Haozhe Liu
Haozhe Liu is a Ph.D. candidate at King Abdullah University of Science and Technology (KAUST), supervised by Prof. Jürgen Schmidhuber.
Biography
He received his M.S. degree in Computer Science from Shenzhen University in 2022, where he was honored with the China National Scholarship and Outstanding Graduate Award. In 2022, he interned at Jarvis Lab, Tencent, and was a visiting student at Norwegian Biometrics Laboratory (NBL), Norwegian University of Science and Technology (NTNU). In 2024, he joined Meta AI research scientist internship where he contributing to the development of large-scale foundation models, including autoregressive diffusion and LLM-driven multimodal systems. Haozhe Liu is (co-)first author of over 10 papers in top-tier venues, with more than 1,000 citations. He has participated in large-scale pre-training efforts, scaling models across thousands of GPUs, with research outcomes integrated into commercial products. His work was recognized as the best paper in the NeurIPS 2023 workshop. He is the reviewer for CVPR, ICCV, ECCV, ICML, AAAI, and MICCAI.
Research Interests
Haozhe's research focuses on multimodal generative models, particularly image and video generation, with the long-term goal of developing Physical AI and world models.
Awards and Distinctions
- Best Paper Award, NeuralIPS Workshop on robustness of zero/few-shot learning in foundation models (R0-FoMo), 2023
- Outstanding Graduate Award, Shenzhen University (SZU), 2022
- China National Scholarship, China Scholarship Council (CSC), 2021
Education
- Master of Science (M.S.)
- Computer Science, Shenzhen University (SZU), China, 2022
