Yichi Zhang

Yichi Zhang

Third-year PhD candidate
Computer Science
Tsinghua University

Publications

You can also find my articles on my Google Scholar profile.

$\ast$ for equal contribution

2024

  • MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
    Yichi Zhang$^\ast$, Yao Huang$^\ast$, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
    The Datasets and Benchmarks track in the 38th Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024, 2024
    [pdf] [code] [data] [project]
  • PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
    Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang$^\ast$, Songming Liu, Lu Lu, Jun Zhu
    The Datasets and Benchmarks track in the 38th Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024, 2024
    [pdf] [code]
  • A comparison of statistical learning of naturalistic textures between DCNNs and the human visual hierarchy
    Xincheng Lu, Ziqi Yuan, Yichi Zhang$^\ast$, Hailin Ai, Siyuan Cheng, Yiran Ge, Fang Fang, Nihong Chen
    Science China Technological Sciences, Volume 67, 2024, 2024
    [pdf]
  • Exploring the Transferability of Visual Prompting for Multimodal Large Language Models (Highlight, ~2.8%)
    Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024
    [pdf] [code]
  • Rethinking Model Ensemble in Transfer-based Adversarial Attacks
    Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
    The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 2024
    [pdf] [code]

    • 2023

  • How Robust is Google’s Bard to Adversarial Image Attacks?
    Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu
    Workshop on robustness of zero/few-shot learning in foundation models (R0-FoMo) in the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023
    [pdf] [code]
  • Understanding the Robustness of 3D Object Detectors with Bird’s-Eye-View Representations in Autonomous Driving
    Zijian Zhu$^\ast$, Yichi Zhang$^\ast$, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, and Shibao Zheng
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
    [pdf] [video] [project]
  • To Make Yourself Invisible with Adversarial Semantic Contours
    Yichi Zhang$^\ast$, Zijian Zhu$^\ast$, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue
    Computer Vision and Image Understanding (CVIU), Volume 230, 2023
    [pdf] [code]

    • 2022

  • Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
    Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu
    Arxiv, 2022
    [pdf]