SHAOFENG
Shaofeng Zhang
Shaofeng Zhang (张少锋)

I am a tenure-track assistant professor (预聘副教授) at the School of Artificial Intelligence and Data Science (SAIDS), University of Science and Technology of China (USTC).

I received my Ph.D. from Shanghai Jiao Tong University (SJTU), advised by Prof. Junchi Yan and Hongyuan Zha. Prior to that, I earned my bachelor's degree from UESTC in 2021.

Research Interests: Self-supervised representation learning, Diffusion models, Point cloud understanding, and World model.

Recruiting: I am actively recruiting highly motivated Master's and Ph.D. students, as well as outstanding undergraduates. Please email me if interested.

News

  • 09/2025: Three papers accepted to NeurIPS 2025.
  • 06/2025: One paper accepted to TPAMI 2025.
  • 06/2025: Two papers accepted to ICCV 2025.
  • 03/2025: One paper accepted to CVPR 2025.
  • 01/2025: One paper accepted to ICLR 2025.
  • 09/2024: One paper accepted to NeurIPS 2024.
  • 01/2024: One paper accepted to ICLR 2024.
  • 04/2023: One paper accepted to ICML 2023.
  • 01/2023: Two papers accepted to ICLR 2023.
  • 07/2022: One paper accepted to ECCV 2022.
  • 05/2022: One paper accepted to SIGKDD 2022.
  • 03/2022: One paper accepted to CVPR 2022.
  • 01/2022: One paper accepted to ICLR 2022.
  • 09/2020: One paper accepted to NeurIPS 2020.

Research

Publications († indicates corresponding author, * indicates equal contribution)

  1. Less is More: Data Ablation for Reinforcement Fine-Tuning of Large Language Models Haoru Tan, Xiuzhe Wu, Sitong Wu, Shaofeng Zhang, Yanfeng Chen, Xingwu Sun, Jeanne Shen, Xiaojuan Qi
    NeurIPS 2025
  2. VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang, Fanqing Meng, Xiangpeng Wan, Junchi Yan, Yu Cheng
    NeurIPS 2025
  3. DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning Sitong Wu, Haoru Tan, Jingyao Li, Shaofeng Zhang, Xiaojuan Qi, Bei Yu, Jiaya Jia
    NeurIPS 2025
  4. EasyOutPainter: One Step Image Outpainting with Both Continuous Multiple and Resolution Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Hao Li, Junchi Yan
    IEEE TPAMI 2025
  5. Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code Sitong Wu, Haoru Tan, Yukang Chen, Shaofeng Zhang, Jingyao Li, Bei Yu, Xiaojuan Qi, Jiaya Jia
    ICCV 2025
  6. Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views Xiangdong Zhang*, Shaofeng Zhang*, Junchi Yan
    ICCV 2025
  7. Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances Yi Yu, Botao Ren, Peiyuan Zhang, Mingxin Liu, Junwei Luo, Shaofeng Zhang, Feipeng Da, Junchi Yan, Xue Yang
    CVPR 2025
  8. CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang, Jinfa Huang, Junchi Yan
    ICLR 2025
  9. PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders Xiangdong Zhang*, Shaofeng Zhang*, Junchi Yan
    NeurIPS 2024 (Spotlight)
  10. ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation Shenghai Yuan, Jinfa Huang, Yongqi Xu, Yaoyang Liu, Shaofeng Zhang, Yujun Shi, Ruijie Zhu, Xinhua Cheng, Jiebo Luo, Li Yuan
    NeurIPS 2024 D&B Track (Spotlight)
  11. Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan
    ICLR 2024
  12. HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, et al.
    NeurIPS 2023
  13. Patch-level Contrastive Learning via Positional Query for Visual Pre-training Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan
    ICML 2023
  14. Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
    ICLR 2023
  15. Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
    ICLR 2023
  16. Self-supervised Learning of Visual Graph Matching Chang Liu*, Shaofeng Zhang*, Junchi Yan, Xiaokang Yang
    ECCV 2022
  17. M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Pinyan Lu, Xiaokang Yang
    KDD 2022 (Oral)
  18. Align Representations with Base: A New Approach to Self-Supervised Learning Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang
    CVPR 2022
  19. Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
    ICLR 2022
  20. The Diversified Ensemble Neural Network Shaofeng Zhang, Meng Liu, Junchi Yan
    NeurIPS 2020

Services

PC Member / Reviewer: TPAMI, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, AAAI.