Hao Tang

北京大学 助理教授 博士生导师 北大博雅青年学者 国家级海外高水平人才计划入选者
Office: 5 Yiheyuan Road, Haidian District, Beijing, 100871, China🇨🇳
Email: bjdxtanghao@gmail.com

Hey, thanks for stopping by! 👋

I am a tenure-track Assistant Professor (Ph.D. Supervisor) at the School of Computer Science, Peking University, China🇨🇳, studying computer vision, machine learning, and AI. Previously, I held postdoctoral positions at both CMU (Robotics Institute), USA🇺🇸, and ETH Zürich (Computer Vision Lab), Switzerland🇨🇭. My academic journey includes earning a master's degree from Peking University, China🇨🇳, and completing my Ph.D. (cum laude) at University of Trento, Italy🇮🇹. Additionally, I had the privilege of working and visiting several institutions, including University of Oxford (UK🇬🇧), IIAI (UAE🇦🇪), Northeastern University (USA🇺🇸), University of Michigan (USA🇺🇸), UCLA (USA🇺🇸), UPenn (USA🇺🇸), and so on.

Beyond academia, I have also had the honor of serving as a senior technical advisor for numerous AI startups, including those in USA🇺🇸, UK🇬🇧, Romania🇷🇴, and China🇨🇳, with technologies ranging from efficient AI to 3D vision to AIGC to AI4Blockchain, etc.

