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) at the University of Science and Technology of China (USTC). I received my Ph.D. from Shanghai Jiao Tong University (SJTU), where I was advised by Professor Junchi Yan and Hongyuan Zha. Prior to my doctoral studies, I earned my bachelor's degree from the UESTC in 2021.
My research focuses on self-supervised representation learning, diffusion models, point cloud understanding, and vision-language-action (VLA) modeling.
I am actively recruiting highly motivated Master's and Ph.D. students, as well as outstanding undergraduates. If you are interested in collaborating, please feel free to contact me via email.
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.)
- 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 - 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 - 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 - EasyOutPainter: One Step Image Outpainting with Both Continuous Multiple and Resolution
Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Hao Li, Junchi Yan
TPAMI 2025 - 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 (* equal contribution) - 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 - 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 - PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
Xiangdong Zhang*, Shaofeng Zhang*, Junchi Yan
NeurIPS 2024 Spotlight (* equal contribution) - 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 - 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 - HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang
NeurIPS 2023 - Patch-level Contrastive Learning via Positional Query for Visual Pre-training
Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan
ICML 2023 - Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
ICLR 2023 - Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
ICLR 2023 - Self-supervised Learning of Visual Graph Matching
Chang Liu*, Shaofeng Zhang*, Junchi Yan, Xiaokang Yang
ECCV 2022 (* equal contribution) - 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 - 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 - Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
ICLR 2022 - The Diversified Ensemble Neural Network
Shaofeng Zhang, Meng Liu, Junchi Yan
NeurIPS 2020 - Fooled by Imagination: Adversarial Attack to Image Captioning Via Perturbation in Complex Domain
Shaofeng Zhang*, Zheng Wang*, Xing Xu, Xiang Guan, Yang Yang
ICME 2020 Oral (* equal contribution)
Services
PC member/Reviewer: TPAMI, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, AAAI.