Chaojian Li

Chaojian Li is an Assistant Professor at the Department of Computer Science and Engineering (CSE), the Hong Kong University of Science and Technology (HKUST). His research interests include Networking and Computer Systems, Data, Knowledge and Information Management, with a focus on algorithm-hardware co-design, computer architecture and systems, AI infrastructure and systems, large language models, and 3D intelligence applications. His work has been recognized with several prestigious honors, including the Best Paper Award at MICRO 2024, selection as an MLCommons ML and Systems Rising Star, 1st Place in the Ph.D. Forum at DAC 2024, and 1st Place in the TinyML Design Contest at ICCAD 2022. He earned his Ph.D. in Computer Science from Georgia Tech in 2025 and his B.Eng. from Tsinghua University in 2019.

Chaojian Li is a researcher at the Hong Kong University of Science and Technology, focusing on Efficient AI and Hardware / software codesign. His work explores methods to enhance the efficiency of deep learning models through algorithmic and architectural innovations. Li's research includes developing frameworks for neural architecture search, optimizing AI accelerators, and enabling real-time neural radiance field training for AR/VR applications. His publications highlight the integration of hardware-aware techniques with AI systems to improve performance and reduce computational costs. Li's contributions span from DNN chip prediction to novel approaches in vision transformer acceleration and memory-efficient computation.