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

05/2026Started research internship at Amazon IRG.
01/2026Started as TA for EECE5639 Computer Vision, Spring 2026.
12/2025Preprint: Rethinking Fine-Tuning: Unlocking Hidden Capabilities in VLMs.
06/2025Started research internship at Socure.
06/2025Preprint: Trajectory Prediction Meets Large Language Models: A Survey.
05/2025Cautious Next Token Prediction accepted to ACL 2025.
03/2025Preprint: Boosting LLMs with Mask Fine-Tuning.
12/2024Passed Ph.D. qualifying exam and advanced to candidacy.
12/2022Started Applied Scientist Intern at AInnovationLabs.
09/2023Joined SMILELab at NEU as a Ph.D. student.
09/2021Started 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


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