News & Events

Hiring! We're hiring Postdoc/Ph.D./Master/Intern researchers on Embodied AI, and AIGC (including LLM) for our PKU lab, feel free to reach out to me directly.
2025-07 We have 1 paper (Music-Guided Dance Video Synthesis) accepted to TPAMI 2025, 1 paper (Video Anomaly Detection) accepted to ACM MM 2025.
2025-06 We have 1 paper (Cellular Phenotypic Transdifferentiation) accepted to ICML 2025 Workshop, 1 paper (Monocular Depth Estimation) accepted to TCSVT 2025, 2 oral papers (Surgical Robot + Reconstruction and Editing in V2X Scenarios) accepted to IROS 2025, and 1 paper (Medical Image Segmentation) accepted to ICCV 2025.
2025-05 🎉I was invited to serve on the Editorial Board of Discover Artificial Intelligence, a journal by Springer Nature, I was also invited to serve as an Area Chair (AC) at EMNLP 2025, and we have 1 paper (Real-Time ViT on Mobile) accepted to IJCV 2025.
2025-04 We have 3 papers (Single-Step Image SR + In-Context Meta LoRA + Sparse MoE) accepted to IJCAI 2025, 1 paper (Synergistic Immunotherapy in Glioma) accepted to Advanced Science 2025, 1 paper (Continual Gesture Learning) accepted to IJCNN 2025, and 1 paper (Fake News Video Detection) accepted to TMM 2025.
2025-03 🎉I was invited to serve as an Area Chair (AC) at ACM MM 2025, and we have 1 paper (Accident Warning Agent) accepted to IV 2025.
2025-02 🎉I was invited to serve as an Area Chair (AC) for the Large Language Models (LLM) track at ACL 2025 and a SPC at IJCAI 2025, and we have 3 papers including 1 oral (Mamba for Image Compression + 4D Reconstruction + Diffusion Fourier Neural Operator) accepted to CVPR 2025.
2025-01 We have 1 paper (SAR Automatic Target Recognition) accepted to TAES 2025, 1 paper (Person Image Generation) accepted to TPAMI 2025, 1 paper (Explainability in MLLMs) accepted to NAACL 2025 Main Conference, and 1 paper (Urological Surgical Robots) accepted to ICRA 2025.
2024-12 We have 3 papers (Structured Pruning for LLM + FG-SBIR + Hair Transfer via Diffusion Model) accepted to AAAI 2025 and 1 paper (Efficient Fine-Tuning of LLM) accepted to ICASSP 2025.
2024-11 We have 1 paper (Virtual Try-On) accepted to TMM 2024.
2024-10 We have 1 paper (Quantization on Bird's-Eye View Representation) accepted to WACV 2025 and 1 paper (Semantic Segmentation on Autonomous Vehicles Platform) accepted to TCAD 2024.
2024-09 🎉I was elected as one of the World's Top 2% Scientists in 2024 by Stanford University, and we have 1 paper (Camera-Agnostic Attack) accepted to NeurIPS 2024 and 1 paper (Medical Image Segmentation) accepted to ACCV 2024.
2024-08 🎉I was invited as a speaker at the 2nd Workshop & Challenge on Micro-gesture Analysis for Hidden Emotion Understanding (MiGA) at IJCAI 2024 and we have 2 papers (Guided Image Translation + 3D Human Pose Estimation) accepted to PR 2024.
2024-07 We have 6 papers (Motion Mamba + Dataset Growth + Story Visualization and Completion + Diffusion Model for Semantic Image Synthesis + Generalizable Image Editing + 3D Semantic Segmentation) accepted to ECCV 2024, 1 paper (Survey about Physical Adversarial Attack) accepted to TPAMI 2024, and 2 papers (Talking Head Avatar + Story Visualization and Continuation) accepted to ACM MM 2024.
2024-06 🎉I joined Peking University as an Assistant Professor.
2024-04 🎉I received offers from MIT and Harvard University.
2024-02 We have 7 papers (Explanation for ViT + Faithfulness of ViT + Diffusion Policy for Versatile Navigation + Subject-Driven Generation [Final rating: 455] + Diffusion Model for 3D Hand Pose Estimation + Adversarial Learning for 3D Pose Transfer + Efficient Diffusion Distillation [224->235]) accepted to CVPR 2024.
2024-01 We have 1 paper (Architectural Layout Generation) accepted to TPAMI 2024.
2023-12 We have 1 paper (Sign Pose Sequence Generation) accepted to AAAI 2024.
2023-10 🎉I was elected as one of the World's Top 2% Scientists in 2023 by Stanford University and we have 4 papers (BEV Perception + Efficient ViT + 3D Motion Transfer + Graph Distillation) accepted to NeurIPS 2023.
2023-09 We have 1 paper (Practical Blind Image Denoising) accepted to MIR 2023 and 1 paper (Diffusion Model for HDR Deghosting) accepted to TCSVT 2023.
2023-08 🎉I received an offer from CMU.
2023-07 We have 1 paper (Semantic Image Synthesis) accepted to TPAMI 2023.
2023-06 We have 1 paper (Visible-Infrared Person Re-ID) accepted to ICCV 2023.
2023-05 We have 2 papers (Image Restoration Dataset + 3D-Aware Video Generation) accepted to CVPRW 2023 and 1 paper (3D Face Generation) accepted to JSTSP 2023.
2023-04 We have 1 paper (Speed-Aware Object Detection) accepted to ICML 2023, 2 papers (Lottery Ticket Hypothesis for ViT + Zero-shot Character Recognition) accepted to IJCAI 2023, 1 paper (3D Human Pose Estimation) accepted to PR 2023, and 1 paper (SAR Target Recognition) accepted to TGRS 2023.
2023-03 We have 6 papers (HDR Deghosting + Point Cloud Registration + Graph-Constrained House Generation + Mathematical Architecture Design + Text-to-Image Synthesis + Efficient Semantic Segmentation) accepted to CVPR 2023.
2023-02 We have 3 papers (Camouflaged Object Detection + Brain Vessel Image Segmentation + Cross-View Image Translation) accepted to ICASSP 2023 and 1 paper (Camouflaged Object Detection) accepted to TCSVT 2023.
2023-01 We have 1 paper (Semantic Image Synthesis) accepted to ICLR 2023 and 1 paper (Human Reaction Generation) accepted to TMM 2023.
2022-11 We have 4 papers (Real-Time Segmentation + Wearable Design + Efficient ViT Training + Text-Guided Image Editing) accepted to AAAI 2023, 1 paper accepted (Person Pose and Facial Image Synthesis) to IJCV 2022, 1 paper (Salient Object Detection) accepted to TIP 2022, and 1 paper (Object Detection Transformer) accepted to TCSVT 2022.
2022-10 We have 1 paper (Sinusoidal Neural Radiance Fields) accepted to BMVC 2022 and 1 paper (Guided Image-to-Image Translation) accepted to TPAMI 2022.
2022-09 We have 1 paper (Facial Expression Translation) accepted to TAFFC 2022 and 1 paper (Ship Detection) accepted to TGRS 2022.
2022-07 We have 5 papers (Real-Time SR + Video SR + Soft Token Pruning for ViT + 3D-Aware Human Synthesis + Video Semantic Segmentation) accepted to ECCV 2022, 1 paper (Gaze Correction and Animation) accepted to TIP 2022, and 1 paper (Cross-view Panorama Image Synthesis) accepted to PR 2022.
2022-06 We have 2 papers (Character Image Restoration + Character Image Denoising) accepted to ACM MM 2022.
2022-04 We have 1 paper (Real-Time Portrait Stylization) accepted to IJCAI 2022, 1 paper (Wide-Context Transformer for Semantic Segmentation) accepted to TGRS 2022, and 1 paper (Incremental Learning for Semantic Segmentation) accepted to TMM 2022.
2022-03 We have 5 papers including 1 oral (Text-to-Image Synthesis + 3D Human Pose Estimation + Text-Driven Image Manipulation + 3D Face Modeling + 3D Face Restoration) accepted to CVPR 2022, 1 paper (Image Generation) accepted to TPAMI 2022, and 1 paper (Cross-View Panorama Image Synthesis) accepted to TMM 2022.
2021-12 We have 2 papers (Generalized 3D Pose Transfer + Audio-Visual Speaker Tracking) accepted to AAAI 2022.
2021-11 We have 1 paper (Building Extraction in VHR Remote Sensing Images) accepted to TIP 2021.
2021-10 We have 3 papers (Cross-View Image Translation + Data-driven 3D Animation + Natural Image Matting) accepted to BMVC 2021.
2021-08 We have 1 paper (Layout-to-Image Translation) accepted to TIP 2021 and 1 paper (Unpaired Image-to-Image Translation) accepted to TNNLS 2021.
2021-07 We have 2 papers (Continuous Pixel-Wise Prediction + Unsupervised 3D Pose Transfer) accepted to ICCV 2021.
2021-06 We have 1 paper (Cross-View Exocentric to Egocentric Video Synthesis) accepted to ACM MM 2021 and 1 paper (Total Generate) accepted to TMM 2021.
2021-05 🎉I received an offer from ETH Zurich.
2020-09 🎉I received an offer from IIAI.
2020-08 We have 1 paper (Person Image Generation) accepted to BMVC 2020, 2 papers (Semantic Image Synthesis + Unsupervised Gaze Correction and Animation) accepted to ACM MM 2020, and 1 paper (Controllable Image-to-Image Translation) accepted to TIP 2020.
2020-07 We have 1 paper (Person Image Generation) accepted to ECCV 2020.
2020-05 We have 1 paper (Deep Dictionary Learning and Coding) accepted to TNNLS 2020 and 1 paper (Semantic Segmentation of Remote Sensing Images) accepted to TGRS 2020.
2020-02 We have 1 paper (Semantic-Guided Scene Generation) accepted to CVPR 2020.
2019-07 We have 1 paper (Keypoint-Guided Image Generation) accepted to ACM MM 2019.
2019-05 🎉I received an offer from University of Oxford.
2019-02 We have 1 paper (Cross-View Image Translation) accepted to CVPR 2019.
2018-06 We have 1 paper (Hand Gesture-to-Gesture Translation) accepted to ACM MM 2018.
2018-02 We have 1 paper (Monocular Depth Estimation) accepted to CVPR 2018.
2016-07 We have 1 paper (Large Scale Image Retrieval) accepted to IJCAI 2016.
2015-08 We have 1 paper (Gender Classification) accepted to ACM MM 2015.

