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.S. 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.
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.
News
- Our paper “MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models’’ has been accepted in NeurIPS2024 Track on Datasets and Benchmarks. 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!
- Our paper “Exploring the Transferability of Visual Prompting for Multimodal Large Language Models’’ has been accepted in Computer Vision and Pattern Recognition (CVPR) 2024 as Highlight (~top 2.8%).
- Our paper “Rethinking Model Ensemble in Transfer-based Adversarial Attacks’’ has been accepted in International Conference on Learning Representations (ICLR) 2024.