CV
You can find my latest CV here.
Education
- Ph.D. in Computing and Information Science, Rochester Institute of Technology, (present)
- M.S. in Computer Science, Santa Clara University, 2023
- B.S. in Computer Engineering, Michigan State University, 2018
Work experience
- Sep 2025 - Present: Research Scientist Intern
- Meta Superintelligence Labs (MSL), FAIR Team
- Project: Variational Information Restriction in VLM – Visual-Centric Generation.
- Supervisor: Dr. Praveen Krishnan
- May 2025 - Sep 2025: Research Intern
- Snap Research, Computational Imaging Team
- Project: * Project: Information flow guided token pruning in VLM.
- Supervisor: Dr. Jian Wang
- Mar 2020 - Jul 2021: Software Engineer
- Robotrak Technologies Co., Ltd.
- Duties includes: Software development, Machine Learning application
- Supervisor: Dr. Qi Yin
Skills
- Maching learning
- Computer Vision
- NLP
- Programming
- C++
- Python
- Pytorch
Publications
Latent Chain-of-Thought for Visual Reasoning
Sun, G., Hua, H., Wang, J., Luo, J., Dianat, S., Rabbani, M., & Tao, Z. (2025). Latent chain-of-thought for visual reasoning. NeurIPS
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical
Sun, G., Qin, C., Fu, H., Wang, L., & Tao, Z. (2024). STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical.
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
Sun, G., Qin, C., Wang, J., Chen, Z., Xu, R., & Tao, Z. (2024). SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. ECCV