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2020 – today
- 2024
[j5]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:
Pygmtools: A Python Graph Matching Toolkit. J. Mach. Learn. Res. 25: 33:1-33:7 (2024)- [c21]Yuqing Zhang, Hangqi Li, Shengyu Zhang
, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang. ECCV (75) 2024: 253-269 - [c20]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. ICASSP 2024: 6535-6539 - [c19]Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan:
MixSATGEN: Learning Graph Mixing for SAT Instance Generation. ICLR 2024 - [c18]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: 3173-3184 - [i14]Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley:
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search. CoRR abs/2407.06334 (2024) - [i13]Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan:
LinSATNet: The Positive Linear Satisfiability Neural Networks. CoRR abs/2407.13917 (2024) - [i12]Runzhong Wang, Yang Li, Junchi Yan, Xiaokang Yang:
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks. CoRR abs/2409.04495 (2024) - [i11]Jenna C. Fromer, Runzhong Wang, Mrunali Manjrekar, Austin Tripp, José Miguel Hernández-Lobato, Connor W. Coley:
Batched Bayesian optimization with correlated candidate uncertainties. CoRR abs/2410.06333 (2024) - 2023
- [j4]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): 2665-2681 (2023) - [j3]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): 6984-7000 (2023) - [j2]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): 10500-10518 (2023) - [c17]Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan:
Deep Learning of Partial Graph Matching via Differentiable Top-K. CVPR 2023: 6272-6281 - [c16]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: 1-5 - [c15]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 - [c14]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 - [c13]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 - [c12]Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan:
LinSATNet: The Positive Linear Satisfiability Neural Networks. ICML 2023: 36605-36625 - [c11]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: 531-543 - [c10]Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan:
From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization. NeurIPS 2023 - [i10]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 abs/2311.04590 (2023) - [i9]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 abs/2311.07633 (2023) - [i8]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. CoRR abs/2311.08141 (2023) - 2022
- [j1]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): 5261-5279 (2022) - [c9]Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan:
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. CVPR 2022: 15242-15251 - [c8]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: 13857-13869 - [i7]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang:
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR abs/2201.00402 (2022) - 2021
- [c7]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR 2021: 5241-5250 - [c6]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Deep Latent Graph Matching. ICML 2021: 12187-12197 - [c5]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: 21453-21466 - [i6]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 abs/2106.04927 (2021) - 2020
- [c4]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR 2020 - [c3]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 - [i5]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR abs/2011.15039 (2020) - [i4]Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan:
Deep Reinforcement Learning of Graph Matching. CoRR abs/2012.08950 (2020)
2010 – 2019
- 2019
- [c2]Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu:
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. ICCV 2019: 682-691 - [c1]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. ICCV 2019: 3056-3065 - [i3]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. CoRR abs/1904.00597 (2019) - [i2]Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu:
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. CoRR abs/1908.07801 (2019) - [i1]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 abs/1911.11308 (2019)
Coauthor Index
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