Speakers

Guandong Xu           

University of Technology Sydney

Biography: Dr Guandong Xu is a Professor in the School of Computer Science and Data Science Institute at UTS and an award-winning researcher working in the fields of data mining, machine learning, social computing and other associated fields. Guandong is the Director of the UTS-Providence Smart Future Research Centre, which targets research and innovation in disruptive technology to drive sustainability. His research has attracted funding of more than $8 million from the ARC, government and industry. He also heads the Data Science and Machine Intelligence Lab, which is dedicated to research excellence and industry innovation across academia and industry, aligning with the UTS research priority areas in data science and artificial intelligence. Guandong has had more than 240 papers published in the fields of Data Science and Data Analytics, Recommender Systems, Text Mining, Predictive Analytics, User Behaviour Modelling, and Social Computing in international journals and conference proceedings in recent years, with increasing citations from academia. 

Cairong Zhao             

Tongji University

Biography: Cairong Zhao is currently a Professor of College of Electronic and Information Engineering at Tongji University. He received a Ph.D. degree from Nanjing University of Science and Technology, an M.S. degree from Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences and a B.S. degree from Jilin University, in 2011, 2006 and 2003, respectively. He works on visual and intelligent learning, including computer vision, pattern recognition and visual surveillance. He has published over 40 highly regarded papers in the field, including in well-known journals and conferences such as CVPR, ICCV, ICLR, AAAI, ACM MM, TIP, TIFS, TMM, TCSVT, and PR. He holds prestigious positions such as the deputy secretary-general of the Pattern Recognition and Machine Intelligence Committee of the Chinese Association of Automation, the chairman of the Computer Vision Special Committee of the Shanghai Computer Society, and an outstanding member of the China Computer Federation, and a senior member of the China Graphics Society. He is also highly respected as a reviewer for esteemed international journals like IEEE Trans. Pattern Recognition and Machine Intelligence, IEEE Trans. Image Processing, IEEE Trans. Neural Networks and Learning Systems, IEEE Trans. Cybernetics, Pattern Recognition, Information Science, Neurocomputing, Knowledge-based systems, and others.

Kehua Guo               

Central South University

Biography: He is the deputy Director of The Department of Development Planning and Discipline Construction of Central South University, the Top Young Talent of the National Ten Thousand Talents Program of Organization Department of the CPC Central Committee, The Lotus Scholar of Hunan Province, the winner of the Outstanding Youth Fund of Hunan Province, and the second prize of Hunan Provincial Technological Invention Award (ranked first). He has won the second prize of Technological Invention Award of Hunan Province (ranked no.1). He has presided over 3 national Natural Science Foundation of China, participated in 1 key RESEARCH and development program of Ministry of Science and Technology as the subject backbone, presided over 1 sub-project of national international science and technology cooperation project, 4 provincial and ministerial research projects, 10 local government and horizontal technical cooperation projects, etc. In recent years, as the first author or corresponding author, he has published 30 papers on internationally renowned journals or conferences, 29 of which were retrieved by SCI, including 13 papers in JCR1 area, 2 papers with an impact factor greater than 10, and the average impact factor of the top five papers was 11. He has applied for 13 patents and granted 7 patents as the first inventor. He is a member of the program committee of many international conferences and a guest editor of many well-known SCI journals. He has been engaged in the research of artificial intelligence, big data, intelligent computing and other fields for a long time. He is the evaluation expert of national Science and Technology Award, Ministry of Education Science and Technology Award, National Key RESEARCH and development Program and National Natural Science Foundation of China.   

Bin Jiang 

Hunan University

Biography: Degree from Tokyo Institute of Technology (Tokyo TECH), Japan. During 2002 and 2003, he worked at the KISTEM Co., Ltd (Key Information System, Gate-Group), Japan as trainee. His research interests include Artificial Intelligence, Big Data Technology, Machine Vision, Machine Learning, Natural Language Processing, Intelligent Computing, Recommender System, Social Computing and etc. He is a member of CCF, CAAI, IEEE, ACM and etc.   

Shoujin Wang 

University of Technology Sydney                                                      

Biography:Shoujin Wang is a Lecturer in Data Science at the Data Science Institute, University of Technology Sydney. He obtained his PhD in Data Science from the University of Technology Sydney in 2019. Shoujin's main research interests include Data Mining, Machine Learning, Recommender Systems and Fake News Mitigation. He has published more than 30 high-quality research papers in these areas, most of which were published at premier data science and AI conferences or journals, like The ACM Web Conference, AAAI, IJCAI and ACM Computing Surveys (CSUR). He has delivered four research tutorials on recommender systems at AAAI, IJCAI, SIGIR and ICDM.              

Shoujin has generally served as a (senior) PC member at over 10 premier international conferences including KDD, AAAI, IJCAI and a reviewer for more than 10 prestigious journals including Machine Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Information Systems (TOIS), etc. Shoujin has been invited to serve as a guest editor of three primer journals including IEEE Intelligent Systems and has organized two workshops at ICDM. Shoujin has some practical data science application experience by being involved into two industry projects. He is also one of the two recipients of the prestigious 2022 Club Melbourne Fellowships.

Yonghui Wu                 

Fudan University                

Biography: Dr. Yonghui Wu, associate professor at School of Computer Science, Fudan University, visiting scholar at Stony Brook University, and adjunct professor at Shanghai Normal University and Quanzhou University of Information Engineering, the chair of the ICPC Asia Training Committee. He won three medals in ACM ICPC World Finals for Fudan University. His book series “Collegiate Programming Contests and Education”has been published in simplified and traditional Chinese and English. Since 2013, he has been giving lectures in many countries.      

Pavel Loskot, IEEE Senior Member                 

Zhejiang University-University of Illinois at Urbana-Champaign Institute (ZJUI)

Biography: Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as the Associate Professor after being nearly 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. He is the Senior Member of the IEEE, Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interest focuses on problems involving statistical signal processing and importing methods from Telecommunication Engineering and Computer Science to other disciplines in order to improve the efficiency and the information power of system modeling and analysis.