event agenda
Date: September 27 (Wednesday)
time |
theme |
14:30-14:35 |
opening introduction Kuang Kun is an associate professor at the School of Computer Science and Technology, Zhejiang University, and a member of the Qingyuan Association. |
| 14:35-15:15 | The “rules of the game” for graph self-supervised learning Wang Xiao, associate professor at Beihang University, member of Qingyuan Association |
15:20-16:00 |
Explore big graph model pre-training Yang Yang, associate professor at School of Computer Science, Zhejiang University, member of Qingyuan Association |
16:00-16:30 |
Interaction Kuang Kun is an associate professor at the School of Computer Science and Technology, Zhejiang University, and a member of the Qingyuan Association. Wang Xiao, associate professor at Beihang University, member of Qingyuan Association Yang Yang, associate professor at School of Computer Science, Zhejiang University, member of Qingyuan Association Chen Zhengyu Meituan technical expert Zhang Zhiqiang, Technical Director of Machine Intelligence Department of Ant Group |
Guest profile: Kuang Kun, associate professor and doctoral supervisor at the School of Computer Science and Technology, Zhejiang University. The main research directions include causal reasoning, data mining, and causal trustworthy machine learning. In the field of data mining and machine learning, he has published nearly 60 top conference and journal articles, including KDD, ICML, NeurIPS, MM, AAAI, TKDE, TKDD, Engineering, etc. Won the 2022 ACM SIGAI China Rising Star Award, the 2021 China Association for Science and Technology Youth Talent Promotion Project Support, the 2022 Higher Education Institutions Scientific Research Outstanding Achievements Award (Science and Technology) First Prize for Scientific and Technological Progress, and the 2021 China Science and Technology Progress Award The first prize of the Science and Technology Progress Award of the Electronic Society, and the 2020 Outstanding Doctoral Thesis Nomination Award of the Chinese Society of Artificial Intelligence.
Guest profile: Wang Xiao, associate professor at Beihang University, doctoral supervisor, winner of the National Youth Fund for Excellent Youth. His research directions include graph neural networks, data mining and machine learning. A total of more than 90 papers have been published, including more than 40 CCF Category A papers, 7 papers were selected into the list of most influential papers, and won (nominated) 3 times CCF Category A/B and other international conference paper awards, and 2 ESI highly cited papers. articles, and the results have been written into the industry's graph learning standard libraries PyG and DGL for many times. Published one textbook, three monographs, and one book chapter. Served as a member of the Senior Program Committee of WWW/AAAI/IJCAI. Won the first prize of the Natural Science Award of the Ministry of Education, the first prize of the Science and Technology Progress Award of the China Electronics Society, the Wu Wenjun Artificial Intelligence Outstanding Youth Award, the ACM China Rising Star Nomination Award, and was selected into the list of the world's Top 2% scientists published by Stanford University and the AMiner selection for two consecutive years. Honorable mention as the most influential scholar in AI2000. He is a member of the Qingyuan Association of Beijing Zhiyuan Research Institute, a senior member of CCF, and an executive member of the CCFAI Special Committee. Hosted several National Natural Science Foundation and CCF-Tencent Rhinoceros Research Funds.
Guest profile: Yang Yang is an associate professor, doctoral supervisor, and director of the Artificial Intelligence Department of the School of Computer Science at Zhejiang University. He graduated with a doctorate from Tsinghua University and studied under Professor Tang Jie and Professor Li Juanzi. His research directions include artificial intelligence problems on graph data, large-scale time series data modeling, computational sociology, etc. He has published more than 40 papers in top international academic journals and conferences such as KDD, WWW, AAAI, TKDE, etc., and won the AAAI 2023 Outstanding Award. Paper Award, serves as Associate Editor of the internationally authoritative journal IEEE TBD, Chairman of the Program Committee of the 2020 National Social Media Processing Conference, and member of the Program Committee of multiple international academic conferences.
Guest profile: Chen Zhengyu, Meituan technical expert, PhD in computer science from Zhejiang University. His research areas focus on large models and graph neural networks, with a particular interest in responsible generative large models. He has published more than ten papers at top international conferences such as ICML, NeurIPS, ICLR, KDD, and CVPR. His many scientific research results and patented technologies have been widely used in practical scenarios.
Guest profile: Zhang Zhiqiang, technical director of the Machine Intelligence Department of Ant Group and head of graph learning and knowledge graph algorithms. His main research directions include graph learning, knowledge representation, machine learning, risk control, recommendation systems, etc. Lead the construction of the ant graph learning technology system, build the first industrial general graph learning system AGL, and promote the large-scale industrial application of graph learning technology. Relevant technical achievements have been published in more than 60 papers in international conference journals such as NeurIPS, VLDB, SIGKDD, TKDE, and WWW, and more than 40 invention patents have been authorized. He has served as PC member of international conferences such as NeurIPS, ICML, and SIGKDD. Won the first prize of the Wu Wenjun Artificial Intelligence Science and Technology Progress Award (2020) and the first prize of the Institute of Electronics Science and Technology Award - Science and Technology Progress Award (2022).
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