Jinghan Jia


Room 3210

428 S Shaw LN

East Lansing, MI, USA

I am Jinghan Jia, a scecond year Ph.D. student from OPTML Group at Michigan State University, supervised by Prof. Sijia Liu. My research focuses on the truthworthy and scalable ML algorithms. In general, my research spans the areas of machine learning (ML)/ deep learning (DL), optimization theory, computer vision, code understanding, natural language processing, and security. These research topics provide a solid background for my current and future research: Making AI system safe and scalable.

selected publications

  1. preprint
    To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images... For Now
    Yimeng Zhang*, Jinghan Jia*, Xin Chen, and 5 more authors
    arXiv preprint arXiv:2310.11868 2023
  2. NeurIPS’23
    Model sparsification can simplify machine unlearning
    Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, and 5 more authors
    arXiv preprint arXiv:2304.04934 2023
  3. SANER’23
    CLAWSAT: Towards Both Robust and Accurate Code Models
    Jinghan Jia*, Shashank Srikant*, Tamara Mitrovska, and 4 more authors