I am a third-year Ph.D. candidate in the SmileLab at Northeastern University, advised by Prof. Yun Raymond Fu (Member of Academia Europaea and the European Academy of Sciences and Arts; Fellow of ACM, AAAI, AAAS, IEEE, and the National Academy of Inventors).
My research advances efficient and reliable foundation models, including Fine-Tuning, Multimodal Learning, Reasoning. I am particularly interested in bridging these areas to enable scalable adaptation of LLMs/VLMs,Agents and Embodied AI.
Prior to my Ph.D., I obtained my M.S. degree in Electrical and Computer Engineering from Northeastern University and my B.S. degree in Communication Engineering from Xidian University (XDU). I was also a visiting student at Southeast University.
Beyond academia, I have industry experience in applied AI research. I am a Applied Scientist Intern at Amazon’s Industrial Robotics Group (IRG) in this summer, working on long-horizon robot tasks with world model and reasoning. Previously, I was a Research Intern at Socure (Summer 2025), working on low-level vision. I also worked as an Applied Scientist Intern at AInnovationLabs (Dec 2022 – Dec 2024), focusing on healthcare AI, 3D human pose estimation, and pedestrian re-identification.
Open to exciting research collaborations and actively seeking internship opportunities for Fall 2026 or Spring/Summer 2027. Feel free to reach out! 🔥
News
| 05/2026 | Started research internship at Amazon IRG. |
| 01/2026 | Started as TA for EECE5639 Computer Vision, Spring 2026. |
| 12/2025 | Preprint: Rethinking Fine-Tuning: Unlocking Hidden Capabilities in VLMs. |
| 06/2025 | Started research internship at Socure. |
| 06/2025 | Preprint: Trajectory Prediction Meets Large Language Models: A Survey. |
| 05/2025 | Cautious Next Token Prediction accepted to ACL 2025. |
| 03/2025 | Preprint: Boosting LLMs with Mask Fine-Tuning. |
| 12/2024 | Passed Ph.D. qualifying exam and advanced to candidacy. |
| 12/2022 | Started Applied Scientist Intern at AInnovationLabs. |
| 09/2023 | Joined SMILELab at NEU as a Ph.D. student. |
| 09/2021 | Started M.S. at Northeastern University. |
Selected Publications
![]() | Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models Mingyuan Zhang, Yue Bai, Yifan Wang, Yiyang Huang, and Yun Fu Preprint, 2025 Paper |
![]() | Boosting Large Language Models with Mask Fine-Tuning Mingyuan Zhang*, Yue Bai*, Huan Wang, Yizhou Wang, Qihua Dong, Yitian Zhang, and Yun Fu Preprint, 2025 Paper Code |
![]() | Cautious Next Token Prediction Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi, and Yun Fu ACL 2025 Paper Code |
Experience
![]() | Amazon IRG Applied Scientist Intern, May. 2026 - Aug. 2026 Mentor: Dr. Kai Gao Manager: Dr. Jeroen van Baar Focus Areas: Long-horizon robot task, World Model with reasoning |
![]() | Socure Research Intern, Jun. 2025 - Aug. 2025 Mentor: Dr. Weiqiang Mu Manager: Dr. Feng Xiao Focus Areas: Low-Level Vision |
![]() | AInnovationLabs Applied Scientist Intern, Dec. 2022 - Dec. 2024 Mentor: Prof. Yun Raymond Fu Focus Areas: 3D Human Pose Estimation, Healthcare AI, Pedestrian Re-ID |
| | Neusoft Corporation Software Engineering Intern, Jul. 2020 - Aug. 2020 |
![]() | Southeast University, Nanjing, China Research Assistant, Jun. 2019 - Aug. 2019 Supervisor: Prof. Fengqi Si Focus Areas: Environmental Modeling, Multimodal Data Fusion |
![]() | SMILELab, Northeastern University, Boston, MA Graduate Student, Sep. 2023 - Present Supervisor: Prof. Yun Raymond Fu Focus Areas: Foundation Models, Model Efficiency, Multimodal Learning, Pruning, AI Agents, Generative AI |
![]() | Northeastern University, Boston, MA Master Student, Sep. 2021 - Dec. 2022 Supervisor: Prof. Yun Raymond Fu Concentration: Computer Vision, Machine Learning, and Algorithm |
![]() | Xidian University, Xi'an, China Undergraduate Student, Sep. 2017 - Jun. 2021 Major: Telecommunications Engineering |
Selected Honors & Awards
- Honor of Excellent Students Leader, Xidian University, 2020
- Shaanxi Provincial Bronze Medal, 5th Internet+ Innovation and Entrepreneurship Competition
Academic Service
Reviewer
- Conference: ACMMM 2024, AAAI 2025, UAI 2025, ACMMM 2025, NeurIPS 2025
- Journal: TKDD, TPAMI
Teaching
- TA of EECE5639 Computer Vision, Spring 2026, NEU BOS









