology Transfer". He is also editors of over 20 international journals ranging from pure mathematics to its applications (e.g., Wireless Engineering and Technology, Artificial Intelligence), General Chairs and plenary/keynote speakers of over 30 IEEE and international conferences.


Invited Speakers

Prof. Thorsten Herfet, Department of Computer Science Campus, Saarland University, Germany


Biography: Prof. Dr.-Ing Thorsten Herfet is full university professor at the Saarland Informatics Campus, Germany. Prior to his appointment (2004) he has been VP Advanced Research with Grundig AG and Manager CE Standards and Regulation EMEA with Intel Corp.

Thorsten received his diploma on electrical engineering and his Ph.D. on digital image processing and transmission form Technical University Dortmund in 1988 and 1991 respectively. In his industrial and academic carrier Thorsten published more than 150 papers and articles, holds more than 15 patents and has led large scale collaborative research projects of several 10 Mio. € volume, funded by the German National Science Foundation, Ministry of Research and Education and the European Commission under FP7 and H2020. He served as the Dean for Mathematics and Computer Science 2006-2008 and as the University's Vice President Research and Techology Transfer 2014-2017 and as the Director of Research and Operations of the Intel Visual Computing Institute 2009-2017. Thorsten’s research is focused on Cyber-Physical Networking, Latency and Resilience-Aware Streaming, Computational Videography and High Mobility in Multicarrier-Systems

Prof. Yiguang Liu, Sichuan University, China


Biography: Yiguang Liu received the M.S. degree from Peking University, in 1998, and the Ph.D. degree from Sichuan University, in 2004. He was a Research Fellow, a Visiting Professor, and a Senior Research Scholar with the National University of Singapore, Imperial College London, and Michigan State University, respectively. He was chosen into the Program for new century excellent talents of MOE in 2008, and chosen as a Scientific and Technical Leader in Sichuan, in 2010. He is currently the Director of the Vision and Image Processing Laboratory, a Professor with the School of Computer Science, Sichuan University, a Reviewer for the Mathematical Reviews of American mathematical Society, and an IEEE Senior Member. He has co-authored over 100 international journal and conference papers, and a chapter of the book Computational Intelligence and Its Applications (ed H. K. Lam). He has the research interests of computer vision and image processing, pattern recognition, and computational intelligence.


Speech Title: Computational Imaging and Multidimensional Processing Lab, College of Computer Science, Sichuan University