About Me

I am a third-year Ph.D. candidate in the Department of Computer Science and Technology, Tsinghua University, advised by Prof. Jun Zhu. Before that, I received my B.E. degree from the Department of Computer Science and Technology, Tsinghua University, and my secondary B.S. degree from the Department of Psychology, Tsinghua University, in June, 2022. I work closely with Prof. Hang Su and Prof. Yinpeng Dong.

My research mainly focuses on machine learning, deep learning and their applications in computer vision, etc. Recently, I am interested in the robustness, safety and trustworthiness of deep learning models, especially general-purpose large models. I look forward to collaborating with leading research groups in trustworthy AI and related fields.

News

• 2024/09 – Our paper “MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models’’ has been accepted in NeurIPS2024. This is the first comprehensive benchmark on the trustworthiness of Multimodal LLMs, testing more than 20 modern MLLMs on 32 carefully curated tasks. Find out more at https://multi-trust.github.io!
• 2024/09 – Our paper “PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs’’ has been accepted in NeurIPS2024.
• 2024/03 – Our paper “Exploring the Transferability of Visual Prompting for Multimodal Large Language Models’’ has been accepted in CVPR2024 as Highlight (~top 2.8%).
• 2024/01 – Our paper “Rethinking Model Ensemble in Transfer-based Adversarial Attacks’’ has been accepted in ICLR2024.
• 2023/03 – Our paper “Understanding the Robustness of 3D Object Detectors with Bird’s-Eye-View Representations in Autonomous Driving’’ has been accepted in CVPR2023.
• 2023/03 – Our paper “To Make Yourself Invisible with Adversarial Semantic Contours’’(arxiv) has been accepted in Computer Vision and Image Understanding (CVIU).
• 2022/12 – Our team (Yinpeng Dong, Chang Liu, Wenzhao Xiang, Yichi Zhang, Haoxing Ye) won the 1st place in the Evaluating the Adversarial Robustness of Deep Learning Model track in 2022 International Algorithm Case Competition.
• 2022/06 – I received Beijing Outstanding Graduates (Only 4 students in the department of CS). <!– * I received Tsinghua Outstanding Graduates in June, 2022.
• I received Beijing Merit Student in September, 2021.
• Our team (Xiao Yang, Yichi Zhang, Shilong Liu) won the 2nd place (2/1599) in the CVPR 2021 Security AI Challenger Unrestricted Adversarial Attacks on ImageNet (June, 2021).
• Our team (Yichi Zhang, Zijiang Zhu, Wenzhao Xiang) won the 8th place (8/1814) in the CIKM 2020 Challenge Adversarial Challenge on Object Detection (September, 2020). –>