- Awards: Adobe Reward: 2024 Key Innovations (Tech Transfer Small LLM on Acrobat)
- Projects: Released LazyDiT code, Multimodal Opioid Benchmark released on HuggingFace
Research Experience
- Current Position: Postdoctoral Associate in the Department of Electrical and Computer Engineering at Cornell Tech, Cornell University, working with Prof. Tianyi Chen on developing efficient AI models tailored for analog computing devices
Education
- Ph.D.: ECE Department of Northeastern University, August 2025, Advisor: Prof. Yanzhi Wang
- M.S.: Northeastern University, 2020
- B.S.: Nanjing University of Science and Technology, 2018
Background
Research Interests: Efficient deep learning, with a particular focus on optimizing large foundation models and diffusion models for text and visual generation. Emphasizes scalability, latency reduction, and deployment efficiency across a wide range of hardware platforms, including GPUs, mobile devices, FPGAs, and ASICs.