🎓 About Me

Chunfeng Song (宋纯锋) is currently a Research Scientist at Shanghai AI Laboratory, working closely with Prof. Wanli Ouyang. Before that, he was an Associate Professor with the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), working with Prof. Tieniu Tan and Prof. Zhaoxiang Zhang. He received the PhD degree from CASIA, and the University of Chinese Academy of Sciences (UCAS) in 2020, under the supervision of Prof. Liang Wang. He has published more than 50 conference and journal papers such as Nature Communications, IEEE TPAMI, CVPR, NeurIPS, ICML, ICLR. His research focuses on AI for Science, especially Neuroscience and Data-centric Agentic Science.

🔈 Join Us

We are hiring full-time researchers, PhD students, and interns! Please feel free to contact me via Email for possible cooperation if you are interested in our projects of AI4Neuroscience and Data-centric Agentic Science research!

随时欢迎对科学智能、数据智能体、神经科学、脑机接口等方向感兴趣的全职研究员/博士研究生(联培)/实习生通过邮件联系交流与合作!

🔥 News

  • 2026.02:   Two papers accepted by CVPR-2026.
  • 2026.01:   One paper accepted by ICLR-2026.
  • 2025.12:   One paper accepted by Nature Communications.
  • 2025.09:   Three papers accepted by NeurIPS-2025.
  • 2025.05:   Two papers accepted by ICML-2025.
  • 2025.02:   One paper accepted by CVPR-2025.
  • 2024.12:   One paper accepted by AAAI-2025.
  • 2023.07:   One paper accepted by IEEE TPAMI.
  • 2022.06:   One paper accepted by IEEE TPAMI.

📄 Pre-Prints

(†Equal contribution, *Corresponding authors)

TechReport 2026

SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery [Paper] [Code] [Project]

Jiyong Rao†, Yicheng Qiu†, Jiahui Zhang†, Juntao Deng†, Shangquan Sun†, …, Runkai Zhao*, Chunfeng Song*, Lei Bai*, Chi Zhang*

Technical Report @ 2026

Survey 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers [Paper] [Project] [SciDataIndex]

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, …, Zongyuan Ge*, Shixiang Tang*, Junjun He*, Chunfeng Song*, Lei Bai*, Bowen Zhou*

Survey @ 2025

TechReport 2025

AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications [Paper] [Code]

Jiamin Wu†, Zichen Ren†, Junyu Wang, Pengyu Zhu, Yonghao Song, Mianxin Liu, Qihao Zheng, Lei Bai, Wanli Ouyang*, Chunfeng Song*

Technical Report @ 2025

TechReport 2025

UniMind: Unleashing the Power of LLMs for Unified Multi-Task Brain Decoding [Paper]

Weiheng Lu†, Chunfeng Song†, Jiamin Wu*, Pengyu Zhu, Yuchen Zhou, Weijian Mai, Qihao Zheng, Wanli Ouyang

Technical Report @ 2025

TechReport 2024

UniSPAC: A Unified Segmentation Framework for Proofreading and Annotation in Connectomics [Paper] [Code]

Juntao Deng†, Jiamin Wu†, Changmin Chen, Qihao Zheng, Zhaoxiang Zhang, Jingpeng Wu*, Wanli Ouyang*, Chunfeng Song*

Technical Report @ 2024

📝 Selected Publications

(†Equal contribution, *Corresponding authors)

Nat. Commun. 2025

AI-augmented intraoperative decision-making workflows in diffuse midline glioma biopsy using cryosection pathology [Paper] [Code]

Yifan Yuan, Qi Yue*, Yining Wang, Zunguo Du, Xingfu Wang, Fang Yan, Haixia Cheng, Kaitao Chen, Zanyi Wu, Jianping Song, Chunfeng Song, Lei Bai, Mu Zhou*, Mianxin Liu*, Ying Mao*

Nature Communications 2025

NeurIPS 2025

SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning [Paper] [Code]

Weijian Mai, Jiamin Wu*, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew F. Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

ICML 2025

Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment [Paper] [Code]

Yu Zhu, Chunfeng Song*, Wanli Ouyang, Shan Yu*, Tiejun Huang

Proceedings of the International Conference on Machine Learning (ICML) 2025

ICML 2025

MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data [Paper] [Code]

Yuqin Dai†, Zhouheng Yao†, Chunfeng Song, Qihao Zheng, Weijian Mai, Kunyu Peng, Shuai Lu, Wanli Ouyang, Jian Yang*, Jiamin Wu*

Proceedings of the International Conference on Machine Learning (ICML) 2025

CVPR 2025

Neuro-3D: Towards 3D Visual Decoding from EEG Signals [Paper] [Code] [Dataset]

Zhanqiang Guo†, Jiamin Wu†, Yonghao Song, Weijian Mai, Qihao Zheng, Wanli Ouyang*, Chunfeng Song*

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025

AAAI ORAL 2025

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis [Paper]

Yu Zhu, Bo Lei, Chunfeng Song*, Wanli Ouyang, Shan Yu*, Tiejun Huang

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2025

TPAMI 2023

Weakly Supervised Semantic Segmentation via Box-driven Masking and Filling Rate Shifting [Paper] [Code]

Chunfeng Song, Wanli Ouyang, Zhaoxiang Zhang*

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

TPAMI 2023

Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification [Paper] [Code]

Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang*

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

TPAMI 2022

CASIA-E: A Large Comprehensive Dataset for Gait Recognition [Paper] [Dataset]

Chunfeng Song†, Yongzhen Huang†, Weining Wang, and Liang Wang*

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022

CVPR 2022

The devil is in the details: Window-based attention for image compression [Paper] [Code]

Renjie Zou, Chunfeng Song, and Zhaoxiang Zhang*

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022

PR 2019

GaitNet: An End-to-end Network for Video-based Human Identification [Paper] [Code]

Chunfeng Song, Yongzhen Huang, Yan Huang, Ning Jia, and Liang Wang*

Pattern Recognition (PR) 2022

CVPR 2019

Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation [Paper] [Code]

Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang*

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

CVPR 2018

Mask-guided Contrastive Attention Model for Person Re-Identification [Paper] [Code]

Chunfeng Song, Yan Huang, Wanli Ouyang, and Liang Wang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018

CIARP 2013

Auto-encoder Based Data Clustering [Paper] [Code]

Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, Tieniu Tan

Iberoamerican Congress on Pattern Recognition (CIARP) 2013 *My first paper

💬 Invited Talks

🌏 Academic Services