Jinghan Jia

prof_pic.jpg

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.

news

Jan 15, 2023 :partying_face: One paper accepted by CVPR: Text-Visual Prompting for Efficient 2D Temporal Video Grounding.
Jan 15, 2023 :partying_face: One paper accepted by ICLR: TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization.
Dec 16, 2022 :partying_face: One paper accepted by SANER: CLAWSAT: Towards Both Robust and Accurate Code Models; Equally contributed by Jinghan Jia (MSU) and Shashank Srikant (MIT).
Nov 12, 2022 :partying_face: One paper accepted by SLOWDNN.
Sep 20, 2022 :partying_face: One paper accepted by TSRML.

selected publications

  1. CLAWSAT: Towards Both Robust and Accurate Code Models
    Jinghan Jia, Shashank Srikant, Tamara Mitrovska, and 4 more authors
    2022