I am currently a Ph.D. student in the Department of System Engineering at Stevens Institute of Technology, under the supervision of Assistant Professor Feng Liu. Prior to that, I received my master’s degree from the School of Computer Science and Technology at East China Normal University, where I was supervised by Associate Professor Lei Chen. I completed my undergraduate studies at the School of Software and the School of Economics and Management (minor) at Tianjin Polytechnic University. Additionally, I interned for one year with the GMAI team at Shanghai Artificial Intelligence Laboratory. My leader is Junjun He, and my mentor is Jin Ye.

🎓 Educations

• 2025.09 - present, Stevens Institute of Technology, New Jersey, United States of America.
• 2022.09 - 2025.06, East China Normal University, Shanghai, China.
• 2018.09 - 2022.06, Tianjin Polytechnic University, Tianjin, China.

📝 Publications

MICCAI 2024

• Wang G*, Ye J*, Cheng J, et al. SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation[J]. arXiv preprint arXiv:2407.04938, 2024. Accepted by MICCAI2024. [PDF]

NeurIPS 2024

• Chen P*, Ye J*, Wang G*, et al. GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI[J]. arXiv preprint arXiv:2408.03361, 2024. Accepted by NeurIPS2024. [PDF] [Homepage]

CVPR 2025

• Chen Y*, Wang G*, Ji Y*, et al. SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding[J]. arXiv preprint arXiv:2410.11761, 2024. Accepted by CVPR2025.[PDF][Homepage]

Biomedical Signal Processing and Control

• Zou S*, Wang G*, Zhang Y*, et al. Adaptive feature decoupled network for polyp segmentation. Accepted by Biomedical Signal Processing and Control.[PDF]

CVPR 2025

• Cheng, J., Fu, B., Ye, J., Wang, G., Li, T., Wang, H., … & He, J. (2024). Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline. arXiv preprint arXiv:2411.12814. Accepted by CVPR2025.[PDF][Homepage]

MICCAI 2025

• Li, W., Hu, M., Wang, G., Liu, L., Zhou, K., … & He, J. (2024). Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. Accepted by MICCAI2025.[PDF]

MIA

• Wei Li, Jingyang Zhang, Lihao Liu, Guoan Wang, Junjun He, Yang Chen, Lixu Gu. F^2TTA: Free-Form Test-Time Adaptation on Cross-Domain Medical Image Classification via Image-Level Disentangled Prompt Tuning. Submitted to Medical Image Analysis.[PDF]

XXXX 2025

• Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, et al. GMAI-VL & GMAI-VL-15M: Towards General Medical AI with a Large Vision-Language Model and a Comprehensive Multimodal Dataset. Submitted to XXXX2025.[PDF]

PRCV 2023

• Chen, J., Cheng, J., Jiang, L., Yin, P., Wang, G., & Zhu, M. (2023, October). PRFNet: Progressive Region Focusing Network for Polyp Segmentation. In Chinese Conference on Pattern Recognition and Computer Vision (PRCV) (pp. 394-406). Singapore: Springer Nature Singapore. Accepted by PRCV2023. [PDF]]

ICME 2023

• Huai, T., Yang, S., Zhang, J., Wang, G., Yu, X., Ma, T., & He, L. (2023, July). SQT: Debiased Visual Question Answering via Shuffling Question Types. In 2023 IEEE International Conference on Multimedia and Expo (ICME) (pp. 600-605). IEEE. Accepted by ICME2023. [PDF]]

🏅 Honors and Awards

• Chinese National scholarship
• Tianjin Municipal People’s Government Scholarship
• President’s first scholarship
• H Award in the American Collegiate Mathematical Contest in Modeling
• Blue Bridge Cup C/C++ Group National Competition third prize
• Second prize of Asia-Pacific University Students Mathematical Contest in Modeling

💻 Internships

• 2025.02 - 2025.06, INTSIG Information Co. Ltd.
• 2024.09 - 2024.11, Shanghai Artificial Intelligence Laboratory.
• 2024.07 - 2024.08, Nomura Information Technology Shanghai Co., Ltd (NTSH)
• 2023.12 - 2024.06, Shanghai Artificial Intelligence Laboratory.
• 2023.09 - 2023.11, Ubiquant Investment (Beijing) Corp.
• 2023.02 - 2023.06, iLambda Corp.