Position Openings

For prospective collaborators interested in Embodied AI, and AIGC (including LLM), we are offering multiple positions for Postdoc/Ph.D./Master/Intern researchers. We welcome applicants from diverse disciplines, including Computer Science、Robotics、Medicine、Physics、Chemistry、Biology、and more. If you are interested in using AI to solve problems in your field, you are encouraged to apply. Please email me with your self-introduction, the project of interest (including the problem you are trying to solve and how you plan to solve it, being as specific as possible), your transcript, and CV. Send your application to haotang@pku.edu.cn. I'm sorry that I may not be able to respond to every email, but I assure you that your message will stand out if you have a strong research background.

For Ph.D./Postdoc/Master applicants, we have several openings for domestic students each year. Please reach out at least one year prior to the application deadline. For international students, PKU CS offers a variety of programs in English, including Master's, Ph.D. programs, Summer/Winter Schools, and various other options. Feel free to reach out if you are interested or have any questions. For visiting students/undergraduates/research interns/research assistants, we welcome undergraduate and graduate students from all over the world to apply for >6 months research internship. Our visitors/interns have published many top-tier conference/journal papers (e.g., TPAMI、CVPR、NeurIPS) and have been admitted to Postdoc/Ph.D./Master programs in prestigious institutions such as MIT, Harvard, Google, Brown University, University of Toronto, Caltech, ETH Zürich, NTU, NUS, and TUM.

Research Lab

The mission of our research lab is to harness AI to address real-world challenges. Our research priorities include Embodied AI and AIGC.

