All Stories

  1. Towards Few-shot Chemical Reaction Outcome Prediction

    Article • November 2025, ACM (Association for Computing Machinery)

    Yijun Tian

  2. Class-Imbalanced Learning on Graphs: A Survey

    Article • ACM Computing Surveys, March 2025, ACM (Association for Computing Machinery)

    Nitesh Chawla, Yijun Tian

  3. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation

    Article • March 2025, ACM (Association for Computing Machinery)

    Yijun Tian, Nitesh Chawla

  4. Knowledge Distillation on Graphs: A Survey

    Article • ACM Computing Surveys, January 2025, ACM (Association for Computing Machinery)

    Yijun Tian, Nitesh Chawla

  5. FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition

    Article • October 2024, ACM (Association for Computing Machinery)

    Yijun Tian

  6. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation

    Article • October 2024, ACM (Association for Computing Machinery)

    Yijun Tian, Nitesh Chawla

  7. Graph Cross Supervised Learning via Generalized Knowledge

    Article • August 2024, ACM (Association for Computing Machinery)

    Yijun Tian, Nitesh Chawla

  8. Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning

    Article • May 2024, ACM (Association for Computing Machinery)

    Zheyuan Liu, Yijun Tian

  9. Can we Soft Prompt LLMs for Graph Learning Tasks?

    Article • May 2024, ACM (Association for Computing Machinery)

    Nitesh Chawla, Zheyuan Liu, Yijun Tian

  10. Structural Podcast Content Modeling with Generalizability

    Article • May 2024, ACM (Association for Computing Machinery)

    Yijun Tian

  11. Fair Graph Representation Learning via Diverse Mixture-of-Experts

    Article • April 2023, ACM (Association for Computing Machinery)

    Zheyuan Liu, Yijun Tian

  12. Recipe Representation Learning with Networks

    Article • October 2021, ACM (Association for Computing Machinery)

    Nitesh Chawla, Yijun Tian