Keynote Speakers

 

 

Prof. Hui Xiong, Fellow of AAAS and IEEE

The Hong Kong University of Science and Technology (Guangzhou), China

Dr. Hui Xiong received his Ph.D. in Computer Science from the University of Minnesota - Twin Cities, USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC), Hefei, China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. For his outstanding contributions to data mining and mobile computing, he was elected an ACM Distinguished Scientist in 2014, an IEEE Fellow and an AAAS Fellow in 2020.

Dr. Xiong's general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive applications. His research has been supported in part by the National Science Foundation (NSF), IBM Research, SAP Corporation, Panasonic USA Inc., Awarepoint Corp., Citrix Systems Inc., and Rutgers University. He has published prolifically in refereed journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering, the VLDB Journal, INFORMS Journal on Computing, Machine Learning, IEEE Transactions on Mobile Computing (TMC) , and ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). His book, titled "Encyclopedia of GIS", has been recognized as the Top 10 Most Popular Computer Science Book authored by Chinese Scholars at Springer.

Dr. Xiong currently serves as a co-Editor-in-Chief of Encyclopedia of GIS (Springer) and an Associate Editor of IEEE Transactions on Data and Knowledge Engineering (TKDE), IEEE Transactions on Big Data (TBD), ACM Transactions on Knowledge Discovery from Data (TKDD) and ACM Transactions on Management Information Systems (TMIS). He has served regularly on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM), a General Co-Chair for the IEEE 2015 International Conference on Data Mining (ICDM), and a Program Co-Chair of the Research Track for the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2018) .

Dr. Xiong has been interviewed and quoted by local, national and international media, such as Forbes, Xinhua News Agency, and the Wall Street Journal. Also, the Economist has featured his research work for crime prevention in 2016 (Economist Article Title: Cutpurse capers). Moreover, his pioneer work on talent analytics has been featured by the Harvard Business Review.

 

Prof. Qijun Zhao,

Sichuan University, China

From 1999 to 2006, he obtained a bachelor's degree and a master's degree in the Department of Computer Science of Shanghai Jiao Tong University, from 2006 to 2010, he obtained a Ph. University, served as associate professor and professor. Since August 2019, he has served as the deputy dean and academic leader of the College of Information Science and Technology, Tibet University. Dr. Zhao has been engaged in the research of biometric identification and computer vision for a long time. His recent research interests mainly include 3D modeling and recognition and its application in criminal science, video surveillance, healthcare, human-computer interaction, etc., object detection and recognition and Its application in ecological survey, animal protection, group analysis, etc. Dr. Zhao has published more than 80 papers in academic conferences and journals, including CVPR, ECCV, AAAI, ICB, PR, IEEE TPAMI, IEEE TIFS, etc. He has published 2 computer vision-related monographs and translations, and has been authorized a US patent, Five Chinese patents. Dr. Zhao's scientific research projects include the Natural Science Foundation of China Youth and General Projects, sub-projects of the 13th Five-Year Key R&D Plan Project, provincial and ministerial-level projects, and a number of enterprise cooperation projects. Dr. Zhao has been a reviewer for well-known journals and conferences in the field for a long time, such as IEEE TPAMI, IEEE TIFS, PR, PRL, ICCV, CVPR, ECCV, AAAI, ICIP and ICPR, etc. Dr. Zhao served as the chairman of the Program Committee of the 11th China Biometric Recognition Conference (CCBR2016) and the 2018 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA2018), and the 9th IEEE Biometric Recognition Theory, Application and System International Conference ( Chairman of the face recognition field of BTAS2018). Dr. Zhao was awarded the second prize of Shanghai Science and Technology Award.

 

Prof. Xiaohui Zou
Distinguished Researcher, Interdisciplinary Knowledge Modeling Research Group at Peking University, China

According to my own practice and theory of Smart System Studied (Chinese means: Rongzhixue or Integrative Intelligence) , I found that natural language understanding, expert knowledge expression and software pattern recognition are the super difficult problems of artificial intelligence from three aspects, namely: how to eliminate each kind of ambiguities. Focus on intelligent technical services for humancomputer interaction, collaboration and complex systems, use the theory of integration to guide the construction of smart urban and rural areas, use the theory of integration to resolve financial risks, and focus on the cultivation of professional talents in integration. Main tasks: potential development, enterprise diagnosis, decisionmaking consultation and backbone training.

