Hi, I am a final year undergraduate student majoring in Information and Computational Science in the College of Science at Northeastern University, and I am currently interning under the supervision of Prof. Lichao Sun in the LAIR(Lehigh AI Research) lab at Lehigh University. I also have in-depth cooperation with Prof. Xiang Li at Massachusetts General Hospital and Harvard Medical School. My research interests include Large models and their applications in biomedical scenarios. My long-term research goal is to make different large models a trusted, efficient and powerful tool in biomedical domain. I have published some papers with total .

I am seeking potential research collaborations and the position of industry research intern. If you are interested, please contact me.

🔥 News

• 2024.09:  🎉🎉 Our TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation is released!
• 2024.08:  🎉🎉 We release Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. We are still working on it!
• 2024.06:  🎉🎉 We release Bora, the world’s first video generation model specifically for the biomedical domain.
• 2024.06:  🎉🎉 Our Medical Unlearnable Example is accepted by ICML2024 NextGenAISafety!
• 2023.05:  🎉🎉 I join the LAIR Lab in Lehigh as an intern student. My advisor is Lichao Sun.
• 2022.06:  🎉🎉 I’m selected in Northeastern University-North Carolina State University Mathematics Undergraduate International Exchange Program udner the advise of Kazufumi Ito.

🎖 Honors and Awards

• 2023.07 Tuoxin Scholarship (Top 5%).
• 2023.07 Second Class Scholarship (Top 10%).
• 2022.07 Third Class Scholarship (Top 15%).

📖 Educations

• 2025.08 - Present, PhD in Computer Engineering, Univrsity of Notre Dame.
• 2021.09 - 2025.07, BS in Math, Northeastern University.

💻 Internships

• 2023.05 - Present, Lehigh University, US.

Full Publication List

• Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?, Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
• TTT-Unet: Enhancing U-Net with Test-Time Training Layers for biomedical image segmentation, Rong Zhou^†, Zhengqing Yuan^†, Zhiling Yan^†, Weixiang Sun^†, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun.
• AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models, Boming Miao, Chunxiao Li, Yao Zhu, Weixiang Sun, Zizhe Wang, Xiaoyi Wang, Chuanlong Xie.
• Biomedical sam 2: Segment anything in biomedical images and videos, Zhiling Yan^†, Weixiang Sun^†, Rong Zhou^†, Zhengqing Yuan^†, Kai Zhang, Yiwei Li, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun.
• Bora: Biomedical Generalist Video Generation Model, Weixiang Sun^†, Xiaocao You^†, Ruizhe zheng^†, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun.
• Mora: Enabling generalist video generation via a multi-agent framework, Zhengqing Yuan^†, Yixin Liu^†, Yihan Cao^†, Weixiang Sun^†, Haolong Jia, Ruoxi Chen, Zhaoxu Li, Bin Lin, Li Yuan, Lifang He, Chi Wang, Yanfang Ye, Lichao Sun
• Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking, Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun.
• Research and application of improved neural network optimization algorithm, Weixiang Sun.