Hi, I am Wentao Hu, an incoming Ph.D. student at the AML Lab, City University of Hong Kong, under the supervision of Prof. Xiangyu Zhao, starting in Fall 2026.
I am currently a Master’s student in the College of Computing and Data Science (CCDS) at Nanyang Technological University (NTU), advised by Prof. Hanwang Zhang in MReaL Lab. Before that, I earned my Bachelor’s degree in Statistics from Hunan University (HNU).
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City Univercity of Hong KongDepartment of Data Science
in coming Ph.D StudentAug. 2026 - Jun. 2030 -
Nanyang Technological UniversityM.Eng. (by Research) in Computer ScienceAug. 2023 - Jan. 2026 -
Hunan UniversityB.S. in StatisticsSep. 2019 - Jun. 2023
Experience
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Huawei SingaporeAI Research InternAug. 2024 – May 2025 -
Kuaishou TechnologyInternDec. 2022 - Feb. 2023
Publications
Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning
Wentao Hu*, Wang Lin*, Liyu Jia, Kaihang Pan, Zhang Majun, Zhou Zhao, Fei Wu, Jingyuan Chen, Hanwang Zhang (* co-first authors)
NeurIPS 2025(Poster),
Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning
Wentao Hu*, Wang Lin*, Liyu Jia, Kaihang Pan, Zhang Majun, Zhou Zhao, Fei Wu, Jingyuan Chen, Hanwang Zhang (* co-first authors)
NeurIPS 2025(Poster),
WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark
Wang Lin, Feng Wang, Majun Zhang, Wentao Hu, Tao Jin, Zhou Zhao, Fei Wu, Jingyuan Chen, Sucheng Ren, Alan Yuille
ICLR 2026,
WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark
Wang Lin, Feng Wang, Majun Zhang, Wentao Hu, Tao Jin, Zhou Zhao, Fei Wu, Jingyuan Chen, Sucheng Ren, Alan Yuille
ICLR 2026,
Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning
Bohan Wang, Zhongqi Yue, Fengda Zhang, Shuo Chen, Li'an Bi, Junzhe Zhang, Kennard Yanting Chan, Jiachun Pan, Weijia Wu, Mingze Zhou, Wang Lin, Kaihang Pan, Saining Zhang, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang
NeurIPS 2025(Poster),
Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning
Bohan Wang, Zhongqi Yue, Fengda Zhang, Shuo Chen, Li'an Bi, Junzhe Zhang, Kennard Yanting Chan, Jiachun Pan, Weijia Wu, Mingze Zhou, Wang Lin, Kaihang Pan, Saining Zhang, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang
NeurIPS 2025(Poster),
On Path to Multimodal Generalist: Levels and Benchmarks
Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Hanwang Zhang, Shuicheng Yan
ICML 2025(Oral),
On Path to Multimodal Generalist: Levels and Benchmarks
Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Hanwang Zhang, Shuicheng Yan
ICML 2025(Oral),
Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning
Wang Lin*, Liyu Jia*, Wentao Hu*, Kaihang Pan, Zhongqi Yue, Jingyuan Chen, Fei Wu, Hanwang Zhang (* co-first authors)
arXiv Preprint,Under Review 2025
Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning
Wang Lin*, Liyu Jia*, Wentao Hu*, Kaihang Pan, Zhongqi Yue, Jingyuan Chen, Fei Wu, Hanwang Zhang (* co-first authors)
arXiv Preprint,Under Review 2025