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

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

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