Runzhong Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

Top Topics

Reinforcement Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. WWW (2024)
Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
LinSATNet: The Positive Linear Satisfiability Neural Networks. CoRR (2024)
Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search. CoRR (2024)
Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
GMTR: Graph Matching Transformers. ICASSP (2024)
Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
MixSATGEN: Learning Graph Mixing for SAT Instance Generation. ICLR (2024)
Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR (2023)
Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD (2023)
Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. CoRR (2023)
Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan
Deep Learning of Partial Graph Matching via Differentiable Top-K. CVPR (2023)
Runzhong Wang, Junchi Yan, Xiaokang Yang
Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems. CoRR (2023)
Jianhua Sun, Haoshu Fang, Yuxuan Li, Runzhong Wang, Minghao Gou, Cewu Lu
InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation. Int. J. Comput. Vis. 131 (10) (2023)
Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR (2023)
Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan
From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization. NeurIPS (2023)
Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
GMTR: Graph Matching Transformers. CoRR (2023)
Runzhong Wang, Junchi Yan, Xiaokang Yang
Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan
MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. ICASSP (2023)
Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR (2023)
Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
LinSATNet: The Positive Linear Satisfiability Neural Networks. ICML (2023)
Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. CVPR (2022)
Runzhong Wang, Junchi Yan, Xiaokang Yang
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR (2022)
Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. ICML (2022)
Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. NeurIPS (2021)
Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. CoRR (2021)
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
Deep Latent Graph Matching. ICML (2021)
Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR (2021)
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR (2020)
Runzhong Wang, Junchi Yan, Xiaokang Yang
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning. NeurIPS (2020)
Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan
Deep Reinforcement Learning of Graph Matching. CoRR (2020)
Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR (2020)
Runzhong Wang, Junchi Yan, Xiaokang Yang
Learning Combinatorial Embedding Networks for Deep Graph Matching. ICCV (2019)
Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yonglu Li, Cewu Lu
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. CoRR (2019)
Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yonglu Li, Cewu Lu
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. ICCV (2019)
Runzhong Wang, Junchi Yan, Xiaokang Yang
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching. CoRR (2019)
Runzhong Wang, Junchi Yan, Xiaokang Yang
Learning Combinatorial Embedding Networks for Deep Graph Matching. CoRR (2019)