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Jiacong Hu (胡佳聪)

Ph.D. Student @VIPA Lab

Welcome to my homepage 👋! My name is Jiacong Hu, and I am currently a “Hundred Talents” Researcher at the National Key Laboratory of Blockchain and Data Security, Zhejiang University. I am also a member of the Visual Intelligence and Pattern Analysis Laboratory (VIPA Lab), working with Prof. Mingli Song and Associate Prof. Zunlei Feng. Prior to this, I received my Ph.D. from the College of Computer Science and Technology, Zhejiang University, under the supervision of Prof. Mingli Song.

My current research interests include model optimization, model evaluation, and model reuse and acquisition, covering areas such as explainable AI and trustworthy AI. The relationships among these topics are illustrated in the figure below. In particular, I focus on precise and efficient post-hoc optimization of deep models.

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I am also involved in research projects on AI for medical imaging and AI for wireless communications.

Outside of research, I enjoy photography 📷 and playing badminton 🏸.

News

Selected Publications

  1. Parameter Manifold Purification

    Jiacong Hu, Jinxun Wu, Zunlei Feng, Mingli Song
    International Conference on Computer Vision(ICCV, Underreview)2025
  2. Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks

    Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song
    Advances in Neural Information Processing Systems(NeurIPS)2024
  3. Transformer Doctor: Diagnosing and Treating Vision Transformers

    Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng
    Advances in Neural Information Processing Systems(NeurIPS)2024
  4. Vision Mamba Mender

    Jiacong Hu, Anda Cao, Zunlei Feng, Shengxuming Zhang, Yi Wang, Lingxiang Jia, Mingli Song
    Advances in Neural Information Processing Systems(NeurIPS)2024
  5. Association Pattern-aware Fusion for Biological Entity Relationship Prediction

    Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song
    Advances in Neural Information Processing Systems(NeurIPS)2024
  6. Improving Adversarial Robustness via Feature Pattern Consistency Constraint

    Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song
    Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence(IJCAI)2024
  7. Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing

    Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng
    Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence(IJCAI)2024
  8. Model doctor: A simple gradient aggregation strategy for diagnosing and treating cnn classifiers

    Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song
    Proceedings of the AAAI Conference on Artificial Intelligence(AAAI)2022
  9. A location constrained dual-branch network for reliable diagnosis of jaw tumors and cysts

    Jiacong Hu, Zunlei Feng, Yining Mao, Jie Lei, Dan Yu, Mingli Song
    Medical Image Computing and Computer Assisted Intervention(MICCAI)2021

Awards

Selected Projects

Comprehensive Multidimensional Evaluation of Deep Models

An online platform for comprehensive evaluation of deep learning model accuracy, robustness, fairness, and transferability.

June 20, 2024

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