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XuDong Wang (王旭东)Hi! I'm a Research Scientist with the Llama Research team of Meta GenAI. I received my Ph.D. in EECS from UC Berkeley, where I was affiliated with the Berkeley AI Research (BAIR) lab under the mentorship of Prof. Trevor Darrell. Before joining BAIR, I was a member of the International Computer Science Institute (ICSI), advised by Prof. Stella X. Yu. I received my Master's degree (Thesis Plan) in Intelligent Systems, Robotics, and Control from UC San Diego, advised by Prof. Nuno Vasconcelos, and my Bachelor's degree as an honorary member of the Tang Aoqing Honors Program in Science at Jilin University.I was a student researcher at Google DeepMind (Mountain View, 2024-2025), working with Prof. Cordelia Schmid, Dr. Xingyi Zhou, and Dr. Alireza Fathi. Before that, I interned at Meta AI—with the GenAI team (Seattle, 2023) and FAIR (New York, 2022)—collaborating with Dr. Ishan Misra and Dr. Rohit Girdhar. I also worked closely with Drs. Zhaowei Cai, Zhirong Wu, and Ziwei Liu. Earlier, I was a staff researcher at the vision group at ICSI (2019-2020). My research has been primarily focused on self-supervised learning, multimodality models and machine learning. I am particularly interested in advancing multimodality models beyond human supervision. By enhancing self-supervised learning techniques for multimodality models—minimizing reliance on human-annotated datasets—I strive to develop intelligent systems that can comprehend and interact with the environment in ways that mirror or even surpass human sensation, perception, and reaction. How to pronounce XuDong? It is composed of two syllables: "Xu" and "Dong": /ʃü/-/dɔ:ŋ/Contact: xdwang [at] eecs [dot] berkeley [dot] edu |