  • Qilin Wang (PhD, previously from Fudan University, China🇨🇳)
  • Siyuan Qian (PhD, w/ Shanghang Zhang, previously from BUAA, China🇨🇳)
  • Haoyu Wang (PhD, w/ Shiliang Zhang, previously from HIT, China🇨🇳)
  • Zhen Chen (PhD, w/ Shiliang Zhang, previously from Tongji University, China🇨🇳)
  • Kosta Gjorgjievski (Master, previously from UCLA, USA🇺🇸)
  • Derek Zeng (Master, previously from University of Waterloo, Canada🇨🇦)
  • Jiarui Ye (Master, previously from NUAA, China🇨🇳)
  • Xiaoyuan Wang (Visiting from CMU, USA🇺🇸)
  • Haozhan Tang (Visiting from CMU, USA🇺🇸)
  • Wenbo Gou (Visiting from CMU, USA🇺🇸)
  • Zhenyu Lu (Visiting from CMU, USA🇺🇸)
  • Rohan Siva (Visiting from UT Austin, USA🇺🇸)
  • Jun Liu (Visiting from Northeastern University, USA🇺🇸)
  • Zihao Wang (Visiting from UPenn, USA🇺🇸)
  • Yao Gong (Visiting from UPenn, USA🇺🇸)
  • Junjie Zeng (Visiting from UMich, USA🇺🇸)
  • Peng Huang (Visiting from Boston University, USA🇺🇸)
  • Xiaoyi Liu (Visiting from Washington University in St. Louis, USA🇺🇸 -> now Ph.D. student at Brown University, USA🇺🇸)
  • Kang Chen (Visiting from Rensselaer Polytechnic Institute, USA🇺🇸)
  • Bin Xie (Visiting from Illinois Institute of Technology, USA🇺🇸)
  • Huixiu Jiang (Visiting from Illinois Institute of Technology, USA🇺🇸)
  • Jingyi Wan (Visiting from University of Cambridge, UK🇬🇧)
  • Xuanyu Lai (Visiting from Imperial College London, UK🇬🇧)
  • Yitong Luo (Visiting from Imperial College London, UK🇬🇧)
  • Baohua Yin (Visiting from University of Sussex, UK🇬🇧)
  • Zhiguang Han (Visiting from NTU, Singapore🇸🇬)
  • Ali Haider (Visiting from Kyung Hee University, South Korea🇰🇷)
  • Amitoj Singh Miglani (Visiting from IIT Roorkee, India🇮🇳)
  • Pirzada Suhail (Visiting from IIT Bombay, India🇮🇳)
  • Siddhant Pathak (Visiting from IIT BHU, India🇮🇳)
  • Vrushank Ajay Ahire (Visiting from IIT Ropar, India🇮🇳)
  • Ahmad Imran (Visiting from NUST, Pakistan🇵🇰)
  • Zeyu Zhang (Visiting from Australian National University, Australia🇦🇺)
  • Hongpeng Wang (Visiting from University of Sydney, Australia🇦🇺)
  • Zeyu Ren (Visiting from University of Melbourne, Australia🇦🇺)
  • Haihang Wu (Visiting from University of Melbourne, Australia🇦🇺)
  • Zhixing Wang (Visiting from University of Malaya, Malaysia🇲🇾)
  • Pakawat Phasook (Visiting from King Mongkut’s University of Technology Thonburi, Thailand🇹🇭)
  • Ahmed Eldaw Mohamed (Visiting from University of Cape Town, South Africa🇿🇦)
  • Yuxuan Fan (Visiting from HKUST (Guangzhou), China🇨🇳)
  • Nonghai Zhang (Intern from Peking University, China🇨🇳)
  • Keyu Chen (Intern from Peking University, China🇨🇳)
  • Di Yu (Visiting from Tsinghua University, China🇨🇳)
  • Yuxuan Zhang (Visiting from Shanghai Jiao Tong University, China🇨🇳 -> now Ph.D. student at CUHK, Hong Kong🇭🇰)
  • Renkai Wu (Visiting from Shanghai Jiao Tong University, China🇨🇳 -> now Ph.D. student at Tsinghua University, China🇨🇳)
  • Hui Wei (Visiting from Wuhan University, China🇨🇳 -> now Postdoc at University of Oulu, Finland🇫🇮)
  • Xiaofeng Zhang (Visiting from Shanghai Jiao Tong University, China🇨🇳)
  • Yihua Shao (Visiting from University of Science and Technology Beijing, China🇨🇳)
  • Qinhua Xie (Visiting from East China Normal University, China🇨🇳)
  • Zihang Liu (Visiting from Beijing Institute of Technology, China🇨🇳)
  • Aoming Liang (Visiting from Westlake University, China🇨🇳)
  • Sifan Li (Visiting from Liaoning University, China🇨🇳)

Former members and visitors:

  • Youran Qu (Intern from Peking University, China🇨🇳 -> now Master at Dartmouth College, USA🇺🇸)
  • Kaiwen Shi (Intern from Peking University, China🇨🇳 -> now PhD at University of Notre Dame, USA🇺🇸)
  • Lujing Xie (Intern from Peking University, China🇨🇳 -> now PhD at University of Texas at Dallas, USA🇺🇸)
  • Yaowu Zhang (Intern from Peking University, China🇨🇳 -> now Master at Institute of Computing Technology, Chinese Academy of Sciences, China🇨🇳)
  • Haoran Li (Intern from Peking University, China🇨🇳 -> now Master at Peking University, China🇨🇳)
  • Yaoxiang Xiong (Intern from Peking University, China🇨🇳 -> now Master at Peking University, China🇨🇳)
  • Jinxian Ren (Intern from Peking University, China🇨🇳)
  • Guillaume Thiry (Intern from ETH Zürich, Switzerland🇨🇭 -> now Software Engineer at Google, Switzerland🇨🇭)
  • Sherwin Bahmani (Intern from ETH Zürich, Switzerland🇨🇭 -> now Ph.D. student at University of Toronto, Canada🇨🇦)
  • Sanghwan Kim (Intern from ETH Zürich, Switzerland🇨🇭 -> now Ph.D. student at TUM, Germany🇩🇪)
  • Alexandros Delitzas (Intern from ETH Zürich, Switzerland🇨🇭 -> now Ph.D. student at ETH Zürich and Max Planck Institute for Informatics, Switzerland🇨🇭 and Germany🇩🇪)
  • Jingfeng Rong (Intern from ETH Zürich, Switzerland🇨🇭 -> now Ph.D. student at Swiss Finance Institute, Switzerland🇨🇭)
  • Yitong Xia (Intern from ETH Zürich, Switzerland🇨🇭)
  • Boyan Duan (Intern, now Master at ETH Zürich, Switzerland🇨🇭)
  • Baptiste Chopin (Intern, now Postdoc at INRIA, France🇫🇷)
  • Chenyang Gu (Intern from Peking University, China🇨🇳)
  • Xiaoyu Yi (Intern from Peking University, China🇨🇳)

Teaching

  • 2025 Fall, PKU: Deep Learning and Large Models
  • 2025 Spring, PKU: Deep Generative Models
  • 2025 Spring, PKU: Video Encoding and Understanding

International Collaborations

Our lab maintains strong collaborative relationships with several leading international research institutions, including

