Runzhong Wang - RankMe

54 papers A* 25Misc 2Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative structural elucidation from mass spectra as an iterative optimization problem. CoRR Mrunali Manjrekar, Runzhong Wang, Samuel Goldman, Jenna C. Fromer, Connor W. Coley
2025	J	`jnl`	Batched Bayesian Optimization by Maximizing the Probability of Including the Optimum. J. Chem. Inf. Model. Jenna C. Fromer, Runzhong Wang, Mrunali Manjrekar, Austin Tripp, José Miguel Hernández-Lobato, Connor W. Coley
2025	A*	`conf`	DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra. ICML Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley
2025	J	`jnl`	DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra. CoRR Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley
2025	J	`jnl`	Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. CoRR Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
2025	A*	`conf`	Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning. ICML Runzhong Wang, Rui-Xi Wang, Mrunali Manjrekar, Connor W. Coley
2025	J	`jnl`	Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning. CoRR Runzhong Wang, Rui-Xi Wang, Mrunali Manjrekar, Connor W. Coley
2025	J	`jnl`	On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles. CoRR Ziang Chen, Qiao Zhang, Runzhong Wang
2025	J	`jnl`	Optimization of Robotic Liquid Handling as a Capacitated Vehicle Routing Problem. CoRR Guangqi Wu, Runzhong Wang, Connor W. Coley
2025	A*	`conf`	Unified and Generalizable Reinforcement Learning for Facility Location Problems on Graphs. WWW Wenxuan Guo, Runzhong Wang, Yanyan Xu, Yaohui Jin
2025	A*	`conf`	Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search. ICLR Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan
2024	J	`jnl`	Batched Bayesian optimization with correlated candidate uncertainties. CoRR Jenna C. Fromer, Runzhong Wang, Mrunali Manjrekar, Austin Tripp, José Miguel Hernández-Lobato, Connor W. Coley
2024	A*	`conf`	Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime. NeurIPS Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
2024	A*	`conf`	Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search. NeurIPS Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley
2024	J	`jnl`	Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search. CoRR Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley
2024	A*	`conf`	Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. NeurIPS Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
2024	Misc	`conf`	GMTR: Graph Matching Transformers. ICASSP Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
2024	—	`conf`	LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang. ECCV (75) Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu
2024	J	`jnl`	Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks. CoRR Runzhong Wang, Yang Li, Junchi Yan, Xiaokang Yang
2024	J	`jnl`	LinSATNet: The Positive Linear Satisfiability Neural Networks. CoRR Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
2024	A*	`conf`	MixSATGEN: Learning Graph Mixing for SAT Instance Generation. ICLR Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
2024	J	`jnl`	Pygmtools: A Python Graph Matching Toolkit. J. Mach. Learn. Res. 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
2024	A*	`conf`	Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. WWW Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
2023	J	`jnl`	Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. Runzhong Wang, Junchi Yan, Xiaokang Yang
2023	A*	`conf`	Deep Learning of Partial Graph Matching via Differentiable Top-K. CVPR Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan
2023	A*	`conf`	From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization. NeurIPS Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan
2023	A*	`conf`	GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan
2023	J	`jnl`	GMTR: Graph Matching Transformers. CoRR Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
2023	J	`jnl`	InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation. Int. J. Comput. Vis. Jianhua Sun, Haoshu Fang, Yuxuan Li, Runzhong Wang, Minghao Gou, Cewu Lu
2023	A*	`conf`	LinSATNet: The Positive Linear Satisfiability Neural Networks. ICML Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
2023	Misc	`conf`	MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. ICASSP Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan
2023	A*	`conf`	ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
2023	J	`jnl`	Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. CoRR Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
2023	J	`jnl`	Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems. CoRR Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
2023	A*	`conf`	Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan
2023	A*	`conf`	Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
2023	J	`jnl`	Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. IEEE Trans. Pattern Anal. Mach. Intell. Runzhong Wang, Junchi Yan, Xiaokang Yang
2022	A*	`conf`	Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. CVPR Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan
2022	A*	`conf`	Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. ICML Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan
2022	J	`jnl`	Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang
2022	J	`jnl`	Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. Runzhong Wang, Junchi Yan, Xiaokang Yang
2021	A*	`conf`	A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. NeurIPS Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
2021	J	`jnl`	A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. CoRR Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
2021	A*	`conf`	Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
2021	A*	`conf`	Deep Latent Graph Matching. ICML Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
2020	J	`jnl`	Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
2020	J	`jnl`	Deep Reinforcement Learning of Graph Matching. CoRR Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan
2020	A*	`conf`	Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning. NeurIPS Runzhong Wang, Junchi Yan, Xiaokang Yang
2020	A*	`conf`	Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
2019	A*	`conf`	InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. ICCV Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu
2019	J	`jnl`	InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. CoRR Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu
2019	A*	`conf`	Learning Combinatorial Embedding Networks for Deep Graph Matching. ICCV Runzhong Wang, Junchi Yan, Xiaokang Yang
2019	J	`jnl`	Learning Combinatorial Embedding Networks for Deep Graph Matching. CoRR Runzhong Wang, Junchi Yan, Xiaokang Yang
2019	J	`jnl`	Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching. CoRR Runzhong Wang, Junchi Yan, Xiaokang Yang