I will join UCLA Computer Science in 2025-26 academic year as an Assistant Professor.
I am looking for motivated and technically strong PhD/Postdoc/Intern students to join my lab. If you are interested in efficient AI, Quantum, and GenAI, please feel free to fill out the form and shoot me an email.
Hanrui Wang received his PhD degree from MIT advised by Song Han. His research focuses on efficient AI and Quantum Computing. His work has been recognized by ACM SRC 1st Place Award, Best Poster Award at NSF AI Institute, Best Paper Award at QCE, and Best Paper Award at ICML RL4RL. He is the recipient of Qualcomm Fellowship, Unitary Fund, Nvidia Fellowship Finalist, Rising Star in ML and Systems, and Rising Star in ISSCC. He is the creator of TorchQuantum library which has been adopted by IBM and PyTorch Ecosystems, and the co-founder of QuCS lecture series for quantum education. He received B. Eng. degree with honors from Fudan University.
Efficiency is critical for unlocking the full potential of AI. We innovate in key areas such as Transformer and LLMs (SpAtten, Hardware-Aware Transformer, Lightning-Transformer, SpAtten-Chip, SpArch), Vision (AMC, APQ), using techniques including pruning, quantization, neural architecture search, and hardware-architecture-algorithm co-design.
Quantum offers substantial speed and efficiency improvements for problems that are challenging for classical computers. We innovate in key areas of quantum compilers (Atomique, Q-Pilot), AI for Quantum Science (QuantumNAS, QuEst, QuantumNAT, QOC, SnCQA), quantum control (Pulse Learning, DISQ), and quantum error correction to accelerate the path towards practical quantum computing.
Email: wang@cs.ucla.edu
Office: 404 Westwood Plaza, Engineering VI, Los Angeles, CA 90095-1596
If you work on efficient AI Computing, Quantum Computing, GenAI and are interested in joining my lab, please fill out the recruiting form.
