| Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN G Han, S Liu, K Chen, N Yu, Z Feng, M Song International Conference on Intelligent Computing & Optimization (ICO), Oral, 2021 | 16 | 2021 |
| A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Y Qing, S Liu, J Song, H Wang, M Song arXiv preprint arXiv:2211.06665, 2022 | 15 | 2022 |
| Distribution Knowledge Embedding for Graph Pooling K Chen, J Song, S Liu, N Yu, Z Feng, G Han, M Song IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 9 | 2022 |
| The Recognition of Driving Action Based on EEG Signals Using Wavelet-CSP Algorithm J Lin, S Liu, G Huang, Z Zhang, K Huang IEEE International Conference on Digital Signal Processing (DSP), 2018 | 9 | 2018 |
| Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Y Zhou, S Liu, Y Qing, K Chen, T Zheng, Y Huang, J Song, M Song arXiv preprint arXiv:2305.17352, 2023 | 7 | 2023 |
| Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition S Liu, Y Zhou, J Song, T Zheng, K Chen, T Zhu, Z Feng, M Song AAAI Conference on Artificial Intelligence (AAAI), Oral, 2023 | 4 | 2023 |
| Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket Y Wang, S Liu, K Chen, T Zhu, J Qiao, M Shi, Y Wan, M Song European Conference on Artificial Intelligence (ECAI), 2023 | 3 | 2023 |
| Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization K Chen, S Liu, T Zhu, T Zheng, H Zhang, Z Feng, J Ye, M Song ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023 | 3 | 2023 |
| Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System K Chen, S Liu, N Yu, R Yan, Q Zhang, J Song, Z Feng, M Song International Joint Conference on Neural Networks (IJCNN), Oral, 2022 | 3 | 2022 |
| COLA: Cross-city Mobility Transformer for Human Trajectory Simulation Y Wang, T Zheng, Y Liang, S Liu, M Song International World Wide Web Conference (WWW), 2024 | 2 | 2024 |
| Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework S Liu, K Chen, N Yu, J Song, Z Feng, M Song IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMC), 2023 | 2 | 2023 |
| Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach Based on Multi-Task Attribution Map S Liu, W Luo, Y Zhou, K Chen, Q Zhang, H Xu, Q Guo, M Song IEEE Transactions on Power Systems, 2023 | 2 | 2023 |
| Disentangled condensation for large-scale graphs Z Xiao, S Liu, Y Wang, T Zheng, M Song arXiv preprint arXiv:2401.12231, 2024 | 1 | 2024 |
| Lookaround Optimizer: steps around, 1 step average J Zhang, S Liu, J Song, T Zhu, Z Xu, M Song Advances in Neural Information Processing Systems (NeurIPS), 2023 | 1 | 2023 |
| Progressive decision-making framework for power system topology control S Liu, Y Zhou, M Song, G Bu, J Guo, C Chen Expert Systems with Applications (ESWA), 2023 | 1 | 2023 |
| Curricular Subgoals for Inverse Reinforcement Learning S Liu, Y Qing, S Xu, H Wu, J Zhang, J Cong, T Chen, Y Liu, M Song arXiv preprint arXiv:2306.08232, 2023 | 1 | 2023 |
| Message-passing Selection: Towards Interpretable GNNs for Graph Classification W Li, K Chen, S Liu, W Huang, H Zhang, T Yingjie, S Yun, M Song International Conference on Learning Representations (ICLR) Tiny Paper, 2023 | 1 | 2023 |
| Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning S Liu, J Song, Y Zhou, N Yu, K Chen, Z Feng, M Song arXiv preprint arXiv:2207.03902, 2022 | 1 | 2022 |
| Simple Graph Condensation Z Xiao, Y Wang, S Liu, H Wang, M Song, T Zheng arXiv preprint arXiv:2403.14951, 2024 | | 2024 |
| Multi-Agent Continuous Control with Generative Flow Networks S Luo, Y Li, S Liu, X Zhang, Y Shao, C Wu Neural Networks (NN), 2024 | | 2024 |
Song, MingliFull Professor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
