ML Anthology

Wang, Runzhong

23 publications

ICML 2025 DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley
NeurIPS 2025 Generation as Search Operator for Test-Time Scaling of Diffusion-Based Combinatorial Optimization Yang Li, Lvda Chen, Haonan Wang, Runzhong Wang, Junchi Yan
ICML 2025 Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning Runzhong Wang, Rui-Xi Wang, Mrunali Manjrekar, Connor W. Coley
ICLR 2025 Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan
NeurIPS 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
NeurIPS 2024 Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley
NeurIPS 2024 Fast T2T: Optimization Consistency Speeds up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
ECCV 2024 LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu
ICLR 2024 MixSATGEN: Learning Graph Mixing for SAT Instance Generation Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
MLOSS 2024 Pygmtools: A Python Graph Matching Toolkit Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan
CVPR 2023 Deep Learning of Partial Graph Matching via Differentiable Top-K Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan
ICML 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
ICLR 2023 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
ICLR 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan
NeurIPS 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan
ICLR 2023 Towards One-Shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
CVPR 2022 Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan
ICML 2022 Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan
NeurIPS 2021 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
CVPR 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
ICML 2021 Deep Latent Graph Matching Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
NeurIPS 2020 Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning Runzhong Wang, Junchi Yan, Xiaokang Yang
ICLR 2020 Learning Deep Graph Matching with Channel-Independent Embedding and Hungarian Attention Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li