Prof. De-Shuang Huang
IEEE Fellow, IAPR Fellow, AAIA Fellow
Eastern Institute of Technology, China / Tongji University, China
De-Shuang Huang is a Professor in Eastern Institute of Technology, China. He is currently the Fellow of the IEEE (IEEE Fellow), the Fellow of the International Association of Pattern Recognition (IAPR Fellow), the Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and associated editors of IEEE/ACM Transactions on Computational Biology & Bioinformatics and IEEE Transactions on Cognitive and Developmental Systems, etc. He founded the International Conference on Intelligent Computing (ICIC) in 2005. ICIC has since been successfully held annually with him serving as General or Steering Committee Chair. He also served as the 2015 International Joint Conference on Neural Networks (IJCNN2015) General Chair, July 12-17, 2015, Killarney, Ireland, the 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference (IEEE-CIBCBC) Program Committee Chair, May 21-24, 2014, Honolulu, USA. He has published over 510 papers in international journals, international conferences proceedings, and book chapters. Particularly, he has published over 260 SCI indexed papers. His Google Scholar citation number is over 22530 times and H index 79. His main research interest includes neural networks, pattern recognition and bioinformatics. His main research interest includes neural networks, pattern recognition and bioinformatics.
Title: Graph Representation Learning
Prof. Liang Hu
Tongji University, China
Dr Liang Hu is a professor with Tongi University and also the Chief Al Scientist with DeepBlue Academy of Sciences, China. His research interests include recommender systems, machine leaming, data science and general intelligence. He has published a number of papers in top rank interational conferences and journals, including WWW, IJCAI, AAAL, ICDM, TOIS, TKDE, TNNLS. He has been invited as the program commitee members of more than 30 top-rank Al interational conferences, including AAAI, IJCAI, ICDM, CIKM, and KDD. He also serves as the reviewer of more than ten top-rank interational journals, including ACM CSUR, IEEE TKDE, ACM TOIS, IEEE TPAMl, etc. In addition,he has presented more than ten tutorials on recommender systems and machine leaing at top-rank Al conferences including IJCAl, AAAl, SIGIR, WWW and ICDM.
Title: A Brief Analysis of The Challenges and Evolutions of Large Models
Prof. Carlo Vittorio Cannistraci
Dr. Cannistraci is a theoretical engineer and computational innovator. He is a Professor in the Tsinghua Laboratory of Brain and Intelligence (THBI) and an adjunct professor in the Department of Computer Science and in the Department of Biomedical Engineering at Tsinghua University. He directs the Center for Complex Network Intelligence (CCNI) in THBI, which seeks to create pioneering algorithms at the interface between information science, physics of complex systems, complex networks and machine intelligence, with a particular focus in brain/life-inspired computing for big data analysis. These computational methods are often applied to precision biomedicine, neuroscience, social and economic science.
Title: Epitopological sparse deep learning: a brain-inspired complex network theory for sparse compressed artificial neural networks
Prof. Qinmin Yang
Qinmin Yang received the Bachelor's degree in Electrical Engineering from Civil Aviation University of China, Tianjin, China in 2001, the Master of Science Degree in Control Science and Engineering from Institute of Automation, Chinese Academy of Sciences, Beijing, China in 2004, and the Ph.D. degree in Electrical Engineering from the University of Missouri-Rolla, MO USA, in 2007. From 2007 to 2008, he was a Post-doctoral Research Associate at University of Missouri-Rolla. From 2008 to 2009, he was a system engineer with Caterpillar Inc. From 2009 to 2010, he was a Post-doctoral Research Associate at University of Connecticut. Since 2010, he has been with the State Key Laboratory of Industrial Control Technology, the College of Control Science and Engineering, Zhejiang University, China, where he is currently a professor. He has also held visiting positions in University of Toronto and Lehigh University.
Title: Enhancing Wind Energy Harvesting by Data-driven Intelligence
Prof. Shiling Z
State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute, China
Zhang Shiling, senior engineer, doctor of engineering. He has been engaged in scientific research and production of high voltage and insulation technology and physical and chemical detection technology for a long time. The development of UHV dry-type converter transformer bushing and SF6 gas insulated through wall bushing has been applied to the construction of UHV AC and DC projects in China. Presided over and completed the GIS fault detection sensing technology and system, won the excellent innovation achievement award of the international innovation and entrepreneurship Expo, and was awarded the title of excellent scientific and technological worker by Chongqing Institute of electrical engineering.
As the first author, he has published more than 90 SCI/EI search papers in domestic and foreign journals and international academic conferences, 19 Chinese Core Journals of Peking University, won 9 provincial and ministerial awards such as the first prize of Chongqing scientific and technological progress and the special first prize of China Water Conservancy and power quality management Association, authorized 1 international invention patent, 20 national invention patents and utility models, 18 software copyrights, and more than 20 reports of international and domestic conferences, As the project leader, he presided over 2 provincial and ministerial projects at the basic frontier and 3 science and technology projects at the headquarters of State Grid Corporation of China.
Title: Establishment of 3D digital twin model of UHV converter transformer equipment based on large-scale grid processing and artificial intelligence optimization design of its accessory structure
Prof. Yiyuan Xie
Southwest University, China
Prof. Xie Yiyuan is a reviewer of papers in mainstream domestic and international journals in his field, including IEEE Journal of Lightwave Technolog. He is a member of the program committee of the 2014 International Workshop on Embedded Multi-core Systems and Applications (IWMSA), 2014 International Conference on smart Computing and other international conferences. He is also a member of the committee of the Ministry of Science and Technology and the National Natural Science Foundation of China. He has recently published a number of scientific papers in the IEEE Journal of Lightwave Technolog, IEEE Photonics Technology Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, He has published nearly 40 academic papers in international journals including IEEE Journal of Lightwave Technolog, IEEE Photonics Technology Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Photonic Journal and other international conferences such as DAC, of which more than 20 are first-author papers. He is also the chair of 7 projects including 863 sub-projects and the National Natural Science Foundation of China, and has been granted 1 national invention patent and 2 utility models.
Title: Laser dynamics and applications (激光动力学及应用)
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