← Authors

Chris Ding

21 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (35) 🌱 Topic Pioneer πŸ† Grand Slam πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (72) πŸ“ˆ Trend Setter πŸ’Ž Century Club (20) ⚑ Prolific Year (7)

Conferences

IJCAI (7) NIPS (4) AAAI (3) CVPR (3) ECCV (1) ICCV (1) ICLR (1) ICML (1)

Top co-authors

Feiping Nie (6) Jicong Fan (6) Heng Huang (5) Hua Wang (4) Bo Jiang (4) Xudong Wang (3) Jin Tang (3) Bin Luo (3) Ziheng Sun (3) Yihong Gong (2)

Keywords

graph neural network (4) feature selection (3) graph matching (2) sparse coding (2) graph representation learning (2) unsupervised learning (2) combinatorial optimization (2) imitation learning (1) bayesian inference (1) probabilistic modeling (1) principal component analysis (1) matrix factorization (1) convex optimization (1) sparse learning (1) representation learning (1) graph classification (1) sparse representation (1) graph laplacian (1) scene understanding (1) spectral clustering (1)

Papers

Adaptive Riemannian Graph Neural Networks AAAI 2026
Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025
Learning Graph Representation via Graph Entropy Maximization ICML 2024
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning AAAI 2024
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice ICLR 2024
LovΓ‘sz Principle for Unsupervised Graph Representation Learning NIPS 2023
Federated Spectral Clustering via Secure Similarity Reconstruction NIPS 2023
Robust Flexible Feature Selection via Exclusive L21 Regularization IJCAI 2019
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019
Transductive Semi-Supervised Deep Learning using Min-Max Features ECCV 2018
Binary Constraint Preserving Graph Matching CVPR 2017
Graph Matching via Multiplicative Update Algorithm NIPS 2017
Robust Out-of-Sample Data Recovery IJCAI 2016
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm NIPS 2014
Early Active Learning via Robust Representation and Structured Sparsity IJCAI 2013
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations IJCAI 2013
Social Trust Prediction Using Rank-k Matrix Recovery IJCAI 2013
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding IJCAI 2013
Robust Tucker Tensor Decomposition for Effective Image Representation ICCV 2013
Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine CVPR 2013