Chris Ding
21 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (15)
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(35)
π±
Topic Pioneer
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(72)
π
Trend Setter
π
Century Club
(20)
β‘
Prolific Year
(7)
Conferences
IJCAI (7)
NIPS (4)
AAAI (3)
CVPR (3)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
Top co-authors
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