Yu Duan

According to our database, Yu Duan authored at least 22 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Discriminative and noise-robust embedding for zero-shot learning.

Yu Lei, Cheng Deng, Yu Duan, Quanxue Gao, Junping Wang

Neural Networks, 2026

Probabilistic regression-based multi-view clustering with anchor graphs.

Yuxuan Liu, Qin Li, Guangyu Yang, Quanxue Gao, Yu Duan, Cheng Deng

Neurocomputing, 2026

Learning Intrinsic Hierarchy for Generalized Category Discovery.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery.

Yu Duan, Feiping Nie, Huimin Chen, Zhanxuan Hu, Rong Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., December, 2025

Toward Balance Deep Semisupervised Clustering.

Yu Duan, Zhoumin Lu, Rong Wang, Xuelong Li, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model.

Feiping Nie, Runxin Zhang, Yu Duan, Rong Wang

IEEE Trans. Knowl. Data Eng., February, 2025

Soft Neighbors Supported Contrastive Clustering.

Yu Duan, Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie, Xuelong Li

IEEE Trans. Image Process., 2025

Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline.

Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie

Neural Networks, 2025

Mutual-support generalized category discovery.

Yu Duan, Zhanxuan Hu, Rong Wang, Zhensheng Sun, Feiping Nie, Xuelong Li

Inf. Fusion, 2025

Fast multi-view clustering via anchor label transmit with tensor structure constraint.

Huimin Chen, Runxin Zhang, Yu Duan, Rong Wang, Feiping Nie

Expert Syst. Appl., 2025

Multi-view Clustering Based on Probabilistic Tensor Regression.

Yichen Bao, Yuxuan Liu, Yu Duan, Jing Li, Quanxue Gao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Anchor Label Guided Co-Clustering via Multi-Anchor Graphs Fusion.

Guangyu Yang, Xuhong Dong, Rui Wang, Quanxue Gao, Yu Duan

Proceedings of the IEEE International Conference on Data Mining, 2025

Balanced and Discrete Projection Collaborative Clustering with Probabilistic Regression.

Guangyu Yang, Yu Duan, Quanxue Gao, Jingjing Xue, Xuhong Dong

Proceedings of the IEEE International Conference on Data Mining, 2025

High-Quality Label Learning in Generalized Category Discovery.

Yu Duan, Junzhi He, Feiping Nie, Quanxue Gao, Cheng Deng

Proceedings of the IEEE International Conference on Data Mining, 2025

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

Qiyu Xu, Zhanxuan Hu, Yu Duan, Ercheng Pei, Yonghang Tai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Unsupervised Deep Embedding for Fuzzy Clustering.

Runxin Zhang, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Fuzzy Syst., December, 2024

Fuzzy Clustering From Subset-Clustering to Fullset-Membership.

Huimin Chen, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Fuzzy Syst., September, 2024

Prediction consistency regularization for Generalized Category Discovery.

Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie

Inf. Fusion, 2024

MaskRecon: High-quality human reconstruction via masked autoencoders using a single RGB-D image.

Xing Li, Yangyu Fan, Zhe Guo, Zhibo Rao, Yu Duan, Shiya Liu

Neurocomputing, 2024

Scalable and parameter-free fusion graph learning for multi-view clustering.

Yu Duan, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie

Neurocomputing, 2024

Harmonic cut: An efficient and directly solved balanced graph clustering.

Yu Duan, Feiping Nie, Rong Wang, Xuelong Li

Neurocomputing, 2024

New approach for learning structured graph with Laplacian rank constraint.

Yu Duan, Feiping Nie, Rong Wang, Xuelong Li

Neurocomputing, 2024