CV
Education
- Ph.D. in Intelligence Science and Technology, Xiamen University, 2021.09 – 2025.06
- Advisor: Prof. Rongrong Ji
- MAC Lab, Institute of Artificial Intelligence
- M.S. in Software Engineering, Peking University, 2017.09 – 2020.07
- B.S. in Software Engineering, Beijing Institute of Technology, 2013.09 – 2017.07
Research Interests
- Efficient LLMs: LLM compression, quantization, pruning, speculative decoding, KV cache compression
- Efficient Visual Generative Models: Diffusion model acceleration, consistency models, video generation acceleration
- Efficient Visual Foundation Models: ViT compression, VLA model acceleration, video understanding acceleration
- Efficient Model Safety: Robustness under compression, safe efficient inference
- Bioinformatics Computing: Biological language models, biological agents, AI4Science
Work Experience
- 2025.06 – Present — Associate Researcher (副研究员)
- School of Computer Science and Technology, Hainan University
- Focus: Efficient deep learning, model quantization, ViT compression
- 2021.09 – 2025.06 — Ph.D. candidate
- MAC Lab, Xiamen University
- Focus: Network compression and post-training quantization
- Summer 2022 – Spring 2023 — Research Intern
- Pengcheng Lab, Shenzhen
- Focus: Post-training quantization for vision models
- 2020.11 – 2021.09 — Research Intern
- MAC Lab, Xiamen University
- Focus: Network compression and acceleration
- 2020.07 – 2020.11 — R&D Engineer
- Baidu, Beijing
- Computer vision and deep learning systems
- 2019.11 – 2020.02 — Research Intern
- Kuaishou Technology, Beijing
- Video understanding and model efficiency
- 2018.09 – 2019.09 — Research Intern
- Megvii Technology (Face++), Beijing
- Person re-identification and image generation
Skills
- Deep Learning Frameworks: PyTorch, TensorFlow
- Programming: Python, C/C++, CUDA
- Tools: Git, Docker, Linux, LaTeX
- Languages: Chinese (Native), English (Fluent)
Professional Service
- Reviewer: ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV
- Reviewer: IEEE TNNLS, IEEE TCSVT