| 2026 | AAAI | Adaptive Riemannian Graph Neural Networks. | Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan |
| 2025 | ICASSP | Multi-view Subspace Classification: A Hierarchical Contrastive Approach and Low-rank Latent Representation. | Deyu Zeng, Tengyu Zhang, Zongze Wu, Wei Liu, Chris Ding |
| 2025 | ICASSP | Learning Class Unique Features in Fine-Grained Visual Classification. | Runkai Zheng, Li Liu, Zhijia Yu, Yinqi Zhang, Hei Victor Cheng, Chris Ding |
| 2025 | ICDM | Effective and Efficient Similarity Search for DNA Sequences Through de Bruijn Sum Graph Embedding. | Zhaochong Yu, Zihang Yang, Chris Ding, Chao Zeng, Feijuan Huang, Yuanzhe Cai |
| 2025 | IJCAI | Explainable Graph Representation Learning via Graph Pattern Analysis. | Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan |
| 2024 | AAAI | Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. | Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu |
| 2024 | ICLR | Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. | Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding |
| 2024 | ICML | Learning Graph Representation via Graph Entropy Maximization. | Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan |
| 2023 | MICCAI | MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. | Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou |
| 2022 | ICONIP | Data Representation and Clustering with Double Low-Rank Constraints. | Haoming He, Deyu Zeng, Chris Ding, Zongze Wu |
| 2019 | AAAI | A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. | Di Ming, Chris Ding, Feiping Nie |
| 2019 | IJCAI | Robust Flexible Feature Selection via Exclusive L21 Regularization. | Di Ming, Chris Ding |
| 2018 | ECCV | Transductive Semi-Supervised Deep Learning Using Min-Max Features. | Weiwei Shi, Yihong Gong, Chris Ding, Zhiheng Ma, Xiaoyu Tao, Nanning Zheng |
| 2017 | CVPR | Binary Constraint Preserving Graph Matching. | Bo Jiang, Jin Tang, Chris Ding, Bin Luo |
| 2003 | AISTATS | Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks. | Chris Ding |