I am currently an assistant professor at the Institute of Automation, Chinese Academy of Sciences. I received my Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences in 2025, advised by Prof. Qingyi Gu. During my Ph.D. journey, I was awarded CAS Presidential Scholarship and National Scholarship. I was a visiting scholar at the National University of Singapore (2024-2025), advised by Prof. Yang You. I was also a visiting PhD student (remotely) at UC Berkeley (2023-2024), advised by Prof. Zhen Dong and Prof. Kurt Keutzer, and am very fortunate to maintain collaboration until now. I received my bachelor’s degree from Dalian University of Technology in 2020.

My research interests include efficient AI (LLM, VLM, VideoGen), model compression, hardware-software co-design, and efficient evaluation and alignment. Our goal is to achieve efficient training (fine-tuning) and inference of models at low cost, low latency, and low power consumption through algorithmic and hardware optimization.

🔥Long-term Recruiting: I am actively looking for visiting students and researchers (bachelor, master, or Ph.D.), feel free to contact me at zhikai.li@ia.ac.cn if you are interested in working with me!

Education & Work Experience

• 2025.07 – Present, Assistant Professor. Institute of Automation, Chinese Academy of Sciences.
• 2024.09 – 2025.05, Visiting Scholar. National University of Singapore.
• 2023.05 – 2024.08, Visiting PhD Student (remotely). UC Berkeley.
• 2020.09 – 2025.06, PhD in Pattern Recognition. Institute of Automation, Chinese Academy of Sciences.
• 2016.09 – 2020.06, Bachelor in Electronic Engineering. Dalian University of Technology.

Research Interests

• Efficient AI (LLM, VLM, VideoGen)
• Model Compression
• Hardware-Software Co-Design
• Efficient Evaluation and Alignment