Invited Talks

• Causal Learning Beyond Overlap: Complex Treatments, Adaptive Experiments, and Reliable AI Decisions (8 papers of CAUSAL Lab)
  2026.06, Talk at AI Time (by students)
• From Subsampling to Causal Policy Learning
  2026.08, Talk at Statistical AI Workshop, 清华三亚国际数学论坛 (TSIMF)
  2026.07, Talk at 中国现场统计研究会因果推断分会第二届会员代表大会暨2026年学术年会会议
  2026.07, Talk at PCIC 泛太平洋因果大会
  2026.07, Talk at JCSDS 统计与数据科学联合会议
  2026.06, Talk at COLT 2026
  2026.06, Talk at ICSA China Conference
  2026.05, Talk at 北京邮电大学
• Optimal Transport in Partial Identification Under High Dimension
  2026.04, Talk at 中国现场统计研究会高维数据统计分会
• Topology-Informed Online Experimental Design under Network Interference
  2026.02, Talk at 香港科技大学
  2026.01, Talk at 南方科技大学
  2026.01, Talk at POMSHK 2026
  2025.11, Talk at Reading Group hosted by Professor Chengchun Shi
• Online Experiment Design under Interference Estimation-Regret Tradeoff
  2025.04, Talk at 第十届全国统计论坛
  2025.01, Talk at 上海交通大学 John Hopcroft Center
• Adjusting Auxiliary Variables Under Approximate Neighborhood Interference
  2025.06, Talk at 狗熊会
  2025.04, Talk at 清华大学
• A Systematic ML Framework for Causality
  2025.03, Talk at 国防科技大学
  2025.03, Talk at 山东大学
  2025.03, Talk at 上海财经大学
  2025.03, Talk at 西安交通大学
  2025.02, Talk at 国防科技大学
  2024.11, Talk at 第十三届全国概率统计会议
  2024.11, Talk at 北京大学 Causality Seminar
• Tight Partial Identification of Causal Effects
  2025.06, Talk at 狗熊会
  2025.01, Talk at 上海交通大学
  2024.12, Talk at 清华大学 Yao Class Graduate Forum
  2024.06, Talk at AI Time
• Conceptual Mathematics, Article VI
  2022.11, Talk at 清华大学 FODS Seminar