Haofan Wang

Work Email: wanghaofan (at) xiaohongshu.com
School Email: haofanw (at) alumni.cmu.edu
Personal Email: haofanwang.ai (at) gmail.com
Research Interests
  • ID Preserving Image Generation
  • Temporally Consistent Video Generation
  • Fast Inference, Fine-grained Control, Multi-Features Disentanglement
Biography

Haofan Wang (王浩帆) is a research engineer at Xiaohongshu, working primarily on controllable and conditional content generation (AIGC). Before that, he worked at MMU, Kuaishou. He obtained master degree from Carnegie Mellon University. He visited Image and Video Understanding Laboratory (IVUL), King Abdullah University of Science and Technology (KAUST) in 2020 and DATA Lab, Texas A&M University in 2019, repectively. He studied at UC Berkeley from August 2017 to December 2017 as a visiting student, and worked as undergraduate research assistant at Berkeley RISE Lab, collaborating with Corey Zumar on Clipper. He also spent time at OpenMined, RealAI, Everspry, Horizon Robotics and Institute of Software Chinese Academy of Sciences. His works inlcude InstantID, Score-CAM.

Hiring: We are actively looking for self-motivated research and engineering interns or external collaborators, feel free to reach out via email wanghaofan@xiaohongshu.com if interested!

Selected Publications (Full List)
[motion]
Qixun Wang, Xu Bai, Haofan Wang*, Zekui Qing, and Anthony Chen. * means corresponding author.
Arxiv 2024
[Project Page] [Code]
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Anthony Chen, Huanrui Yang, Yulu Gan, Denis A Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, and Kurt Keutzer
Arxiv 2023
[Paper] [Project Page]
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Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang Mengyuan Liu and Donglin Wang
AAAI 2024
[Paper] [Project Page]
[motion]
Liang Pan, Jingbo Wang, Buzhen Huang, Junyu Zhang, Haofan Wang, Xu Tang, Yangang Wang
3DV 2024
[Paper] [Code] [Project Page]
[motion]
Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, and Haofan Wang,
ICCV 2023, Poster
[Paper] [Project Page]
[elict]
[tmm]
Yu Lu, Feiyue Ni, Haofan Wang, Xiaofeng Guo, Linchao Zhu, Zongxin Yang, Ruihua Song, Lele Cheng, and Yi Yang
IEEE Transactions on Multimedia (TMM), 2023
[Paper] [Project Page]
[kgrn]
Weijiang Yu*, Haofan Wang*, Guohao Li, Nong Xiao, and Bernard Ghanem. * means equal contribution.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2023
[Paper] [Code]
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Jue Wang*, Haofan Wang*, Weijia Wu, Jincan Deng, Yu Lu, Xiaofeng Guo, and Debing Zhang. * means equal contribution.
ICML 2022 Pre-training Workshop
[Paper] [Code] [Citation: 11]
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Zifan Wang, Haofan Wang, Shakul Ramkumar, Matt Fredrikson, Piotr Mardziel, and Anupam Datta
NeurIPS 2020, Poster
[Paper] [Poster] [Code] [Citation: 29]
[Score-CAM]
IEEE CVPR 2020 Workshop on Fair, Data Efficient and Trusted Computer Vision
[Project Page] [Paper] [Slides] [News] [Citation: 531]
[HeadPose]
Haofan Wang, Zhenghua Chen, and Yi Zhou
ArXiv 1901.06778
[Project Page] [Paper] [Citation: 12]
Mentoring
  • Anthony Chen (MS@PKU)
  • Wenshuo Peng (MS@THU)
  • Hao Ai (MS@BUAA)
  • Andi Zhang (Ph.D@University of Cambridge)
  • Alumni Interns
  • Yangyi Huang (MS@ZJU) -> Next: Research Intern@NVIDIA
  • Liang Pan (MS@SEU) -> Next: Research Intern@Shanghai AI Lab
  • Pengxiang Ding (MS@BUPT) -> Next: Ph.D@Westlake University
  • Yifan Yao (MS@SJTU) -> Next:China Life Insurance Company Limited
  • Teaching
  • TA of 18-793 Image and Video Processing, Prof: Aswin C Sankaranarayanan, Summer 2020, Carnegie Mellon University
  • Professional Services
  • Journal Reviewer: IJCV, TMM, TKDD, AI Communications
  • Conference Reviewer: NeurIPS (2021,2022,2023), ICLR (2022,2023,2024), ICML (2022,2023), ECCV (2022,2024), CVPR (2023,2024), XAI4CV@CVPR (2023), ICCV (2023), PRCV (2023)
  • Career Trajectory

    Kuaishou (2021-2022) --> Xiaohongshu (2022-) --> What's NeXT? --> Digital Nomad (203x)

    Misc

    Piano Level 7 (Yamaha YU118DN, Roland HP704), Scuba Diving (AOW), Snowboarding (elementatry), Amateur photographer (Sony RX100M5, Mavic Air, Instax Mini90, Osmo Pocket3), Janpanese (elementary), US Stock player