👨‍🎓Profile

I am currently a Ph.D. student at Southeast University, under the supervision of Assoc. Prof. Yuheng Jia. I received my M.S. degree from Henan University in 2023, under the supervision of Prof. Chongsheng Zhang. Before that, I obtained my Bachelor’s degree in 2020 from Henan Institute of Engineering. My research interests lie in machine learning, with a focus on long-tailed learning and weakly supervised learning.


🔥News

🎉 [2025.11] Our work "DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning" is accepted by AAAI 2026! Paper Codes
🎉 [2025.10] Win National Scholarship for Ph.D. Student!
🎉 [2025.09] Our work "Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning" is accepted by NeurIPS 2025! Paper Codes
🎉 [2025.05] Our work "A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning" is accepted by ICML 2025! Paper Codes

📝Publications

Papers are listed below, in descending order by year of submission before they are published, or year of publication. Generally, the codes of all the papers will be available. For the full list, please refer to my google scholar page: Google Scholar.

Conference Papers

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[AAAI 2026] DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning.
Bo Han, Zhuoming Li, Xiaoyu Wang, Yaxin Hou, Hui Liu, Junhui Hou, Yuheng Jia.
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[NeurIPS 2025] Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning.
Yaxin Hou, Bo Han, Yuheng Jia, Hui Liu, Junhui Hou.
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[ICML 2025] A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning.
Yaxin Hou, Yuheng Jia.
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[AAAI 2023] Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data.
Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu.

Journal Papers

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[Inf. Sci. 2024] imFTP: Deep imbalance learning via fuzzy transition and prototypical learning.
Yaxin Hou, Weiping Ding, Chongsheng Zhang.

👨‍💻Professional Services

  • Conference Reviewer/Program Committee Member
    • The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
    • The Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
    • The IEEE International Symposium on Machine Learning and Media Computing (MLMC), 2025.
  • Journal Reviewer
    • International Journal of Machine Learning and Cybernetics (IJMLC).

📧Contact

Room 1009, Liberal Arts Building Building. School of Computer Science and Engineering.