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.

📝 Selected Publications

See the full publication list at the bottom of the page or via Google Scholar.

arxiv preprint

Bora: Biomedical Generalist Video Generation Model

Weixiang Sun^†, Xiaocao You^†, Ruizhe zheng^†, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun.

Project Page

• World’s first video generation model specifically for the biomedical domain.

arxiv preprint

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.

🎖 Honors and Awards

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

📖 Educations

• 2021.09 - 2025.07, Department of Mathematics, College of Science, 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?] (https://arxiv.org/abs/2410.23426), 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.