  • USA🇺🇸: MIT, Harvard, Stanford University, CMU, Princeton University, UIUC, UMich, Northeastern University, University of Maryland, University of Texas at Austin, UC Irvine, University of Illinois at Chicago, Illinois Institute of Technology, University of Connecticut, Texas State University, University of Georgia, Clemson University, University of Oregon, College of William & Mary
  • Canada🇨🇦: University of Toronto, Simon Fraser University
  • Switzerland🇨🇭: ETH Zürich, EPFL
  • UK🇬🇧: University of Oxford, University of Cambridge, University of Leicester, University of Warwick
  • Italy🇮🇹: University of Trento, FBK, Politecnico di Milano, University of Modena e Reggio Emilia
  • Germany🇩🇪: TUM, University of Würzburg
  • France🇫🇷: INRIA, University of Lille
  • Finland🇫🇮: University of Oulu
  • Netherlands🇳🇱: TU Delft
  • Belgium🇧🇪: KU Leuven
  • Bulgaria🇧🇬: INSAIT
  • Singapore🇸🇬: NUS, NTU
  • Japan🇯🇵: University of Tokyo, National Institute of Informatics
  • South Korea🇰🇷: Sungkyunkwan University
  • Australia🇦🇺: University of Adelaide, ANU, Monash University, University of Technology Sydney
  • UAE🇦🇪: IIAI, MBZUAI
  • HongKong🇭🇰: University of Hong Kong, Hong Kong University of Science and Technology
I am deeply grateful for the opportunities to collaborate with such esteemed institutions and for the valuable contributions they have made to our joint research efforts. Additionally, we maintain long-term collaborations with industry, including Google, Meta, Amazon, Cisco, Western Digital, Mercedes-Benz, Xiaohongshu, Alibaba, Tencent, etc, aiming to translate cutting-edge research into practical applications and drive technological advancement.

Featured Publications

(Including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI, ACM MM, ICRA, IROS, NAACL, TPAMI, IJCV)

†My Students or Interns, *Corresponding Author(s)

