Runzhong Wang
24 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
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ICLR (6)
NIPS (6)
ICML (5)
CVPR (3)
ICCV (2)
ECCV (1)
JMLR (1)
Top co-authors
Keywords
graph matching
(8)
combinatorial optimization
(4)
neural network
(4)
deep learning
(2)
gradient descent
(2)
graph neural network
(2)
graph edit distance
(2)
diffusion model
(2)
node correspondence
(2)
maximal independent set
(2)
traveling salesman problem
(2)
heuristic search
(1)
feature extraction
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model fusion
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instance segmentation
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feature learning
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unsupervised learning
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supervised learning
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machine learning
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data augmentation
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Papers
Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search
ICLR 2025
Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
ICML 2025
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra
ICML 2025
LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang
ECCV 2024
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
NIPS 2024
MixSATGEN: Learning Graph Mixing for SAT Instance Generation
ICLR 2024
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
NIPS 2024
Pygmtools: A Python Graph Matching Toolkit
JMLR 2024
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
NIPS 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks
ICML 2023
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
NIPS 2023
Deep Learning of Partial Graph Matching via Differentiable Top-K
CVPR 2023
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
ICLR 2023
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
ICLR 2023
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
ICLR 2023
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
ICML 2022
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond
CVPR 2022
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
NIPS 2021
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
CVPR 2021
Deep Latent Graph Matching
ICML 2021
Learning deep graph matching with channel-independent embedding and Hungarian attention
ICLR 2020
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning
NIPS 2020
Learning Combinatorial Embedding Networks for Deep Graph Matching
ICCV 2019
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
ICCV 2019