| 2025 | ICLR | 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 |
| 2025 | ICML | DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra. | Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley |
| 2025 | ICML | Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning. | Runzhong Wang, Rui-Xi Wang, Mrunali Manjrekar, Connor W. Coley |
| 2025 | WWW | Unified and Generalizable Reinforcement Learning for Facility Location Problems on Graphs. | Wenxuan Guo, Runzhong Wang, Yanyan Xu, Yaohui Jin |
| 2024 | ECCV | 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 |
| 2024 | ICASSP | GMTR: Graph Matching Transformers. | Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan |
| 2024 | ICLR | MixSATGEN: Learning Graph Mixing for SAT Instance Generation. | Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan |
| 2024 | WWW | Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. | Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan |
| 2023 | CVPR | Deep Learning of Partial Graph Matching via Differentiable Top-K. | Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan |
| 2023 | ICASSP | MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. | Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan |
| 2023 | ICLR | Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. | Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan |
| 2023 | ICLR | 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 |
| 2023 | ICLR | 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 |
| 2023 | ICML | LinSATNet: The Positive Linear Satisfiability Neural Networks. | Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan |
| 2023 | KDD | GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. | Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan |
| 2022 | CVPR | Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. | Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan |
| 2022 | ICML | 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 |
| 2021 | CVPR | Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. | Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang |
| 2021 | ICML | Deep Latent Graph Matching. | Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li |
| 2020 | ICLR | Learning deep graph matching with channel-independent embedding and Hungarian attention. | Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li |
| 2019 | ICCV | InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. | Haoshu Fang, Jianhua Sun, Runzhong Wang, Minghao Gou, Yong-Lu Li, Cewu Lu |
| 2019 | ICCV | Learning Combinatorial Embedding Networks for Deep Graph Matching. | Runzhong Wang, Junchi Yan, Xiaokang Yang |