Research

Research Interests

• Practical compuational methods and theory for causal discovery
• Applications of casual discovery and inference: recommender systems, root cause analysis, etc.
• Kernel methods and hypothesis testing

Recent Talks

• Invited talk on ‘Gradient based causal structure learning: methods and applications’ at several internal departments of Huawei, including Noah’s Ark Lab, 2020.
• Invited talk on ‘Causal discovery with reinforcement learning’ at Leiphone.com and Tianjin University (online), March, 2020.
• Invited talk on ‘Gradient based causal structure learning’ at International Workshop on Causal Modeling and Machine Learning (CaMal 2019), Guangzhou, December, 2019.
• Invited lectures on machine learning, including introduction, ensemble methods and feature engineering, at Huawei Wireless Department, Shanghai, March, 2019.