Talks

Keynote Talks

• Temporal Graph Learning: Theoretical Insights and Simple Models
  • 4th International Workshop on Databases and Machine Learning (DBML'25, May 2025)
• Algorithmic Foundation of Fair Graph Mining
  • Workshop on GNNs for the Sciences: from Theory to Practice, University of Chicago (Jan. 2024)
  • 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD'22, Aug. 2022)

Invited Talks

• On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method
  • Temporal Graph Learning Reading Group, Mila (Jun. 2024, Host: Shenyang Huang)
• Degree Fairness in Graph Neural Networks and Its Industrial Importance
  • Goergen Institute of Data Science Snack Series, UR (Apr. 2024, Host: Sayli Shivalkar)
• Algorithmic Foundation of Fair Graph Mining
  • Computer Science Seminar, UR (Sep. 2023, Host: Dr. Michael L. Scott)
  • Roblox (Apr. 2023, Host: Dr. Michelle Gong)
  • Machine Learning Seminar, UIUC (Mar. 2023, Host: Dr. Haoxiang Wang)
  • UCLA Data Mining Lab, UCLA (Dec. 2022, Host: Dr. Song Jiang)
  • The Sanghani Center for AI and Analytics Data Seminar Series, VT (Nov. 2022, Host: Dr. Dawei Zhou)
  • The DEFirst Reading Group, Mila (Nov. 2022, Host: Rebecca Salganik)
  • The Emory Graph Mining lab, Emory (Nov. 2022, Host: Dr. Carl Yang)
• Fair Graph Mining
  • Alibaba (Nov. 2021, Host: Dr. Liangyue Li)

Guest Lectures

• Fair Graph Mining
  • IS527, University of Illinois Urbana-Champaign (Apr. 2024, Instructor: Dr. Jiaqi Ma)
  • CS4352/5352, Vanderbilt University (Nov. 2023, Instructor: Dr. Tyler Derr)
  • CSC 245/445, University of Rochester (Nov. 2023, Instructor: Dr. Chenliang Xu)
  • CS 5824, Virginia Tech (Apr. 2022, Instructor: Dr. Dawei Zhou)
• Introduction to Graph Mining
  • CSC 440, University of Rochester (Nov. 2023, Instructor: Dr. Jiebo Luo)
• Algorithmic Fairness in Machine Learning
  • DS 402, Penn State (Apr. 2021, instructor: Dr. Fenglong Ma)

Conference Tutorials

• CIKM 2024: Data Quality-aware Graph Machine Learning
• SDM 2024: Data Quality-aware Graph Machine Learning

• SDM 2023: Algorithmic Fairness on Graphs: State-of-the-Art and Open Challenges [Website] [Slides]

• KDD 2022: Algorithmic Fairness on Graphs: Methods and Trends [Website] [Slides]

• CIKM 2021: Fair Graph Mining [Website] [Slides] [Recording]