  1. Arxiv
    Follow Your Motion: A Generic Temporal Consistency Portrait Editing Framework with Trajectory Guidance
     Haijie Yang,  Zhenyu Zhang,  Hao Tang,  Jianjun Qian,  Jian Yang
    In Arxiv, 2025
    PDF Code
  2. Arxiv
    FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation
     Guohao Huo,  Ruiting Dai,  Ling Shao,  Hao Tang*
    In Arxiv, 2025
    PDF Code
  3. Arxiv
    RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2
     Bin Xie,  Hao Tang,  Yan Yan,  Gady Agam
    In Arxiv, 2025
    PDF Code
  4. Arxiv
    Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
     Bin Xie,  Hao Tang,  Dawen Cai,  Yan Yan,  Gady Agam
    In Arxiv, 2025
    PDF Code
  5. Arxiv
    UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis
     Zhiwei Chen,  Hao Tang*
    In Arxiv, 2025
    PDF Code
  6. Arxiv
    Boosting Adversarial Transferability with Spatial Adversarial Alignment
     Zhaoyu Chen,  Haijing Guo,  Kaixun Jiang,  Jiyuan Fu,  Xinyu Zhou,  Dingkang Yang,  Hao Tang,  Bo Li,  Wenqiang Zhang
    In Arxiv, 2025
    PDF Code
  7. Arxiv
    Artificial Intelligence for Quantum Error Correction: A Comprehensive Review
     Zihao Wang,  Hao Tang*
    In Arxiv, 2024
    PDF Code Media
  8. Arxiv
    PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
     Yuqing Wang,  Zhongling Huang,  Shuxin Yang,  Hao Tang,  Xiaolan Qiu,  Junwei Han,  Dingwen Zhang
    In Arxiv, 2024
    PDF Code
  9. Arxiv
    Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs
     Lei Xin,  Caiyun Huang,  Hao Li,  Shihong Huang,  Yuling Feng,  Zhenglun Kong,  Zicheng Liu,  Siyuan Li,  Chang Yu,  Fei Shen,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  10. Arxiv
    Text-to-Image Synthesis: A Decade Survey
     Nonghai Zhang,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  11. Arxiv
    Multimodal Alignment and Fusion: A Survey
     Songtao Li,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  12. Arxiv
    AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations
     Jiawei Mao,  Yu Yang,  Xuesong Yin,  Ling Shao,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  13. Arxiv
    KMM: Key Frame Mask Mamba for Extended Motion Generation
     Zeyu Zhang,  Hang Gao,  Akide Liu,  Qi Chen,  Feng Chen,  Yiran Wang,  Danning Li,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  14. Arxiv
    GWQ: Gradient-Aware Weight Quantization for Large Language Models
     Yihua Shao,  Siyu Liang,  Xiaolin Lin,  Zijian Ling,  Zixian Zhu,  Minxi Yan,  Haiyang Liu,  Siyu Chen,  Ziyang Yan,  Yilan Meng,  Chenyu Zhang,  Haotong Qin*,  Michele Magno,  Yang Yang,  Zhen Lei,  Yan Wang,  Jingcai Guo,  Ling Shao,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  15. Arxiv
    M2M: Learning Controllable Multi of Experts and Multi-Scale Operators Are the Partial Differential Equations Need
     Aoming Liang,  Zhaoyang Mu,  Pengxiao Lin,  Cong Wang,  Mingming Ge,  Ling Shao,  Dixia Fan*,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  16. Arxiv
    Barbie: Text to Barbie-Style 3D Avatars
     Xiaokun Sun,  Zhenyu Zhang,  Ying Tai,  Qian Wang,  Hao Tang,  Zili Yi,  Jian Yang
    In Arxiv, 2024
    PDF Code
  17. Arxiv
    InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation
     Zeyu Zhang,  Akide Liu,  Qi Chen,  Feng Chen,  Ian Reid,  Richard Hartley,  Bohan Zhuang,  Hao Tang*
    In Arxiv, 2024
    PDF Code
  18. Arxiv
    A Survey on Multimodal Wearable Sensor-based Human Action Recognition
     Jianyuan Ni,  Hao Tang,  Syed Tousiful Haque,  Yan Yan,  Anne HH Ngu
    In Arxiv, 2024
    PDF Code
  19. Arxiv
    StableGarment: Garment-Centric Generation via Stable Diffusion
     Rui Wang,  Hailong Guo,  Jiaming Liu,  Huaxia Li,  Haibo Zhao,  Xu Tang,  Yao Hu,  Hao Tang,  Peipei Li
    In Arxiv, 2024
    PDF Code
  20. ACM MM
    EventVAD: Training-free Event-aware Video Anomaly Detection
     Yihua Shao,  Haojin He,  Sijie Li,  Siyu Chen,  Xinwei Long,  Fanhu Zeng,  Yuxuan Fan,  Muyang Zhang,  Ziyang Yan,  Ao Ma,  Xiaochen Wang,  Hao Tang,  Yan Wang,  Shuyan Li
    In ACM MM 2025, Dublin, Ireland
    PDF Code
  21. ICCV
    MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation
     Bin Xie,  Hao Tang,  Bin Duan,  Dawen Cai,  Yan Yan,  Gady Agam
    In ICCV 2025, Honolulu, USA
    PDF Code
  22. IROS Oral
    TTTFusion: A Test-Time Training-Based Strategy for Multimodal Medical Image Fusion in Surgical Robots
     Qinhua Xie,  Hao Tang*
    In IROS 2025, Hangzhou, China
    PDF Code
  23. IJCV
    AutoViT: Achieving Real-Time Vision Transformers on Mobile via Latency-aware Coarse-to-Fine Search
     Zhenglun Kong,  Dongkuan Xu,  Zhengang Li,  Peiyan Dong,  Hao Tang,  Yanzhi Wang, Subhabrata Mukherjee
    Springer International Journal of Computer Vision (IJCV), 2025
    PDF Code
  24. IJCAI
    Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
     Zihang Liu,  Zhenyu Zhang,  Hao Tang*
    In IJCAI 2025, Montreal, Canada
    PDF Code
  25. IJCAI
    In-Context Meta LoRA Generation
