Ding, Chris

17 publications

IJCAI 2025 Explainable Graph Representation Learning via Graph Pattern Analysis Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan

ICML 2024 Learning Graph Representation via Graph Entropy Maximization Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan

AAAI 2024 Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu

ICLR 2024 Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding

NeurIPS 2023 Federated Spectral Clustering via Secure Similarity Reconstruction Dong Qiao, Chris Ding, Jicong Fan

NeurIPS 2023 Lovász Principle for Unsupervised Graph Representation Learning Ziheng Sun, Chris Ding, Jicong Fan

AAAI 2019 A Probabilistic Derivation of LASSO and L12-Norm Feature Selections Di Ming, Chris Ding, Feiping Nie

IJCAI 2019 Robust Flexible Feature Selection via Exclusive L21 Regularization Di Ming, Chris Ding

ECCV 2018 Transductive Semi-Supervised Deep Learning Using Min-Max Features Weiwei Shi, Yihong Gong, Chris Ding, Zhiheng MaXiaoyu Tao, Nanning Zheng

CVPR 2017 Binary Constraint Preserving Graph Matching Bo Jiang, Jin Tang, Chris Ding, Bin Luo

NeurIPS 2017 Graph Matching via Multiplicative Update Algorithm Bo Jiang, Jin Tang, Chris Ding, Yihong Gong, Bin Luo

NeurIPS 2014 Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-Norm Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris Ding

CVPR 2013 Graph-Laplacian PCA: Closed-Form Solution and Robustness Bo Jiang, Chris Ding, Bio Luo, Jin Tang

CVPR 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine Hua Wang, Feiping Nie, Heng Huang, Chris Ding

ICCV 2013 Robust Tucker Tensor Decomposition for Effective Image Representation Miao Zhang, Chris Ding

AISTATS 2003 Document Retrieval and Clustering: From Principal Component Analysis to Self-Aggregation Networks Chris Ding

NeurIPS 2001 Spectral Relaxation for K-Means Clustering Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu, Horst D. Simon