 

Prof. Kehua Guo,

Central South University, China

Dr. Kehua Guo is a Professor at the School of Computer Science and Engineering at Central South University. He was selected as The National Youth Talent Support Program, Hunan Furong scholar and got the Hunan Outstanding Youth Fund. Dr. Guo received his Ph.D. in Computer Application Technology from Nanjing University of Science and Technology in 2008. He has been selected as the Chairman of computer education special committee of Hunan Higher Education Society and Secretary General of Hunan Computer Education Instruction Committee.
He has long been engaged in research on artificial intelligence, big data, intelligent computing, etc. He has published more than 100 research papers in international journals or conferences. He owns 16 patents for the invention of the country. Some of his research findings have been successfully applied in industry. He is a member of the procedure Committee of many international conferences and serves as guest editors in many well-known SCI journals.

 

 

Prof. Yao Liang,
Indiana University Purdue University Indianapolis, USA

Yao Liang received his B.S. degree in Computer Engineering and M.S. degree in Computer Science from Xi’an Jiaotong University, Xi’an, China. He received his Ph.D. degree in Computer Science from Clemson University, Clemson, USA, in 1997.
He is currently a Professor in the Department of Computer and Information Science, Indiana University Purdue University Indianapolis (IUPUI), USA. His research interests include wireless sensor networks, Internet of Things, cyberinfrastructure, machine learning, neural networks, open data and
model integration, data engineering, and distributed systems. His research projects have been funded by NSF. He has received the 2019 Glenn W. Irwin, Jr., M.D., Research Scholar Award, IUPUI. He also had extensive industrial R&D experiences as a Technical Staff Member in Alcatel USA. He has served regularly on Program Committees for various major international conferences. He was a General Co-Chair of The International Conference on Big Data Engineering (BDE) in 2022, 2021, 2020, and 2019. Dr. Liang has given invited talks and lectures at various universities and conferences in US, Europe and China.

 

 

 

Invited Speakers

Prof. Haiyan Li,
Yunnan University, China

Haiyan Li, Ph.D., professor, doctoral supervisor, who was selected as the "Yunling Famous Teaching Teachers" (0.021% of Yunnan Province) of the Ten Thousand Talents Program of Yunnan Province, and was selected as the "Young and middle-aged backbone teacher training program" of Yunnan University. She received a master's degree from the Leuven Institute of Technology in Belgium and was a visiting scholar from the University of Tennessee in the United States. She mainly engaged in research in artificial intelligence, pattern recognition and image processing. She has presided over and participated in nearly 20 scientific research projects, including 2 projects sponsored by the National Natural Science Foundation of China. She has published more than 80 academic papers, including more than 50 SCI EI indexed papers, She published 4 textbooks and monographs, and won a second prize of the Natural scientific progress Award of Yunnan Province.

 

Prof. Lei Meng,
Shandong University, China

Dr. Lei Meng is currently Professor with the School of Software, Shandong University. He received the B.E. Degree from Shandong University in 2010 and PhD Degree from the School of Computer Science and Engineering at Nanyang Technological University (NTU) in 2015 under the supervision of Professor Ah-Hwee Tan. From 2015-2020, he successively worked as Research Fellow at the Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly (LILY), collaborated with Prof. Chunyan Miao and Prof. Cyril Leung, and as a Senior Research Fellow at the NUS-Tsinghua-Southampton Centre for Extreme Search (NExT++) Center, collaborated with Prof. Tat-Seng Chua. He has been selected as the Young Expert of Shandong Taishan Scholars, the Outstanding Youth Science Foundation of Shandong Province (Overseas), the Qilu Young Scholars of Shandong University (the first level) and other talent programs, and won the honorary titles of Chinese Academy of Engineering Frontier Outstanding Young Scholars, ACM Jinan Branch Academic New Star, and Shandong Outstanding Youth of Artificial Intelligence. He has published a Springer monograph, more than fifty papers in TKDE, MM, AAAI and other top journal conferences in the field of artificial intelligence, and has applied for and obtained seven international and national invention patents.
He established the Multimedia Mining, Reasoning and Generation (MMRC) Lab, focusing on the breakthroughs and industrialization of key technologies in the areas of smart home and society governance. It has been selected into the "20 New Universities" innovation team of Jinan. He presided five national and provincial projects, such as the national key R&D project and the National Natural Science Foundation Youth Fund. He is also an Associate Editor of Applied Soft Computing, a regional journal of Chinese Academy of Sciences, executive member of Multi-media Committee of China Computer Society, and chair of CCF YOCSEF Jinan.

