本サイトは2026年をもって更新を終了いたします。
今後は、以下の新しいウェブサイトをご覧ください。 https://yu-ding-2026.github.io/

学歴

2014年9月-2018年7月 東北農業大学　動物科学技術学部（中国　ハルビン）

2018年9月-2021年4月 ハルビン理工大学　計算機科学技術学研究科（中国　ハルビン）

2024年10月-2026年9月　富山大学　理工学研究科　博士後期課程

2026年10月‐現在　岡山県立大学　情報工学部　助教

キーワード

深層学習、表現学習、マルチビュー学習など

研究業績

プレプリント

論文

[J4] 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, vol. 37, no. 10, pp. 6046-6060, 2025. [pdf]

[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]

国際会議

[C8] Yu Ding, Katsuya Hotta, Chunzhi Gu, Takuya Akashi, Chao Zhang. Multi-view Clustering via Self-aware Contrastive Attention Fusion. 18th International Conference on Machine Vision (ICMV), 2025.

[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. 17th 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. 17th 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.

国内会議

[C3] 丁宇，黄耀霆，顧淳祉，張潮，一人称視点映像に基づく論理的異常検知に関する検討, 電気学会産業応用部門大会, 2026. (NR_O)

[C2] Yu Ding, Chunzhi Gu, Chao Zhang. Reducing Redundancy for View-Decoupled Representation in Multi-View Clustering, 電気学会電子・情報・システム部門大会, OS4-2-6, 2025.

[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.

受賞

[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)