Yu Ding

Assistant Professor
Okayama Prefectural University

I am an Assistant Professor in the Faculty of Computer Science and Systems Engineering at Okayama Prefectural University, affiliated with the Mathematical Information and Media Engineering Laboratory (数理情報メディア工学研究室). I received my Ph.D. in Mathematics and Informatics from the University of Toyama in 2026, under the supervision of Prof. Chao Zhang.

Previously, I received my M.S. in Software Engineering from Harbin University of Science and Technology in 2021 and my B.S. in Animal Science and Technology from Northeast Agricultural University in 2018.

My research interests include deep learning, representation learning, and multi-view learning.

Email/Google Scholar

News

10/2026I joined Okayama Prefectural University as an Assistant Professor.
09/2026I completed my Ph.D. at the University of Toyama.

Publications

My research focuses on learning representations across multiple views. For citation information, please visit my Google Scholar profile.

Journal Articles & International Conferences

Journal2025

Learning to Discriminate While Contrasting: Combating False Negative Pairs with Coupled Contrastive Learning for Incomplete Multi-View Clustering

Yu Ding, Katsuya Hotta, Chunzhi Gu, Ao Li, Jun Yu, Chao Zhang

IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 10, pp. 6046-6060, 2025.

Paper

Journal2024

A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization

Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang

Knowledge-Based Systems, vol. 286, pp. 111442, 2024.

Paper

Journal2020

Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment

Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

Complexity, vol. 2020, pp. 1-14, 2020.

Paper

Journal2020

Cross-View Feature Learning via Structures Unlocking Based on Robust Low-Rank Constraint

Ao Li, Yu Ding, Deyun Chen, Guanglu Sun, Hailong Jiang, Qidi Wu

IEEE Access, vol. 8, pp. 46851-46860, 2020.

Paper

Conference2025

Multi-view Clustering via Self-aware Contrastive Attention Fusion

Yu Ding, Katsuya Hotta, Chunzhi Gu, Takuya Akashi, Chao Zhang

18th International Conference on Machine Vision (ICMV), 2025.

Conference2025

Boosting High-Resolution 3D Point Cloud Anomaly Detection with Geometric Constraints

Zi Wang, Katsuya Hotta, Yawen Zou, Yu Ding, Chao Zhang, Jun Yu

18th International Conference on Machine Vision (ICMV), 2025.

Conference2025

Dynamically Adaptive Negative Pairs for Contrastive Multi-View Clustering

Yu Ding, Koichiro Kamide, Jun Yu, Chao Zhang

17th International Conference on Quality Control by Artificial Vision (QCAV), 2025.

Best Paper Award

Conference2025

Improving Subspace Clustering by Combining Self-Expressive and Greedy Models

Zi Wang, Katsuya Hotta, Yu Ding, Ryusuke Takada, Chao Zhang, Jun Yu

17th International Conference on Quality Control by Artificial Vision (QCAV), 2025.

Conference2025

Fish Freshness Classification in Low-Light Environments via Segmentation Guidance, 17th International Conference on Knowledge and Smart Technology (KST), 2025

Daichi Kato, Yu Ding, Chao Zhang, Shogo Tokai, Chunzhi Gu

ish Freshness Classification in Low-Light Environments via Segmentation Guidance, 17th International Conference on Knowledge and Smart Technology (KST), 2025.

Conference2025

Accelerating Surrogate-Assisted Multi-Objective Evolutionary Optimization via a Dynamic Surrogate Model with Archive Updating, 17th International Conference on Knowledge and Smart Technology (KST), 2025

Zi Wang, Yu Ding, Yawen Zou, Chao Zhang, Jun Yu

ccelerating Surrogate-Assisted Multi-Objective Evolutionary Optimization via a Dynamic Surrogate Model with Archive Updating, 17th International Conference on Knowledge and Smart Technology (KST), 2025.

Conference2020

Discriminative Subspace Learning for Cross-view Classification with Simultaneous Local and Global Alignment

Ao Li, Yu Ding, Deyun Chen, Guanglu Sun, Hailong Jiang

Neural Computing for Advanced Applications (NCAA), 2020.

Conference2020

Joint Cross-view Heterogeneous Discriminative Subspace Learning via Low-rank Representation

Yu Ding, Ao Li, Kezheng Lin, Xin Liu

13th EAI International Conference on Mobile Multimedia Communications, (MOBIMEDIA), 2020.

Domestic Conferences

A Study on Logical Anomaly Detection Based on First-Person Video
IEEJ Industry Applications Society Conference, 2026. (Title translated from Japanese.)

Reducing Redundancy for View-Decoupled Representation in Multi-View Clustering
Yu Ding, Chunzhi Gu, Chao Zhang.
IEEJ Electronics, Information and Systems Society Conference, OS4-2-6, 2025.

A Cross-View Re-Alignment Approach for Incomplete Multi-View Contrastive Clustering
Yu Ding, Katsuya Hotta, Chunzhi Gu, Jun Yu, Chao Zhang.
IEEJ Electronics, Information and Systems Society Conference, OS4-1-4, 2024.

Education

2024 – 2026: University of Toyama
Ph.D. in Mathematics and Informatics
2018 – 2021: Harbin University of Science and Technology
M.S. in Software Engineering
2014 – 2018: Northeast Agricultural University
B.S. in Animal Science and Technology

Awards

Best Paper Award, QCAV 2025
Yu Ding, Koichiro Kamide, Jun Yu, Chao Zhang.
Dynamically Adaptive Negative Pairs for Contrastive Multi-View Clustering.