ABOUT ME

I’m currently a PhD student at University of Toyama (Japan). I received a master's degree in Software Engineering from Harbin university of science and technology and a bachelor's degree in Animal Science and Technology from Northeast Agricultural University (China) in 2021 and 2018, respectively. 

RESEARCH INTEREST

Deep learning, Representation learning, Multi-view learning, etc.

LANGUAGE SKILLS

IELTS 6

JLPT n2

Publications

Pre-prints:

[J1] Yu Ding, Katsuya Hotta, Chunzhi Gu, Ao Li, Jun Yu, Chao Zhang. Learning to Discriminate While Contrasting: Combating False Negative Pairs with Coupled Contrastive Learning for Incomplete Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. (accepted)

Journal:

[J3] Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang. A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization. Knowledge-Based Systems, vol. 286, pp. 111442, 2024. [pdf] 

[J2] Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin. Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment. Complexity, vol. 2020, pp. 1-14, 2020. [pdf]

[J1] Ao Li, Yu Ding, Deyun Chen, Guanglu Sun, Hailong Jiang, Qidi Wu. Cross-View Feature Learning via Structures Unlocking Based on Robust Low-Rank Constraint. IEEE Access, vol. 8, pp. 46851-46860, 2020. [pdf]

Conference:

[C7] Zi Wang, Katsuya Hotta, Yawen Zou, Yu Ding, Chao Zhang, Jun Yu. Boosting High-Resolution 3D Point Cloud Anomaly Detection with Geometric Constraints. 18th International Conference on Machine Vision (ICMV), 2025.

[C6] Yu Ding, Koichiro Kamide, Jun Yu, Chao Zhang. Dynamically Adaptive Negative Pairs for Contrastive Multi-View Clustering. 15th International Conference on Quality Control by Artificial Vision (QCAV), 2025.

[C5] Zi Wang, Katsuya Hotta, Yu Ding, Ryusuke Takada, Chao Zhang, Jun Yu. Improving Subspace Clustering by Combining Self-Expressive and Greedy Models. 15th International Conference on Quality Control by Artificial Vision (QCAV), 2025.

[C4] Daichi Kato, Yu Ding, Chao Zhang, Shogo Tokai, Chunzhi Gu. Fish Freshness Classification in Low-Light Environments via Segmentation Guidance, 17th International Conference on Knowledge and Smart Technology (KST), 2025.

[C3] Zi Wang, Yu Ding, Yawen Zou, Chao Zhang, Jun Yu. 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.

[C2] Ao Li, Yu Ding, Deyun Chen, Guanglu Sun, Hailong Jiang. Discriminative Subspace Learning for Cross-view Classification with Simultaneous Local and Global Alignment. Neural Computing for Advanced Applications (NCAA), 2020.

[C1] Yu Ding, Ao Li, Kezheng Lin, Xin Liu. Joint Cross-view Heterogeneous Discriminative Subspace Learning via Low-rank Representation. 13th EAI International Conference on Mobile Multimedia Communications, (MOBIMEDIA), 2020.

Domestic Conference:

[C1] Yu Ding, Katsuya Hotta, Chunzhi Gu, Jun Yu, Chao Zhang, A Cross-View Re-Alignment Approach for Incomplete Multi-View Contrastive Clustering, 電気学会電子・情報・システム部門大会, OS4-1-4, 2024

Award:

[A1] Yu Ding, Koichiro Kamide, Jun Yu, Chao Zhang. Dynamically Adaptive Negative Pairs for Contrastive Multi-View Clustering. 15th International Conference on Quality Control by Artificial Vision (QCAV), 2025. (Best paper award)