子帆


I am a Ph.D candidate in Computer Science and Technology at Tongji University, advised by Prof. Cairong Zhao and Guosheng Hu. Prior to this, I obtained my bachelor degree in Computer Science and Technology from Tongji University. My research interests lie in Multimodal Learning, Data-centric AI, and LLM Agent.


News


  • [2025/09] 1 Paper on Learning Paradigm for LLMs is accepted by Advances in Neural Information Processing Systems (NeurIPS), 2025.
  • [2025/09] I have been invited to serve as a Reviewer for International Conference on Learning Representations (ICLR), 2026.
  • [2025/08] I have been invited to serve as a Reviewer for IEEE Transactions on Image Processing (TIP).
  • [2025/07] 1 Paper on Training Paradigm is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
  • [2025/07] I have been invited to serve as a Reviewer for the 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.
  • [2025/04] I have been invited to serve as a Reviewer for Advances in Neural Information Processing Systems (NeurIPS), 2025.
  • [2025/03] I have been invited to serve as a Reviewer for International Conference on Computer Vision (ICCV), 2025.
  • [2025/03] I will join Microsoft Research Asia (MSRA) to start an internship journey.
  • [2025/03] I have been invited to serve as a Reviewer for ACL Rolling Review.
  • [2025/02] 1 Paper on Deepfake Detection is accepted by Pattern Recognition (PR), 2025.


Education




TONGJI UNIVERSITY
Doctoral Student
Computer Science and Technology
2021.09 - Present

TONGJI UNIVERSITY
Bachelor Degree
Computer Science and Technology
2017.09 - 2021.06


Internship




Microsoft Research Asia
Shanghai AI/ML Group
LLM Agent & World Model
2025.03 - 2025.12

Shanghai AI Laboratory
OpenMMLab @InternLM
LLM Fine-tuning & Code LLM
2023.09 - 2024.06


Publications


DPL++: Advancing the Network Performance via Image and Label Perturbations

Zifan Song, Xiao Gong, Guosheng Hu, Shuguang Dou, Qingsong Zhao, Cairong Zhao

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

[📃 Paper] [👨‍💻 Code]


AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data

Zifan Song*, Yudong Wang*, Wenwei Zhang*, Kuikun Liu, Chengqi Lyu, Demin Song, Qipeng Guo, Hang Yan, Dahua Lin, Kai Chen, Cairong Zhao

Advances in Neural Information Processing Systems (NeurIPS), 2024

[📃 Paper] [👨‍💻 Code] [🌐 Project Page] [🤗 HuggingFace]


Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?
Qingsong Zhao, Yi Wang, Jilan Xu, Yinan He,

Zifan Song, Limin Wang, Yu Qiao, Cairong Zhao

Advances in Neural Information Processing Systems (NeurIPS), 2024

[📃 Paper]


Code Needs Comments: Enhancing Code LLMs with Comment Augmentation
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang,

Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin

Annual Meeting of the Association for Computational Linguistics (ACL), 2024

[📃 Paper]


Zifan Song, Guosheng Hu, Cairong Zhao

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024

[📃 Paper] [👨‍💻 Code]


Zifan Song, Cairong Zhao, Guosheng Hu, Duoqian Miao

IEEE Transactions on Industrial Informatics (TII), 2023

[📃 Paper] [👨‍💻 Code]


Deep perturbation learning: enhancing the network performance via image perturbations

Zifan Song, Xiao Gong, Guosheng Hu, Cairong Zhao

International Conference on Machine Learning (ICML), 2023

[📃 Paper] [👨‍💻 Code]


Pre-Prints


InternLM2 Technical Report

InternLM Group

ArXiv 2024

[📃 Paper] [👨‍💻 Code] [🌐 Website]


Service



Connections


Shuguang Dou, Junyao Gao, Zefan Qu, Yuanpeng Tu, Yubin Wang, Siyuan Li, Yudong Wang, Wenwei Zhang