I am currently a Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, supervised by Wanhua Li. I received my Ph.D. from the School of Software, Shandong University, in June 2026, supervised by Prof. Xin-Shun Xu and Zhen-Duo Chen. In 2022, I received my B.S. degree from the School of Software, Shandong University. My research interest includes Incremental Learning, Few-Shot Learning, and Fine-Grained Image Analysis.

🔥 News

  • 2026.08:  🎉🎉 One paper is accepted by TPAMI.
  • 2026.04:  🎉🎉 One paper is accepted by TMLR.
  • 2026.02:  🎉🎉 One paper is accepted by CVPR 2026.
  • 2026.02:  🎉🎉 One paper is accepted by SSI.
  • 2025.09:  🎉🎉 One paper is accepted by NeurIPS 2025.
  • 2025.02:  🎉🎉 One paper is accepted by CVPR 2025.
  • 2024.05:  🎉🎉 One paper is accepted by TIP.

📝 Publications

TPAMI
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Shared Latent Characteristic Anchored Hash Codes Generation for Efficient Fine-grained Image Retrieval

Zhen-Duo Chen*, Li-Jun Zhao*, Yongxin Wang, Yu-Wei Zhan, Xiao-Qian Liu, Xin Luo, Xin-Shun Xu.

Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (* Equal contribution)

TMLR
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Hierarchical Filtering and Refinement Classification for Few-Shot Class-Incremental Learning

Li-Jun Zhao, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu.

Transactions on Machine Learning Research (TMLR), 2026. (J2C Certification)

CVPR 2026
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From Few-way to Many-way: Rethinking Few-shot Fine-grained Image Classification

Li-Jun Zhao, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

SSI
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Progressively exploring and exploiting inference data to break fine-grained classification barriers

Li-Jun Zhao, Si-Yuan Zhang, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu.

SCIENTIA SINICA Informationis (SSI) (In Chinese), 2026.

NeurIPS 2025
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Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning

Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu.

Advances in Neural Information Processing Systems (NeurIPS), 2025.

CVPR 2025
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Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning

Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

TIP
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Angular Isotonic Loss Guided Multi-Layer Integration for Few-shot Fine-grained Image Classification

Li-Jun Zhao, Zhen-Duo Chen, Zhen-Xiang Ma, Xin Luo, Xin-Shun Xu.

IEEE Transactions on Image Processing (TIP), 2024.

🎖 Honors and Awards

  • 2025: BYD Scholarship, Shandong University.
  • 2020, 2021, 2022, 2024, 2025: First Class of Academic Scholarship, Shandong University.
  • 2024: Outstanding Award for Medium-term Evaluation, Shandong University.
  • 2022: Outstanding Graduate, Shandong Province.
  • 2020, 2021: Excellent Student Cadre, Shandong University.
  • 2020: National scholarship, China.
  • 2020: First Prize in the China Undergraduate Mathematical Contest in Modeling, Shandong Province.
  • 2019: First Prize in the National College Student Mathematics Competition, China.

💻 Professional Activities

Conference Reviewer

ICML · CVPR · ECCV · AAAI · MM · etc.

Journal Reviewer

TCSVT · NN · TOMM · TAI · etc.