Pan ZHOU
I am a tenure-track Assistant Professor and Lee Kong Chian Fellow in the School of Computing and Information Systems at Singapore Management University (SMU), where I direct the Language and Vision Lab (LV-Lab).
Before joining SMU, I was a Senior Research Scientist at Sea AI Lab and a Research Scientist at Salesforce. I received my Ph.D. from the National University of Singapore (NUS), where I was advised by Prof. Jiashi Feng and Prof. Shuicheng Yan. Earlier, at Peking University (PKU), I worked with Prof. Zhouchen Lin and Prof. Chao Zhang. I also collaborate closely with Prof. Xiaotong Yuan. I spent several wonderful months at Georgia Tech in 2018 and Princeton University in 2019 as a visiting student.
panzhou3@gmail.com Google Scholar
Research Interests
My research aims to develop efficient and capable AI systems that can perceive, understand, reason about, and interact with the world. I work at the intersection of machine learning, computer vision, and optimization, with three primary research directions. See more details here.
- Efficiency optimization: How can we reduce the cost of training, fine-tuning, and inference for modern AI models, including LLMs?
- Learning frameworks: How can models learn effectively from limited or unlabeled data? Current topics include multimodal learning, agentic reasoning, and generative models for image/3D/video.
- Network architecture design: How can we design neural architectures that are capable and efficient?
Open Positions
- I am seeking for full- and part-time Ph.D. applicants with strong background in computer science and mathematics, fully-supported by SMU/AISG/AICS.
- I am recruiting visiting Ph.D. and Masters for agent/LLM/MLLM, optimization, and generative AI.
- I am looking for self-fund (e.g., CSC-fund) visiting scholars, Ph.D., and Masters with interests in my research topics or related ones.
- I am welcoming remote interns/scholars and collaborations without strong restrictions on topics.
Please check details of open positions, and feel free to contact me via email.