| Real-time intelligent big data processing: technology, platform, and applications T Zheng, G Chen, X Wang, C Chen, X Wang, S Luo Science China Information Sciences, 2019, 2019 | 56 | 2019 |
| Graph-based Knowledge Distillation: A survey and experimental evaluation J Liu, T Zheng, G Zhang, Q Hao arXiv preprint arXiv:2302.14643, 2023, 2023 | 8 | 2023 |
| 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 2023, 2022 | 4 | 2022 |
| 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 KDD 2023, 2023 | 3 | 2023 |
| Transition Propagation Graph Neural Networks for Temporal Networks T Zheng, Z Feng, T Zhang, Y Hao, M Song, X Wang, X Wang, J Zhao, ... IEEE Transactions on Neural Networks and Learning Systems, 2022, 2022 | 3 | 2022 |
| HIRE: Distilling high-order relational knowledge from heterogeneous graph neural networks J Liu, T Zheng, Q Hao Neurocomputing, 2022, 2022 | 3 | 2022 |
| COLA: Cross-city Mobility Transformer for Human Trajectory Simulation Y Wang, T Zheng, Y Liang, S Liu, M Song WWW 2024, 2024 | 2 | 2024 |
| Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation T Zheng, X Wang, Z Feng, J Song, Y Hao, M Song, X Wang, X Wang, ... IEEE Transactions on Knowledge and Data Engineering, 2023, 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 |
| Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification Y Hao, M Wang, X Wang, T Zheng, X Wang, W Huang, C Chen ICONIP 2023, 2023 | 1 | 2023 |
| Learning Dynamic Preference Structure Embedding From Temporal Networks T Zheng, Z Feng, Y Wang, C Shen, M Song, X Wang, X Wang, C Chen, ... IEEE International Conference on Big Knowledge (ICBK), 2021, 2021 | 1 | 2021 |
| Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning Y Wang, J Cao, W Huang, Z Liu, T Zheng, M Song Information Fusion, 102404, 2024 | | 2024 |
| DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection M Duan, T Zheng, Y Gao, G Wang, Z Feng, X Wang AAAI 2024, 2024 | | 2024 |
| Simple Graph Condensation Z Xiao, Y Wang, S Liu, H Wang, M Song, T Zheng arXiv preprint arXiv:2403.14951, 2024 | | 2024 |
| Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Y Wei, S Liu, J Song, T Zheng, K Chen, Y Wang, M Song arXiv preprint arXiv:2311.16807, 2023 | | 2023 |
| Disentangling Node Metric Factors for Temporal Link Prediction T Zhang, T Zheng, Y Wan, Y Li, W Huang ICONIP 2023, 2023 | | 2023 |
| Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks Y Hao, Y Wang, S Liu, T Zheng, X Wang, X Wang, M Song, W Huang, ... ICONIP 2023, 2023 | | 2023 |
| Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength T Zheng, T Zhang, Q Guan, W Huang, Z Feng, M Song, C Chen arXiv preprint arXiv:2307.13909, 2023 | | 2023 |
| A General Heterogeneous Hypergraph Neural Network for Node Classification B Hu, W Huang, T Zheng, M Song, Y Li IJCNN 2023, 2023 | | 2023 |
Song, MingliFull Professor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
