Portrait of Yu Duan
Yu Duan
Assistant Professor @Xidian University logo Assistant Professor @Xidian University

Hi there! My name is Yu Duan (段昱), an Assistant Professor at Xidian University. My research interests focus on clustering, semi-supervised learning, representation learning. I'm also deeply interested in guitar🎸, motorcycle🏍️, and photography📷.

Portrait of Yu Duan
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Education
  • Northwestern Polytechnical University
    Ph.D. in Computer Science
    Mar. 2021 - Dec. 2024
  • Northwestern Polytechnical University
    M.S. in Computer Science
    Sep. 2018 - Mar. 2021
  • Hefei University of Technology
    B.S. in Electronic Engineering
    Sep. 2014 - Jul. 2018
Experience
  • Xidian University
    Assistant Professor
    Mar. 2025 - present
Latest News
May 16, 2026
🍁🍁One paper has been accepted by KDD.
Feb 21, 2026
🍁🍁One paper has been accepted by CVPR.
Nov 08, 2025
🍁🍁Two papers have been accepted by AAAI.
Oct 17, 2025
🍁🍁One paper has been accepted by TMM.
Sep 10, 2025
🍁🍁Two papers have been accepted by ICDM.
View All News
Selected Publications (view all )
SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models
SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models

Zhanxuan Hu, Qiyu Xu, Yu Duan*, Yonghang Tai, Huafeng Li (* corresponding author)

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Paper] [Code] [BibTex] [Dataset]

SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models

Zhanxuan Hu, Qiyu Xu, Yu Duan*, Yonghang Tai, Huafeng Li (* corresponding author)

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Paper] [Code] [BibTex] [Dataset]

Learning Intrinsic Hierarchy for Generalized Category Discovery
Learning Intrinsic Hierarchy for Generalized Category Discovery

Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang, Quanxue Gao

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2026

[Paper] [Code] [BibTex]

Learning Intrinsic Hierarchy for Generalized Category Discovery

Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang, Quanxue Gao

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2026

[Paper] [Code] [BibTex]

Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery
Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery

Yu Duan, Feiping Nie, Huimin Chen, Zhanxuan Hu*, Rong Wang, Xuelong Li (* corresponding author)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2025

[Paper] [Code] [BibTex]

Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery

Yu Duan, Feiping Nie, Huimin Chen, Zhanxuan Hu*, Rong Wang, Xuelong Li (* corresponding author)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2025

[Paper] [Code] [BibTex]

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention
A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention

Qiyu Xu, Zhanxuan Hu, Yu Duan*, Ercheng Pei, Yonghang Tai (* corresponding author)

International Conference on Computer Vision (ICCV) 2025

[Paper] [Code] [BibTex]

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention

Qiyu Xu, Zhanxuan Hu, Yu Duan*, Ercheng Pei, Yonghang Tai (* corresponding author)

International Conference on Computer Vision (ICCV) 2025

[Paper] [Code] [BibTex]

Soft Neighbors Supported Contrastive Clustering
Soft Neighbors Supported Contrastive Clustering

Yu Duan, Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie*, Xuelong Li (* corresponding author)

IEEE Transactions on Image Processing (TIP) 2025

[Paper] [Code] [BibTex]

Soft Neighbors Supported Contrastive Clustering

Yu Duan, Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie*, Xuelong Li (* corresponding author)

IEEE Transactions on Image Processing (TIP) 2025

[Paper] [Code] [BibTex]

Toward Balance Deep Semisupervised Clustering
Toward Balance Deep Semisupervised Clustering

Yu Duan, Zhoumin Lu, Rong Wang, Xuelong Li, Feiping Nie* (* corresponding author)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024

[Paper] [Code] [BibTex]

Toward Balance Deep Semisupervised Clustering

Yu Duan, Zhoumin Lu, Rong Wang, Xuelong Li, Feiping Nie* (* corresponding author)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024

[Paper] [Code] [BibTex]

All publications