     Yihua Shao,  Minxi Yan,  Yang Liu,  Siyu Chen,  Wenjie Chen,  Xinwei Long,  Ziyang Yan,  Lei Li,  Chenyu Zhang,  Nicu Sebe,  Hao Tang*,  Yan Wang,  Hao Zhao,  Mengzhu Wang,  Jingcai Guo*
    In IJCAI 2025, Montreal, Canada
    PDF Code
  26. Advanced
    Science
    Smart Organic–Inorganic Copolymer Nanoparticles Distinguish Between Microglia and Cancer Cells for Synergistic Immunotherapy in Glioma
     Shiming Zhang,  Kun Shang,  Lidong Gong,  Qian Xie,  Jianfei Sun,  Meng Xu,  Xunbin Wei,  Zhaoheng Xie,  Xinyu Liu,  Hao Tang,  Zhengren Xu,  Wei Wang,  Haihua Xiao,  Zhiqiang Lin,  Hongbin Han
    Advanced Science, 2025
    PDF Code
  27. CVPR Oral
    DiffFNO: Diffusion Fourier Neural Operator
     Xiaoyi Liu,  Hao Tang*
    In CVPR 2025, Nashville, USA
    PDF Code
  28. CVPR
    MambaIC: State Space Models for High-Performance Learned Image Compression
     Fanhu Zeng,  Hao Tang,  Yihua Shao,  Siyu Chen,  Ling Shao,  Yan Wang
    In CVPR 2025, Nashville, USA
    PDF Code
  29. CVPR
    PartRM: Modeling Part-Level Dynamics with Large Cross-State Reconstruction Model
     Mingju Gao,  Yike Pan,  Huan-ang Gao,  Zongzheng Zhang,  Wenyi Li,  Hao Dong,  Hao Tang,  Li Yi,  Hao Zhao
    In CVPR 2025, Nashville, USA
    PDF Code
  30. ICRA
    Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots
     Renkai Wu,  Xianjin Wang,  Pengchen Liang,  Zhenyu Zhang,  Qing Chang*,  Hao Tang*
    In ICRA 2025, Atlanta, USA
    PDF Code
  31. NAACL
    From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks
     Xiaofeng Zhang,  Yihao Quan,  Chen Shen,  Xiaosong Yuan,  Shaotian Yan,  Liang Xie,  Wenxiao Wang,  Chaochen Gu,  Hao Tang, Jieping Ye
    In NAACL 2025, Albuquerque, USA
    PDF Code
  32. AAAI
    Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
     Jun Liu,  Zhenglun Kong,  Pu Zhao,  Changdi Yang,  Hao Tang*,  Xuan Shen,  Geng Yuan,  Wei Niu,  Wenbin Zhang,  Xue Lin,  Dong Huang*,  Yanzhi Wang*
    In AAAI 2025, Philadelphia, USA
    PDF Code
  33. AAAI
    Stable-Hair: Real-World Hair Transfer via Diffusion Model
     Yuxuan Zhang,  Qing Zhang,  Yiren Song,  Jichao Zhang,  Hao Tang,  Jiaming Liu
    In AAAI 2025, Philadelphia, USA
    PDF Code
  34. AAAI
    Towards Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
     Jianan Jiang,  Hao Tang*,  Zhilin Jiang,  Weiren Yu,  Di Wu*
    In AAAI 2025, Philadelphia, USA
    PDF Code
  35. NeurIPS
    Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection
     Hui Wei,  Zhixiang Wang,  Kewei Zhang,  Jiaqi Hou,  Yuanwei Liu,  Hao Tang,  Zheng Wang
    In NeurIPS 2024, Vancouver, Canada
    PDF Code
  36. ACM MM Oral
    ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance
     Haijie Yang,  Zhenyu Zhang,  Hao Tang,  Jianjun Qian,  Jian Yang
    In ACM MM 2024, Melbourne, Australia
    PDF Code
  37. ACM MM
    CoIn: A Lightweight and Effective Framework for Story Visualization and Continuation
     Ming Tao,  Bao Bingkun,  Hao Tang,  Yaowei Wang,  Changsheng Xu
    In ACM MM 2024, Melbourne, Australia
    PDF Code
  38. TPAMI
    Physical Adversarial Attack Meets Computer Vision: A Decade Survey
     Hui Wei,  Hao Tang,  Xuemei Jia,  Zhixiang Wang,  Hanxun Yu,  Zhubo Li,  Shin'ichi Satoh,  Luc Van Gool,  Zheng Wang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
    PDF Code
  39. ECCV
    Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM
     Zeyu Zhang,  Akide Liu,  Ian Reid,  Richard Hartley,  Bohan Zhuang,  Hao Tang*
    In ECCV 2024, Milan, Italy
    PDF Code
  40. ECCV
    3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance
     Xiaoxu Xu,  Yitian Yuan,  Jinlong Li,  Qiudan Zhang,  Zequn Jie,  Lin Ma,  Hao Tang,  Nicu Sebe,  Xu Wang
    In ECCV 2024, Milan, Italy
    PDF Code
  41. ECCV
    StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
     Ming Tao,  Bingkun Bao,  Hao Tang,  Yaowei Wang,  Changsheng Xu
    In ECCV 2024, Milan, Italy
    PDF Code
  42. ECCV
    InstructGIE: Towards Generalizable Image Editing
     Zichong Meng,  Changdi Yang,  Jun Liu,  Hao Tang*,  Pu Zhao*,  Yanzhi Wang*
    In ECCV 2024, Milan, Italy
    PDF Code
  43. ECCV
    SCP-Diff: Photo-Realistic Semantic Image Synthesis with Spatial-Categorical Joint Prior
     Huan-ang Gao,  Mingju Gao,  Jiaju Li,  Wenyi Li,  Rong Zhi,  Hao Tang,  Hao Zhao
    In ECCV 2024, Milan, Italy
    PDF Code
  44. ECCV
    Dataset Growth
     Ziheng Qin,  Zhaopan Xu,  Yukun Zhou,  Zangwei Zheng,  Zebang Cheng,  Hao Tang,  Lei Shang,  Baigui Sun,  Xiaojiang Peng,  Radu Timofte,  Hongxun Yao,  Kai Wang,  Yang You
    In ECCV 2024, Milan, Italy
    PDF Code
  45. CVPR
    Highlight
    HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
     Wencan Cheng,  Hao Tang,  Luc Van Gool,  Jong Hwan Ko
    In CVPR 2024, Seattle, USA
    PDF Code
  46. CVPR
    Versatile Navigation under Partial Observability via Value-guided Diffusion Policy
     Gengyu Zhang,  Hao Tang,  Yan Yan
    In CVPR 2024, Seattle, USA
    PDF Code
  47. CVPR
    Towards Robust 3D Pose Transfer with Adversarial Learning
