Runzhong Wang

24 papers · 2019–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Keyword Champion (2) 🤝 Dynamic Duo (20) 👑 Triple Crown ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🌈 Renaissance Researcher (5) 🗃️ Keyword Collector (110)

Venues

ICLR (6) NeurIPS (6) ICML (5) CVPR (3) ICCV (2) ECCV (1) JMLR (1)

Top co-authors

Junchi Yan (20) Xiaokang Yang (9) Yang Li (5) Connor W. Coley (3) Ziao Guo (3) Tianshu Yu (3) Chang Liu (3) Mrunali Manjrekar (2) Zetian Jiang (2) Haoyu Geng (2)

Research topics

Machine Learning (20) Deep Learning (13) Core Methods (11) Mathematics & Optimization (9) Architectures (8) Optimization (8) Artificial Intelligence (6) Learning Types (6) Optimization & Theory (6) Computer Science (5) Application Areas (5) Core AI (5) Foundations (5) Computer Vision (4) Models (4)

Keywords

graph matching (10) combinatorial optimization (7) neural network (5) graph neural network (4) diffusion model (3) maximal independent set (2) optimal transport (2) adversarial attack (2) graph edit distance (2) deep learning (2) neural graph matching (2) traveling salesman problem (2) gradient descent (2) travelling salesman problem (2) node correspondence (2) supervised learning (2) attention mechanism (1) self-supervised learning (1) feature learning (1) boolean satisfiability (1)

Papers

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra ICML 2025 Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning ICML 2025 Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search ICLR 2025 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NeurIPS 2024 Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search NeurIPS 2024 Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NeurIPS 2024 LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang ECCV 2024 MixSATGEN: Learning Graph Mixing for SAT Instance Generation ICLR 2024 Pygmtools: A Python Graph Matching Toolkit JMLR 2024 Deep Learning of Partial Graph Matching via Differentiable Top-K CVPR 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs ICLR 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NeurIPS 2023 Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case ICLR 2023 Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond CVPR 2022 Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning ICML 2022 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NeurIPS 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021 Deep Latent Graph Matching ICML 2021 Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning NeurIPS 2020 Learning deep graph matching with channel-independent embedding and Hungarian attention ICLR 2020 InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting ICCV 2019 Learning Combinatorial Embedding Networks for Deep Graph Matching ICCV 2019