All Stories

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

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

    Yijun Tian

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

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

    Yijun Tian, Nitesh Chawla

  3. Graph Cross Supervised Learning via Generalized Knowledge

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

    Yijun Tian, Nitesh Chawla

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

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

    Zheyuan Liu, Yijun Tian

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

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

    Nitesh Chawla, Zheyuan Liu, Yijun Tian

  6. Structural Podcast Content Modeling with Generalizability

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

    Yijun Tian

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

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

    Zheyuan Liu, Yijun Tian

  8. Recipe Representation Learning with Networks

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

    Nitesh Chawla, Yijun Tian