Guangdong AiScholar Institute of Academic Exchange

HCIN Public Webinar

Theme: Causal Learning

Date and Time: Nov. 21, 2023, 7:00-8:30 p.m.(UCT+8, Beijing Time)

Online: Tencent Room ID: 115-785-940 Password: 859725

Organizer: Human-Centric Intelligent Systems (HCIN) Editorial Office

If you are interested in the course, please contact the HCIN Editorial Office at hcin@editorialoffice.cn to sign up for the Webinar.

Webinar Agenda:

Time （UCT+8，Beijing Time）	Contents
7:00-7:15 p.m.	Introduction of HCIN
7:15-7:45 p.m.	Topic 1：Causal inference in Complex Environments Speaker：Prof. Kuang Kun （Zhejiang University, Hangzhou, China）
7:50-8:20 p.m.	Topic 2：Causal Discovery and Causal Learning Speaker：Prof. Ruichu Cai （Guangdong University of Technology, Guangzhou, China）
8:25-8:30 p.m.	Q & A

Introduction of Invited Speakers：

Speaker : Prof. Kun Kuang

My research interests include causal inference, machine learning, and data mining. In particular, I am interested in promoting the convergence of causal inference and machine learning, including improving the effectiveness of causal inference with machine learning technologies, and bringing stability and interpretability of machine learning with causal inference technologies.

Personal Profile: https://kunkuang.github.io/

Speaker: Prof. Ruichu Cai

Research Interest:

Causal inference: causal discovery, causal learning, etc.

Deep learning: graph neural networks, reinforcement learning, model interpretability, etc.

Related applications: natural language processing, bioinformatics, etc

Personal Profile: https://yzw.gdut.edu.cn/info/1090/1319.htm