INCH ZHANG（张印祺）
Profile Picture
BS @ JNU
MS @ ECNU
Email: a=inch b=zhang b[dot]a[at]gmail[dot]com

INCH ZHANG（张印祺）

I am a computer science Master at the East China Normal University and supervised by Prof.Shaohui Lin. I get my Bachlor degree from Jinan University and supervised by Prof. Qingliang Chen. I worked as a Researcher at Tencent Music Entertainment (TME), SenseTime, Tencent, Xiaohongshu and ByteDance .

News

  • Jan, 2025: One paper has accepted by NAACL2025.
  • Dec, 2024: One paper has accepted by ICASSP2025.
  • May, 2024: One paper has accepted by Neurocomputing.
  • May, 2024: One paper has accepted by ACL2024
  • Mar, 2024: Our group has switched from AML-algorithm to Seed-Foundation-Model.
  • Oct, 2023: I've joined in AML, Bytedance as a research intern.
  • Aug, 2022: I've joined in Xiaohongshu to work as a research intern.
  • May, 2022: One paper has accepted by ICML2022.
  • Nov, 2021: Our new paper Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition has been available.
  • Aug, 2020: One paper has accepted by ECCV2020.

    • Publications ( Google Scholar Github )

    Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences
    Kedi Chen, Zhikai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang†
    Preprint, 2025
    [pdf]
    Complete Chess Games Enable LLM Become A Chess Master
    Yinqi Zhang, Xintian Han, Haolong Li, Kedi Chen, Shaohui Lin†
    NAACL, 2025
    [pdf]
    Learning Class Unique Features in Fine-Grained Visual Classification
    Runkai Zheng, Li Liu, Zhijia Yu, Yinqi Zhang, Chris Ding† , Hei Victor Cheng
    ICASSP, 2025
    [pdf]
    Kronecker Reparameterized Large Kernel for Image Compressed Sensing
    Lingfu Jiang, Fuhai Chen, Yinqi Zhang, Jiao Xie, Gaoqi He, Wei Li, Jie Hu, Shaohui Lin†
    Pending, 2024
    [Pending]
    Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data
    Haolong Li, Yu Ma, Yinqi Zhang, Jie Chen†, Chen Ye†
    ACL, 2024
    [pdf]
    SegCFT: Context-aware Fourier Transform for Efficient Semantic Segmentation
    Yinqi Zhang*, Lingfu Jiang*, Fuhai Chen, Jiao Xie, Baochang Zhang, Gaoqi He, Shaohui Lin†
    Neurocomputing, 2024
    [pdf]
    Self-supervised Models are Good Teaching Assistants for Vision Transformers
    Haiyan Wu*, Yuting Gao*, Yinqi Zhang, Shaohui Lin† , Yuan Xie† , Xing Sun, Ke Li
    ICML, 2022
    [pdf]
    Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition
    Zhenxin Wu, Qingliang Chen† , Yifeng Liu, Yinqi Zhang, Chengkai Zhu, Yang Yu
    arXiv preprint arXiv:2112.04223
    [pdf]
    Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing
    Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingling Chen†
    ECCV, 2020
    [pdf]

    Professional activities

    Research Interest

    LLM-RLHF, Semantic Segmention, Knowledge Distillation, Compress Sensing, FGVC

    Reviewer

    TMM, ICML2022-2025, NeurIPS2022-2024, ECCV2022, CVPR2023-2025, ACL ARR

    Friends