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Haocheng Tang

hctang@stu.pku.edu.cn

About Me

I am Haocheng Tang, a Ph.D. student in Computer Science at Peking University, advised by Prof. Wen Gao and Prof. Siwei Ma.

I received my B.Eng. degree in Computer Science from Harbin Institute of Technology in 2024, and I am currently pursuing my Ph.D. degree at Peking University from 2024 to 2029.

My research interests lie in 3D Digital Humans, with a particular focus on efficient representation and compression for digital humans, human-object and human-environment interaction, and digital human applications for sports scenarios.

I am also actively involved in research on AVS standards for digital human representation and coding, and have led the establishment of the VRU AhG Digital Human Group to advance the standardization of digital humans.

Education

Peking University

Ph.D. in Computer Science and Technology

Advisors: Prof. Wen Gao and Prof. Siwei Ma

2024 - 2029

Harbin Institute of Technology

B.Eng. in Computer Science and Technology

2020 - 2024

Publications

  1. HGC-Avatar: Hierarchical Gaussian Compression for Streamable Dynamic 3D Avatars
    Haocheng Tang*, Ruoke Yan*, Xinhui Yin, Qi Zhang, Xinfeng Zhang, Siwei Ma, Wen Gao, Chuanmin Jia
    ACM MM 2025 (CCF-A, Oral)
  2. Efficient Feedforward Human-Centric Video Compression via 3D Gaussian Generation
    Haocheng Tang, Ruoke Yan, Xiaolong Zhang, Jiaqi Zhang, Qi Wang, Lili Chen, Siwei Ma
    DCC 2026 (CCF-B)
  3. Transfer Anyone: High-Fidelity Human Transfer on Motion Video via Diffusion-Based Reconstruction
    Haocheng Tang, Ruoke Yan, Xuanyi Liu, Xiaolong Zhang, Bin Zhao, Siwei Ma, Chuanmin Jia
    ICIP 2026 (CCF-C, Oral)
  4. SportRecast: Bringing New Identities to Dynamic Sports Scenes
    Haocheng Tang*, Jiale Qian*, Zhe Su*, Chuanmin Jia, Jiaqi Zhang, Xinghao Pan, Peipei Guo, Lu Zhao, Siwei Ma
    AIART, ICME Workshop 2026 (CCF-B)
  5. Stream-FCGS: Fast Compression and Streaming for 4D Gaussian Splatting
    Mingjia Yang*, Haocheng Tang*, Zheng Wang, Xueying Chang, Siwei Ma, Jiaqi Zhang
    ICIP 2026 (CCF-C)
  6. Lightweight CNN-Based In-Loop Filtering for Video Coding with Hardware-Aware Optimizations
    Xiaolong Zhang, Yanchen Zhao, Xuewei Meng, Jiaqi Zhang, Haocheng Tang, Lin Li, Qi Wang, Siwei Ma
    DCC 2026 (CCF-B)
  7. Semantic-Guided Pseudo-Feature Attention Network for Audio-Visual Zero-Shot Learning
    Siteng Ma, Wenrui Li, Haocheng Tang, Yeyu Chai, Jisheng Chu, Xingtao Wang
    ICASSP 2026 (CCF-B)
  8. Parallax to Align Them All: An OmniParallax Attention Mechanism for Distributed Multi-View Image Compression
    Haotian Zhang, Feiyue Long, Yixin Yu, Jian Xue, Haocheng Tang, Tongda Xu, Zhenning Shi, Yan Wang, Siwei Ma, Jiaqi Zhang
    CVPR 2026 (CCF-A)
  9. GauMVC: Generative Decoupled Gaussian Representation for Human-Centric Multi-View Video Compression
    Ruoke Yan, Mingjia Yang, Xinfeng Zhang, Haocheng Tang, Qian Yin, Zhipin Deng, Kai Zhang, Li Zhang, Siwei Ma
    CVPR 2026 (CCF-A)
  10. HumanMP: Lifelike Dynamic 3D Human Sequence Generation via Multi-Priors
    Ruoke Yan, Xuanyi Liu, Xinfeng Zhang, Qian Yin, Haocheng Tang, Yaqiang Wu, Siwei Ma
    ICME 2026 (CCF-B)
  11. Boosting Neural Video Codec via Scale-Driven Online Flow Refinement
    Tiange Zhang, Rongqun Lin, Haocheng Tang, Xiandong Meng, Jiangwei Jia, Zhimeng Huang, Siwei Ma
    ICME 2026 (CCF-B, Oral)
  12. WaveletSR: Blind Super-Resolution for Noisy 3D Gaussian Splatting
    Qizhe Wang, Xiaohan Lu, Haocheng Tang, Jiaye Fu, Jiaqi Zhang, Siwei Ma
    NTIRE, CVPR Workshop 2026 (CCF-A)
  13. Fusion-regularized Alignment Modality-adaptive Audio-Visual Network for Audio-Visual Zero-Shot Learning
    Siteng Ma, Xiaoyu Niu, Haocheng Tang, Zhe Yang, Jisheng Chu and Wenrui Li
    Neurocomputing 2026 (CCF-C)

