Prof. Xin Luo

IEEE Fellow, AAIA Fellow

Dean of the College of Computer and Information Science and the College of Software, Southwest University, China

罗辛，工学博士、“香江学者”博士后，西南大学二级教授、计算机与信息科学学院 软件学院院长，IEEE/AAIA Fellow，国家高层次领军人才。研究聚焦人工智能与数据科学领域，在IEEE T-PAMI、T-KDE、T-NNLS等国际期刊和WWW、ICDM等国际会议上发表学术论文400余篇（含IEEE Transactions/Journal论文163篇），谷歌学术统计引用超过16,000次，H指数为78。先后主持含国家重点研发计划项目在内的国家级项目8项、省部级项目20余项，累积负责科研经费超过8000万元；获省部级科学技术一等奖三次。自2022年起连续入选斯坦福与爱思唯尔全球前2%顶尖科学家“终身科学影响力”榜单和爱思唯尔“中国高被引学者”榜单。

报告题目：高阶非标张量表示学习方法研究

报告摘要：高维不完备张量是大数据与人工智能应用中的典型数据结构。对其进行精准、高效表示学习，是开展后续知识发现和模式识别的重要前提。在本项研究中，我们运用张量CP分解原理，聚焦研究三阶非标张量表示学习方法，提出了系列表示学习模型，初步实现了对三阶非标张量的高效准确表示学习。相关文章发表在IEEE T-PAMI、T-KDE、T-CYB等期刊上。

Prof. Bo Ai

IEEE Fellow, AAIA Fellow, IET Fellow

Dean of School of Electronic and Information Engineering, Beijing Jiaotong University, China

艾渤于1993年8月至1997年7月就读于中国人民武装警察部队工程学院无线通信专业，毕业获得学士学位；1999年8月至2004年6月就读于西安电子科技大学，学习通信与信息系统专业；2005年4月至2007年4月在清华大学电子工程系信息与通信工程博士后流动站从事博士后研究工作；2007年9月至2008年12月任北京交通大学电子信息工程学院讲师；2009年1月至2009年12月任北京交通大学轨道交通控制与安全国家重点实验室副教授、硕士生导师；2010年1月至2010年12月任北京交通大学轨道交通控制与安全国家重点实验室副教授、博士生导师；2011年1月成为北京交通大学轨道交通控制与安全国家重点实验室教授、博士生导师，国家重点实验室副主任；2012年获国家优秀青年科学基金资助；2015年3月至2015年9月在美国斯坦福大学电子工程系作为高级研究学者访学；2016年入选国家科技部中青年科技创新领军人才；2017年获国家杰出青年科学基金资助，同年入选国家中组部万 人计划领军人才；2020年至2022年连续入选全球前2%高被引科学家；2022年担任国家自然科学基金委创新群体带头人。

Prof. Jie Li

Foreign Member of the Engineering Academy of Japan, IEEE Fellow

Shanghai Jiaotong University, China

Li Jie, an Academician of the International Academy of Engineering and a Fellow of the Engineering Academy of Japan, serves as a Chair Professor in the Department of Computer Science and Engineering at the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, and as a Distinguished Professor at Zhengzhou University. He is also a doctoral supervisor. Currently, he holds the position of Co-Chair of the IEEE Big Data Technical Committee, Founder and Chair of the IEEE Communications Society Big Data Committee, and is a member of the IEEE Big Data Standards Committee, among other roles.

Professor Li Jie is primarily engaged in pioneering research and applications in the fields of big data, artificial intelligence (AI), cloud computing, smart cities, the Internet of Things (IoT), cybersecurity, and information system evaluation. He serves on the editorial boards of seven SCI-indexed journals, including IEEE Transactions on Cloud Computing, IEEE Transactions on Big Data, IEEE Transactions on Vehicular Technology, and the IEEE IoT Journal. He has published over 300 papers in international academic journals and conferences, such as IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems. Additionally, he has authored one academic monograph in English and one in Japanese, and has edited five English academic monographs. In 2017, he was awarded the Best Paper Award by the IEEE Systems Journal.

Prof. Xiaoli Li

IEEE Fellow

Nanyang Technological University, Singapore

Xiaoli is currently a department head (Machine Intellection department, consisting of 100+ AI and data scientists, which is the largest AI and data science group in Singapore) and a principal scientist at the Institute for Infocomm Research, A*STAR, Singapore. He also holds adjunct professor position at Nanyang Technological University (He was holding adjunct position at National University of Singapore for 6 years). He is an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). Xiaoli is also serving as KPMG-I2R joint lab co-director. He has been a member of Information Technology Standards Committee (ITSC) from ESG Singapore and Infocomm Media Development Authority (IMDA) since 2020. Moreover, he serves as a health innovation expert panel member for the Ministry of Health (MOH), expert panel member for Ministry of Education (MOE), as well as an AI advisor for the Smart Nation and Digital Government Office (SNDGO), Prime Minister s Office, highlighting his extensive involvement in key Government and industry initiatives.

Prof. Shugong Xu

IEEE Fellow

Associate Vice President for Research and Impact at Xi’an Jiaotong-Liverpool University, China

Professor Shugong Xu is the Associate Vice President for Research and Impact at Xi’an Jiaotong-Liverpool University and an academic staff in the Department of Intelligent Science at XJTLU’s School of Advanced Technology. He is an expert in artificial intelligence, pattern recognition, and wireless communication systems. He is recognised as a Leadership Talent in Technological Innovation under China’s National High-Level Talents Special Support Plan and is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE Fellow).

