Xiaofeng Zhang (张晓峰)  

Ph.D student, SJTU



Key Laboratory of System Control and Information Processing

Shang Hai Jiao Tong Unversity

Email: framebreak@sjtu.edu.cn, 微信: SemiZxf

钱塘江上朝信来,今日方知我是我



[Google Scholar] [GitHub]


News

  • 11/2024: We introduce EAH, Enhancing Attention Heads to Alleviate Hallucination in LVLMs!
  • 1/2025: I have one paper accepted by NAACL 2025.
  • 1/2025: I have one paper accepted by ICLR 2025.
  • 1/2025: I have one paper accepted by ACM TOMM.
  • 12/2024: I have one paper accepted by Neural Network.
  • 12/2024: We have one paper accepted by TIM.
  • 12/2024: I have one paper accepted by AAAI 2025.
  • 10/2024: I have one paper accepted by WACV 2025.
  • 09/2024: I have one paper accepted by NIPS 2024.
  • 08/2024: I have one paper accepted by ACM MM 2024.
  • 08/2024: I have one paper accepted by BMVC 2024.
  • 01/2024: We have three paper accepted by ICASSP 2024.

About Me

I am currently an Ph.D student at SJTU, Shang Hai Jiao Tong University . Prior to that, I received my bachelor degree in NJUPT. My current research focuses on large vision-language models.

Biography

  • 2024.01 - Present, Research Intern at Alibaba Groud(飞天实验室), supervised by Chen Shen.
  • 2022.09 - Present, Ph.D at Shang Hai Jiao Tong Unversity.
  • 2021.09 - 2022.9. Product manger. in China Mobile Communications Group Jiangsu Co., LTD. Wuxi branch.
  • 2014.09- 2021.06, B/M.Eng. in Nanjing University of Posts and Telecommunications

    Preprints

    Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

    Xiaofeng Zhang, Yihao Quan, Chaochen Gu, Chen Shen, Xiaosong Yuan, Shaotian Yan, Jieping Ye

    [arXiv]

    Publications

    From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

    Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan, Chaochen Gu, Hao Tang, Jieping Ye

    NAACL 2025 Oral🏆

    [arXiv] [Code]

    Enhancing Multimodal Large Language Models Complex Reasoning via Similarity Computation

    Xiaofeng Zhang, Fanshuo Zeng, Yihao Quan, Zheng Hui, Jiawei Yao

    AAAI, 2025/Neural Network 2025

    [Code]

    DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layer

    Jingfeng Wei*, Xiaofeng Zhang*(corresponding author/projector leader)

    ACM MM, 2024

    [arXiv]

    High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer

    Mingxian Li, Hao Sun, Yingtie Lei,Xiaofeng Zhang, Yihang Dong, Yilin Zhou, Zimeng Li, Xuhang Chen

    WACV, 2025 oral🏆.

    [arXiv] [Code]

    Improving complex reasoning with dynamic prompt corruption: a soft prompt optimization approch

    Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Jieping Ye

    ICLR, 2025.


    Instance-adaptive Zero-shot Chain-of-Thought Prompting

    Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye

    NeurIPS, 2024.

    [arXiv]

    Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement

    Xiaofeng Zhang, Zishan Xu, Hao Tang, Chaochen Gu, Wei Chen

    ACM Transactions on Multimedia Computing, Communications, 2025

    [arXiv] [Code]

    Improving depth gradient continuity in transformers: A comparative study on monocular depth estimation with cnn

    Jiawei Yao, Tong Wu,Xiaofeng Zhang

    BMVC, 2024.

    [arXiv] [Code]

    MuralDiff:Diffusion for Ancient Murals restoration on Large-scale Pre-training

    Zishan Xu,Xiaofeng Zhang, Wei Chen, Jueting Liu, Tingting Xu, Zehua Wang

    IEEE Transactions on Emerging Topics in Computational Intelligence(TETCI), 2024.

    [arXiv]

    Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement

    Jiesong Bai, Yuhao Yin, Qiyuan He, Yuanxian Li, Xiaofeng Zhang*(corresponding author),

    ICONIP, 2024.

    [arXiv] [Code]

    SpA-Former: An Effective and lightweight Transformer for image shadow removal

    Xiaofeng Zhang, Yudi Zhao, Chaochen Gu

    International Joint Conference on Neural Networks, (IJCNN), 2023.

    [arXiv] [Code]

    Memory augment is All You Need for image restoration

    Xiaofeng Zhang, Chaochen Gu, Shanying Zhu

    [arXiv] [Code]

    Sienet: Siamese expansion network for image extrapolation

    Xiaofeng Zhang, Feng Chen, Cailing Wang

    IEEE Signal Processing Letters (SPL), 2021.

    [Paper] [Code]

    Awards

  • 2021 National Scholarship

  • Services



    Invited Reviewer for:
  • TIP, TETCI, IPM
  • CVPR, ICLR, ICCV, IJCAI, IJCNN