AVS Proposals

  1. M8530: Technical Requirements for Digital Human Representation and Coding
    AVS VRU Proposal, Aug. 2024 (Accepted)
  2. M8862: Standardization Proposal for Compression of Gaussian Digital Humans
    AVS VRU Proposal, Mar. 2025 (Accepted)
  3. M9150: Reference Software and Test Dataset for Digital Human Coding
    AVS VRU Proposal, Aug. 2025 (Accepted)
  4. N4122: General Test Conditions 1.0 for 3D Digital Human Reconstruction and Coding
    AVS VRU Proposal, Aug. 2025 (Accepted)
  5. M9343: General Test Conditions 2.0 for 3D Digital Human Reconstruction and Coding
    AVS VRU Proposal, Dec. 2025 (Accepted)
  6. AI M2379: Integrated Preprocessing Engineering and Evaluation for High-Quality AIGV Training Data
    AITISA AIGC Proposal, Dec. 2025 (Accepted)
  7. AI M2380: Evaluation Metric for Memorization Ability of AIGV Models
    AITISA AIGC Proposal, Dec. 2025 (Accepted)
  8. AI M2391: Standardization Proposal for Generative Digital Humans
    AITISA AIGC Proposal, Mar. 2026 (Accepted)
  9. M9508: Decoupled Representation and Generality Statement for 3D Digital Humans
    AVS VRU Proposal, Mar. 2026 (Accepted)
  10. AI M2426: AIGV Model Metrics
    AITISA AIGC Proposal (Accepted)
  11. i3DV5.0: Robustness Enhancement Method for Gaussian Residual Primitive Coding on the Platform
    AVS VRU Proposal, Mar. 2026 (Accepted)
  12. i3DV: Suggestions for Improving Test Sequence Configuration and Processing
    AVS VRU Proposal, Mar. 2026 (Accepted)

Honors and Awards

🏆
National Scholarship
2025–2026
🌟
Peking University Outstanding Student Model
2025–2026
🥇
NTIRE 1st Place, NTIRE 3D Content Super-Resolution Challenge, CVPRW
2026
🎓
Outstanding Graduate of Heilongjiang Province
2024
📐
First Prize, National College Student Mathematical Modeling Competition
2022

Contact Me

I am always happy to connect with people who are interested in digital humans (Mocap, Reconstruction, Compression, HOI/HSI) and 3D reconstruction (3DGS, 4DGS, Volumetric Video, and World Models). If you would like to discuss research ideas or potential collaboration, feel free to reach out via email: hctang@stu.pku.edu.cn.

I am also glad to hear from undergraduate and master’s students who are interested in digital humans, 3D reconstruction, and AVS-related research. If you would like to get involved as an intern and work on related topics at Peking University, feel free to contact me as well.