Jack (Hao) Bai
haob2 AT illinois DOT edu
Jack Bai is a first-year M.S. student in Computer Science at the University of Illinois at Urbana-Champaign, guided by Prof. Nan Jiang, and a visiting scholar at UC Berkeley under Prof. Sergey Levine. His research focuses on building intelligent and reliable machine agents that solve real-world tasks, which includes (1) representation learning for foundation models and (2) developing principled reinforcement learning algorithms. He was previously a visiting scholar with Prof. Yi Ma and a research assistant for Prof. Heng Ji and Prof. Chengxiang Zhai. Jack holds a dual undergraduate degree in Computer Engineering from UIUC and Zhejiang University. During his undergrad, he interned at Microsoft Research Asia (DKI Group), mentored by Dr. Shilin He. He has published several influential papers in top-tier machine learning conferences and journals, such as EMNLP, WSDM, and JMLR.
A public up-to-date resume can be found here.
News
Jul 01, 2024 | This month, I’ll give an open-door talk at BAAI (register here), and closed-door talks at ICML FM-Wild Workshop (Oral), Moonshot.ai and Meituan. |
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Jun 20, 2024 | My first first-authored paper DigiRL is released and selected as Oral at Foundation Models in the Wild Workshop @ ICML’2024. This work is gracefully under guidance of Prof. Aviral Kumar and Prof. Sergey Levine. |
May 15, 2024 | My first RL paper RL4VLM is released, gracefully under guidance of Prof. Sergey Levine. I’m extremely honored to also collaborate with Saining Xie and Yann Lecun. |
Apr 12, 2024 | My first representation learning (LM pre-training) paper CRATE is accepted by JMLR! Gracefully under guidance of Prof. Yi Ma and Yaodong Yu. |
Feb 07, 2024 | My follow-up work of SocialGen, CharmBana, has been published by WSDM’24, under guidance of Prof. Chengxiang Zhai. |
Latest Posts
Jun 07, 2023 | A Complete Tutorial on Self-Attention & Transformer |
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Selected Publications
- EMNLP’23