 

Assoc. Prof. Ke Huang,

San Diego State University, USA

Ke Huang received the B.S., M.S. and Ph.D. degrees in Electrical Engineering from the Université Grenoble Alpes, Grenoble, France, in 2006, 2008, and 2011 respectively. He was a Postdoctoral Research Associate at the University of Texas at Dallas, Richardson, TX, USA, from 2012 to 2014. He joined the Department of Electrical and Computer Engineering at San Diego State University, San Diego, CA, USA in 2014 as an Assistant Professor, and was promoted to Associate Professor in 2020. His research focuses on machine learning applications for very-large-scale integration (VLSI) testing and security, computer-aided design of integrated circuits (ICs), and intelligent vehicles. He has published over 30 top-tier journals and conference papers, and served as a Program Committee Member in various IEEE conferences, and as a Guest Editor of Springer Journal of Electronic Testing Theory and Applications (JETTA). He was a recipient of the Best Paper Award from the 2015 IEEE VLSI Test Symposium (VTS'15), and a recipient of the Best Paper Award from the 2013 Design Automation and Test in Europe (DATE'13) conference.

 

Assoc. Prof. Jinhua Cui,

Huazhong University of Science and Technology, China

Jinhua Cui, Associate Professor, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. She received the Ph.D. degree in computer science from Xi’an Jiaotong University, Shaanxi, China, in 2018, and the B.S. degree from Southwest University, Chongqing, China, in 2012. She was also a visiting scholar in the Computer Science Department at University of Pittsburgh, Pittsburgh, PA, USA. She is currently an Associate Professor in the School of Computer Science and Technology at Huazhong University of Science and Technology, Wuhan, China. Her current research interests include NAND flash memory based storage system, approximate storage, big data, and cloud computing.

 

Assoc. Prof. Chuan Luo,

Sichuan University, China

Chuan Luo is currently an Associate Professor with the College of Computer Science, Sichuan University, Chengdu, China. He received the Ph.D. degree in Computer Science from Southwest Jiaotong University, Chengdu, China, in 2015. He was a Visiting Ph.D. Student with the University of Regina, Regina, SK, Canada, in 2014. In Feb. 2019, he was a Visiting Scholar with the Harvard University, Cambridge, MA, USA. His current research interests include granular computing, cloud computing, and incremental learning. He won the Natural Science Prize (2nd Grade), awarded by the Ministry of Education of China (2021). He is the recipient of two Best Paper Awards at the 12th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS’16), and the 2012 Joint Rough Set Symposium (JRS’12), a Workshop Best Paper Award at the 2019 IEEE Cyber Science and Technology Congress (CyberSciTech’19), and two Best student Paper Awards at the 2015 International Joint Conference on Rough Sets (IJCRS’15) , and the Joint Conference of 13th China Conference on Rough Sets and Soft Computing (CRSSC’13).
He has published more than 60 research papers in international conferences and journals, such as the IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, Information Sciences, Information Fusion, Pattern Recognition, Knowledge-Based Systems, Expert Systems with Applications, Neurocomputing, International Journal of Approximate Reasoning, etc. He serves as an Editor of Human-Centric Intelligent Systems, Member of Special Committee of CAAI Granular Computing and Knowledge Discovery. He has served as Program Co-Chair of ICAIP 2021-2022、BDML2020-2021, FCST 2016, Session Chair of PAKDD 2022, IEEE DSInS 2021, IEEE CyberSciTech 2019-22021, CRSSC 2014, Web Chair of CCF BigData 2022, etc.

 

Assoc. Prof. Jinpeng Chen,
Beijing University of Posts and Telecommunications, China

Jinpeng Chen is now an associate professor and the doctoral supervisor of Beijing University of Posts and Telecommunications. His research interests include social network analysis, recommendation system, data mining methodologies, machine learning algorithm and information retrieval technique. He has published more than 40 SCI/EI index papers. In addition, he participates in a series of key research projects supported by the National Natural Science Foundation and National Key R&D Program of China.