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B. Eng @ JNU
MS @ ECNU
Researcher @ Bytedance
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 work as a Researcher at Tencent Music Entertainment (TME), SenseTime, Tencent, Xiaohongshu.

News

  • May, 2024: One paper has accepted by Neurocomputing.
  • May, 2024: One paper about Math and LLM has accepted by Findings of ACL2024
  • Mar, 2024: Our group has switched from AML-algorithm to Seed-Foundation-Model, focusing on a confidential project.
  • Feb, 2024: One paper about Chess and LLM will be available soon.
  • Oct, 2023: I've joined in AML, Bytedance as a research intern.
  • Sep, 2023: I've left Xiaohongshu and I'll start a new trip soon.
  • Nov, 2022: I feel so sorry that I've product an academic rubbish. It will be coming soon on the arxiv.
  • Aug, 2022: I've joined in Xiaohongshu to work as a research intern.
  • May, 2022: One paper has been accepted by ICML 2022.
  • Feb, 2022: Our team has submitted a new paper to ICML2022. It will be available soon.
  • Nov, 2021: Our new paper Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition has been available.
  • Mar, 2021: Our new research Learning Class Unique Features in Fine-Grained Visual Classification is available.
  • Aug, 2020: One ECCV paper has been accepted.

  • Publications ( Google Scholar Github )

    ChessLLM: LLM Can Learn Rules Through Chess Games
    Yinqi Zhang, Jie Chen, Xintian Han, Shaohui Lin†
    Pending, 2024
    [Pending]
    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†
    Findings of 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
    International Conference on Machine Learning (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]
    Learning Class Unique Features in Fine-Grained Visual Classification
    Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding† , Hei Victor Cheng, Li Liu
    arXiv preprint arxiv:2011.10951
    [pdf]
    Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing
    Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingling Chen†
    European Conference on Computer Vision (ECCV), 2020
    [pdf]

    Professional activities

    Research Interest

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

    Reviewer

    IEEE Access, ICML2022, NeurIPS2022, ECCV2022, NeurIPS2023, CVPR2023, ICML2024

    Friends