     Haoyu Chen,  Hao Tang,  Ehsan Adeli,  Guoying Zhao
    In CVPR 2024, Seattle, USA
    PDF Code
  48. CVPR
    On the Faithfulness of Vision Transformer Explanations
     Junyi Wu,  Weitai Kang,  Hao Tang,  Yuan Hong,  Yan Yan
    In CVPR 2024, Seattle, USA
    PDF Code
  49. CVPR
    Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
     Junyi Wu,  Bin Duan,  Weitai Kang,  Hao Tang,  Yan Yan
    In CVPR 2024, Seattle, USA
    PDF Code
  50. CVPR
    SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
     Yuxuan Zhang,  Jiaming Liu,  Yiren Song,  Rui Wang,  Hao Tang,  Jinpeng Yu,  Huaxia Li,  Xu Tang,  Yao Hu,  Han Pan,  Zhongliang Jing
    In CVPR 2024, Seattle, USA
    PDF Code
  51. CVPR
    Workshop
    Towards Online Real-Time Memory-based Video Inpainting Transformers
     Guillaume Thiry,  Hao Tang*,  Radu Timofte,  Luc Van Gool
    In CVPR 2024, Seattle, USA
    PDF Code
  52. AAAI
    G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model
     Pan Xie,  Qipeng Zhang,  Peng Taiying,  Hao Tang*,  Yao Du,  Zexian Li
    In AAAI 2024, Vancouver, Canada
    PDF Code
  53. NeurIPS
    HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
     Peiyan Dong,  Zhenglun Kong,  Xin Meng,  Pinrui Yu,  Yifan Gong,  Geng Yuan,  Hao Tang*, Yanzhi Wang
    In NeurIPS 2023, New Orleans, USA
    PDF Code
  54. NeurIPS
    PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
     Peiyan Dong,  Lei Lu,  Chao Wu,  Cheng Lyu,  Geng Yuan,  Hao Tang*, Yanzhi Wang
    In NeurIPS 2023, New Orleans, USA
    PDF Code
  55. NeurIPS
    LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
     Haoyu Chen,  Hao Tang,  Radu Timofte,  Luc Van Gool,  Guoying Zhao
    In NeurIPS 2023, New Orleans, USA
    PDF Code
  56. NeurIPS
    Does Graph Distillation See Like Vision Dataset Counterpart?
     Beining Yang,  Kai Wang,  Qingyun Sun,  Cheng Ji,  Xingcheng Fu,  Hao Tang,  Yang You,  Jianxin Li
    In NeurIPS 2023, New Orleans, USA
    PDF Code
  57. MIR
    Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
     Kai Zhang,  Yawei Li,  Jingyun Liang,  Jiezhang Cao,  Yulun Zhang,  Hao Tang,  Dengping Fan,  Radu Timofte,  Luc Van Gool
    Springer Machine Intelligence Research (MIR), 2023
    PDF Code
  58. ICCV
    Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification
     Jianbing Wu,  Hong Liu,  Yuxin Su,  Wei Shi,  Hao Tang
    In ICCV 2023, Paris, France
    PDF Code
  59. ICML
    SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
     Peiyan Dong,  Zhenglun Kong,  Xin Meng,  Peng Zhang,  Hao Tang*,  Yanzhi Wang,  Chih-Hsien Chou
    In ICML 2023, Hawaii, USA
    PDF Code
  60. IJCAI
    Data Level Lottery Ticket Hypothesis for Vision Transformers
     Xuan Shen,  Zhenglun Kong,  Minghai Qin,  Peiyan Dong,  Geng Yuan,  Xin Meng,  Hao Tang,  Xiaolong Ma,  Yanzhi Wang
    In IJCAI 2023, Macao, China
    PDF Code
  61. CVPR
    Graph Transformer GANs for Graph-Constrained House Generation
     Hao Tang,  Zhenyu Zhang,  Humphrey Shi,  Bo Li,  Ling Shao,  Nicu Sebe,  Radu Timofte,  Luc Van Gool
    In CVPR 2023, Vancouver, Canada
    PDF Code
  62. CVPR
    Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
     Guofeng Mei,  Hao Tang,  Xiaoshui Huang,  Weijie Wang,  Juan Liu,  Jian Zhang,  Luc Van Gool,  Qiang Wu
    In CVPR 2023, Vancouver, Canada
    PDF Code
  63. CVPR
    DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
     Xuan Shen,  Yaohua Wang,  Ming Lin,  Yilun Huang,  Hao Tang,  Xiuyu Sun,  Yanzhi Wang
    In CVPR 2023, Vancouver, Canada
    PDF Code
  64. CVPR
    GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
     Ming Tao,  Bingkun Bao,  Hao Tang,  Changsheng Xu
    In CVPR 2023, Vancouver, Canada
    PDF Code
  65. ICLR
    Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
     Hao Tang,  Xiaojuan Qi,  Guolei Sun,  Dan Xu,  Nicu Sebe,  Radu Timofte,  Luc Van Gool
    In ICLR 2023, Kigali, Rwanda
    PDF Code
  66. ECCV
    3D-Aware Semantic-Guided Generative Model for Human Synthesis
     Jichao Zhang,  Enver Sangineto,  Hao Tang,  Aliaksandr Siarohin,  Zhun Zhong,  Nicu Sebe,  Wei Wang
    In ECCV 2022, Tel Aviv, Israel
    PDF Code
  67. ECCV
    Towards Interpretable Video Super-Resolution via Alternative Optimization
     Jiezhang Cao,  Jingyun Liang,  Kai Zhang,  Wenguan Wang,  Qin Wang,  Yulun Zhang,  Hao Tang,  Luc Van Gool
    In ECCV 2022, Tel Aviv, Israel
    PDF Code
  68. CVPR
    MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
     Wenhao Li,  Hong Liu,  Hao Tang,  Pichao Wang,  Luc Van Gool
    In CVPR 2022, New Orleans, USA
    PDF Code
  69. CVPR Oral
    DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
     Ming Tao,  Hao Tang,  Fei Wu,  Xiaoyuan Jing,  Bingkun Bao,  Changsheng Xu
    In CVPR 2022, New Orleans, USA
    PDF Code
  70. ACM MM Best
    Paper Candidate
    GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
     Hao Tang,  Wei Wang,  Dan Xu,  Yan Yan,  Nicu Sebe
    In ACM MM 2018, Seoul, South Korea
    PDF Code