Publications

For the most up-to-date list, please visit my Google Scholar.
$^\dagger$ denotes equal contribution, and $^✉️$ denotes the corresponding author.

Journal

• Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
  Yu Wang, Tongya Zheng, Shunyu Liu, Kaixuan Chen, Zunlei Feng, Yunzhi Hao, Mingli Song.
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
  [Paper] [arXiv] [Code]

• Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
  Shunyu Liu, Jie Song$^✉️$, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)$^*$, 2024.
  $^*$ Top-tier Journal in Artificial Intelligence.
  [Paper] [arXiv] [Code]

• Multi-Agent Continuous Control with Generative Flow Networks
  Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu.
  Neural Networks (NN), 2024.
  [Paper] [arXiv]

• Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
  Shunyu Liu$^\dagger$, Wei Luo$^\dagger$, Yanzhen Zhou, Kaixuan Chen, Quan Zhang, Huating Xu, Qinglai Guo, Mingli Song$^✉️$.
  IEEE Transactions on Power Systems (TPS)$^*$, 2024.
  $^*$ Top-tier Journal in Power Systems.
  [Paper] [arXiv] [Code]

• Progressive Decision-Making Framework for Power System Topology Control
  Shunyu Liu, Yanzhen Zhou, Mingli Song$^✉️$, Guangquan Bu, Jianbo Guo, Chun Chen.
  Expert Systems with Applications (ESWA), 2024.
  [Paper] [Code]

• Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
  Shunyu Liu, Kaixuan Chen, Yu, Na, Jie Song, Zunlei Feng, Mingli Song$^✉️$.
  IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMC), 2023.
  [Paper] [arXiv] [Code]

• Distribution Knowledge Embedding for Graph Pooling
  Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Gengshi Han, Mingli Song.
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
  [Paper] [arXiv] [Code]

Conference

• A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
  Yunpeng Qing, Shunyu Liu$^✉️$, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song.
  Advances in Neural Information Processing Systems (NeurIPS), 2024.
  [arXiv] [Code]

• Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation
  Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song.
  European Conference on Artificial Intelligence (ECAI), 2024.
  [arXiv] [Code]

• Simple Graph Condensation
  Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng.
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2024.
  [Paper] [arXiv] [Code]

• Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks
  Feiyang Xu$^\dagger$, Shunyu Liu$^{\dagger ✉️}$, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
  [Paper] [arXiv] [Code]

• Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
  Yuwen Wang, Shunyu Liu$^✉️$, Tongya Zheng, Kaixuan Chen, Mingli Song.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
  [Paper] [arXiv] [Code]

• Improving Adversarial Robustness via Feature Pattern Consistency Constraint
  Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song.
  International Joint Conference on Artificial Intelligence (IJCAI), 2024.
  [Paper] [arXiv]

• Multi-Channel Graph Fusion Representation for Tabular Data Imputation
  Na Yu, Ke Xu, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Mingli Song.
  International Joint Conference on Neural Networks (IJCNN), 2024.
  [Paper]

• COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
  Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song.
  International World Wide Web Conference (WWW), 2024.
  [Paper] [arXiv] [Code]

• Lookaround Optimizer: $k$ steps around, 1 step average
  Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song.
  Advances in Neural Information Processing Systems (NeurIPS), 2023.
  [Paper] [arXiv] [Code]

• Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks
  Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen.
  International Conference on Neural Information Processing (ICONIP), 2023.
  [Paper]

• Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket
  Yuwen Wang$^\dagger$, Shunyu Liu$^\dagger$, Kaixuan Chen$^\dagger$, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song.
  European Conference on Artificial Intelligence (ECAI), 2023.
  [Paper] [arXiv] [Code]

• Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
  Kaixuan Chen$^\dagger$, Shunyu Liu$^\dagger$, Tongtian Zhu$^\dagger$, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
  [Paper] [arXiv] [Code]

• Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
  Shunyu Liu$^\dagger$, Yihe Zhou$^\dagger$, Jie Song$^✉️$, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song.
  AAAI Conference on Artificial Intelligence (AAAI), 2023, Oral.
  [Paper] [arXiv] [Code]

• Message-passing Selection: Towards Interpretable GNNs for Graph Classification
  Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Yingjie Tian, Yun Su, Mingli Song.
  International Conference on Learning Representations (ICLR) Tiny Paper, 2023.
  [Paper] [arXiv]

• Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System
  Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song.
  International Joint Conference on Neural Networks (IJCNN), 2022, Oral.
  [Paper] [arXiv] [Code]

• Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN
  Gengshi Han, Shunyu Liu, Kaixuan Chen, Na Yu, Zunlei Feng, Mingli Song.
  International Conference on Intelligent Computing and Optimization (ICO), 2021, Oral.
  [Paper] [arXiv]

• The Recognition of Driving Action Based on EEG Signals Using Wavelet-CSP Algorithm
  Jinxin Lin, Shunyu Liu, Gan Huang, Zhiguo Zhang, Kai Huang.
  IEEE International Conference on Digital Signal Processing (DSP), 2018.
  [Paper]

Preprint

• Odyssey: Empowering Minecraft Agents with Open-World Skills
  Shunyu Liu$^\dagger$, Yaoru Li$^\dagger$, Kongcheng Zhang$^\dagger$, Zhenyu Cui$^\dagger$, Wenkai Fang$^\dagger$, Yuxuan Zheng, Tongya Zheng, Mingli Song$^✉️$.
  arXiv preprint arXiv:2407.15325, 2024.
  [arXiv] [Code]

• Disentangled Condensation for Large-scale Graphs
  Zhenbang Xiao, Shunyu Liu, Yu Wang, Tongya Zheng, Mingli Song.
  arXiv preprint arXiv:2401.12231, 2024.
  [arXiv] [Code]

• Powerformer: A Section-adaptive Transformer for Power Flow Adjustment
  Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Jie Song, Mingli Song.
  arXiv preprint arXiv:2401.02771, 2024.
  [arXiv] [Code]

• Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
  Yaoquan Wei, Shunyu Liu$^✉️$, Jie Song, Tongya Zheng, Kaixuan Chen, Yong Wang, Mingli Song.
  arXiv preprint arXiv:2311.16807, 2023.
  [arXiv]

• Curricular Subgoals for Inverse Reinforcement Learning
  Shunyu Liu$^\dagger$, Yunpeng Qing$^\dagger$, Shuqi Xu, Hongyan Wu, Jiangtao Zhang, Jingyuan Cong, Tianhao Chen, Yunfu Liu, Mingli Song$^✉️$.
  arXiv preprint arXiv:2306.08232, 2023.
  [arXiv] [Code]

• Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
  Yihe Zhou$^\dagger$, Shunyu Liu$^\dagger$, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song$^✉️$.
  arXiv preprint arXiv:2305.17352, 2023.
  [arXiv] [Code]

• A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
  Yunpeng Qing, Shunyu Liu, Jie Song, Huiqiong Wang, Mingli Song.
  arXiv preprint arXiv:2211.06665, 2022.
  [arXiv] [Code]