Speakers

Bio:

He has published about 50 peer-reviewed papers in top-tier conferences and journals, and most are published in IEEE TEVC, IEEE TCYB, IEEE TNNLS, CEC, and GECCO. Among the publications, four have been ranked as ESI TOP 1% Highly Cited Paper, three have been ranked as ESI TOP 0.1% Hot Paper, and two have been selected as Research Frontier papers from IEEE CIS Newsletter. Dr. Sun has made contributions to the research field of neural architecture search. In particular, the indicator “GPU Day” measuring the algorithm complexity of neural architecture search algorithm was firstly proposed by Dr. Sun. The term “performance predictor” which is a new research direction to accelerate neural architecture search was also firstly proposed by Dr. Sun. In addition, Dr. Sun has also led the construction of the BenchENAS platform that provides neural architecture search as a benchmarking platform. In addition, Dr. Sun has also been selected as “World’s Top 2% Scientists 2021”.

Bio:

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.

Bio:

Currently, he is the executive deputy director of the Joint Laboratory of Medical Imaging Technology, Suzhou Institute of Medical Engineering, Chinese Academy of Sciences and Johns Hopkins University, and the director of suzhou Key Laboratory of Molecular Imaging, mainly engaged in the research and development of medical imaging instruments. Up to now, he has presided over and undertaken 21 applied research and engineering research projects, completed 4 projects entrusted by enterprises, and undertaken 11 national and provincial research projects, including the major instrument Development Special project of the Ministry of Science and Technology, the Science and Technology Support Plan of the Ministry of Science and Technology, and the scientific research equipment development project of the Chinese Academy of Sciences. Academic journals published more than 40 papers, the influence factor of up to 7.37, with 15 patents and software copyright, President of several international medical imaging authoritative academic journals in the field of referees, the state Ministry of Science and Technology evaluation experts, a judge of the national natural science foundation, awarded "333 high-level personnel training project", "double" talent ", such as funding, And jiangsu province "Overseas Chinese star", the Chinese Academy of Sciences "Distinguished Researcher" and other honors.          

Minghao Yin, professor, dean, doctoral supervisor, College of Information Science and  Technology, Northeast Normal University.                

Bio:

His research direction is artificial intelligence, mainly focusing on the complexity analysis and algorithm design of difficult problems in artificial intelligence. He has hosted a number of research projects including the National Natural Science Foundation of China and the National Science and Technology Support Program. He has published more than 80 papers in top conferences and journals of this discipline, including Artificial Intelligence, IEEE Transactions, AAAI and IJCAI, and won 3 provincial second prizes. He has been selected as the New Century Excellent Talents of the Ministry of Education, The New Century Excellent Talents of Jilin Province, the Top Innovative Talents of Jilin Province, imitation of my talents and other special programs. In recent years, a series of important research achievements have been made in the field of basic theory of artificial intelligence. For example, the best #2SAT and #3SAT solving algorithms in the international theoretical field are designed, which is called an important progress in the duality direction of solving model counting problems based on the method of NC summarization by Professor Murray. In addition, by analyzing the structural characteristics of SAT problem, weighted clique problem, weighted vertex covering problem and other difficult problems, efficient solving algorithms are designed, for example, the exact algorithm of Kplex problem and the local search algorithm of maximum weighted clique problem are improved by 1-2 orders of magnitude in solving efficiency and scale.

Yamin Huang, PhD in Engineering, researcher, National Water Transport Safety Engineering  Research Center, Wuhan University of Technology. 

Bio:

He graduated from Delft University of Technology in the Netherlands in 2019. The next year was selected as chutian Scholars plan chutian students in Hubei Province. Mainly engaged in the intelligent research of water traffic system, including ship motion planning and control, human-computer interaction design, traffic situation modeling and water traffic safety management, etc. He has presided over and participated in 4 provincial and ministerial scientific research projects, such as National Natural Science Foundation of China and Key RESEARCH and Development Program of Zhejiang Province. In the past five years, he has published more than 30 academic papers, including 14 papers in Ocean Engineering, Safety Science, Risk Analysis, IEEE ITS, IEEE ITS Magazine and other journals. Assistant editor of Traffic Information and Safety, Youth Editorial Board member of Journal of Traffic and Transportation Engineering, echelon editorial Board member of Transportation Safety and Environment; Guest editor of Journal of Marine Science and Engineering; Ocean Engineering, Safety Science, Reliability Engineering and System Safety, Journal of Navigation, Reviewer of IEEE ITS and other journals. In 2021, it won the second prize of Science and Technology Progress award of China Navigation Society (2/10).

Chng Eng Siong, Assoc. Prof. Nanyang Technological University (NTU)              

Bio:

Dr Chng Eng Siong is currently an Associate Professor in the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. Prior to joining NTU in 2003, he has worked in several research centers/companies, namely: Knowles Electronics (USA), Lernout and Hauspie (Belgium), Institute of Infocomm Research (I2R, Singapore), and RIKEN (Japan) with focus in signal processing and speech research. He received both PhD and BEng (Hons) from Edinburgh University, U.K. in 1996 and 1991 respectively. His research current focus on: speech recognition using DNN frameworks, low resource, noisy conditions and adaptation to target domains (accent, use-cases). Additionally, he explores multilingual code-switch speech recognition such as: English/Mandarin, and English/Malay.