Professor Xu pursued his undergraduate studies at Wuhan University from 1986 to 1990. He then obtained his master’s degree in Pattern Recognition and Intelligent Control and his PhD in Communication and Information Systems at Huazhong University of Science and Technology between 1990 and 1996. From 1996 to 1998, he conducted postdoctoral research at the State Key Laboratory of Microwave and Digital Communication at Tsinghua University. He then engaged in research at Michigan State University and the City College of New York from 1998 to 2001.

From 2001 to 2008, he worked as a Senior Research Scientist at Sharp Laboratories of America. In 2008, he joined Huawei Technologies, serving in roles within the Wireless Research Department and the 2012 Labs. In 2013, he became the Director of the Mobile Network and Computing Convergence Research Lab at Intel Labs. At the end of 2016, Professor Xu joined Shanghai University as a Distinguished Professor in the School of Communication and served as the founding director of the Shanghai Institute for Advanced Communication and Data Science until mid-2021.

Professor Xu has served as the Co-chair of the Technical Committee of the Green Communications Alliance, the Chief Scientist of a National 863 Key Project, and the leader of multiple significant international and domestic R&D initiatives. He received the IEEE Communications Society’s Significant Advances in Communications Paper Award in 2017. In 2023, he was honoured with the Shanghai Natural Science First Prize.

He currently holds several prominent roles, including Vice Chair of the Image and Video Communication Technical Committee of the China Society of Image and Graphics, Executive Member of the Pattern Recognition and Intelligent Control Technical Committee of the Chinese Association of Automation, Director of the Shanghai Communication Society, Chair of its Intelligent Networking and Connected Systems Committee, and member of the Shanghai 5G/6G Expert Committee.

Prof. Benjamin W. Wah

AAAS Fellow, ACM Fellow, IEEE Fellow

The Chinese University of Hong Kong, China

Benjamin W. Wah is a Research Professor at the Chinese University of Hong Kong and Franklin W. Woeltge Emeritus Professor of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign.  Previously, he served as the Provost and Wei Lun Professor of Computer Science and Engineering of the Chinese University of Hong Kong, the Director of the Advanced Digital Sciences Center in Singapore, as well as the Franklin W. Woeltge Endowed Professor of Electrical and Computer Engineering and Professor of the Coordinated Science Laboratory of the University of Illinois, Urbana-Champaign, USA.  Wah received his Ph.D. degree in computer science from the University of California, Berkeley, CA, in 1979.  He has received many awards for his research and service contributions, including the IEEE CS Technical Achievement Award (1998), the IEEE Millennium Medal (2000), the Society for Design and Process Science Raymond T. Yeh Lifetime Achievement Award (2003), the IEEE-CS W. Wallace-McDowell Award (2006), the Pan Wen-yuan Outstanding Research Award (2006), the IEEE-CS Richard E. Merwin Award (2007), the IEEE-CS Technical Committee on Distributed Processing Outstanding Achievement Award (2007), the IEEE-CS Tsutomu Kanai Award (2009), the Distinguished Alumni Award in Computer Science of the University of California, Berkeley (2011), and the Bronze Bauhinia Star of the Hong Kong Self Administrative Region (2021).  Wah's current research interests are nonlinear search and optimization, multimedia signal processing, and artificial intelligence.

Wah co-founded the IEEE Transactions on Knowledge and Data Engineering in 1988 and served as its Editor-in-Chief between 1993 and 1996.  Currently, he is the Editor-in-Chief of Computers and Education: Artificial Intelligence and the Honorary Editor-in-Chief of Knowledge and Information Systems.  He also serves on the editorial boards of Information Sciences, International Journal on Artificial Intelligence Tools, and World Wide Web. In addition, Wah served the IEEE Computer Society in various capacities, including Vice President for Publications (1998-1999) and President (2001). He is a Fellow of the AAAS and ACM, and a Life Fellow of the IEEE.

Title: The Era of Big Applications, Big AI, Big Data, Big Algorithms, And Big Systems: Where Do We Go From Here?

Abstract: This presentation examines issues facing the new era of multi-disciplinary applications, intelligent systems, complex algorithms, big data, and computer infrastructures. Traditional approaches focusing on a problem's individual aspect are inadequate for solving these challenging applications. A successful strategy must involve an integrated approach that examines trade-offs among competing objectives and resource constraints, utilizing sound domain knowledge. We propose methods for tackling these complex applications, drawing on the evolution of computer systems, artificial intelligence, big data, and complexity theory. Lastly, we offer a new paradigm for harnessing the complexity of designing intelligent systems in this new era.

Prof. Wei Wang

Vice Chair of ACM SIGSAC China

Dean of School of Software Engineering, Xi’an Jiaotong University, China

Dr. Wei Wang is a full Professor with Xi’an Jiaotong University, China. He is also an adjunct Professor with school of computer science and technology, Beijing Jiaotong University. He received the Ph.D. degree from Xi'an Jiaotong University, in 2006. He was a Post-Doctoral Researcher with the University of Trento, Italy, from 2005 to 2006. He was a Post-Doctoral Researcher with TELECOM Bretagne and with INRIA, France, from 2007 to 2008. He was also a European ERCIM Fellow with the Norwegian University of Science and Technology (NTNU), Norway, and with the Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg, from 2009 to 2011. He was a faculty member with Beijing Jiaotong University from 2011 to 2024. His recent research interests lie in data security and privacy-preserving computation. He has authored or co-authored over 100 peer-reviewed articles in various journals and international conferences, including IEEE TIFS, IEEE TSE, IEEE TKDE, USENIX Security, ACM CCS, AAAI, Ubicomp, IEEE INFOCOM. He received the ACM CCS 2023 Distinguished Paper Award. He is an Elsevier ``highly cited Chinese Researchers''. He is an Associate Editor for IEEE Transactions on Dependable and Secure Computing, and an Editorial Board Member of Computers & Security and of Frontiers of Computer Science. He is a vice chair of ACM SIGSAC China.