| Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes P Wang, Y Fu, G Liu, W Hu, C Aggarwal Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 90 | 2017 |
| You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis P Wang, Y Fu, J Zhang, P Wang, Y Zheng, C Aggarwal Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 82 | 2018 |
| Dynamic spatio-temporal graph-based CNNs for traffic flow prediction K Chen, F Chen, B Lai, Z Jin, Y Liu, K Li, L Wei, P Wang, Y Tang, J Huang, ... IEEE Access 8, 185136-185145, 2020 | 64 | 2020 |
| Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning K Liu, Y Fu, P Wang, L Wu, R Bo, X Li Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 61 | 2019 |
| An algorithm for event detection based on social media data W Cui, P Wang, Y Du, X Chen, D Guo, J Li, Y Zhou Neurocomputing 254, 53-58, 2017 | 40 | 2017 |
| Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding Z Qiao, Y Du, Y Fu, P Wang, Y Zhou 2019 IEEE International Conference on Big Data (Big Data), 910-919, 2019 | 31 | 2019 |
| A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge Y Han, C Liu, P Wang arXiv preprint arXiv:2310.11703, 2023 | 30 | 2023 |
| Spotting trip purposes from taxi trajectories: A general probabilistic model P Wang, G Liu, Y Fu, Y Zhou, J Li ACM Transactions on Intelligent Systems and Technology (TIST) 9 (3), 1-26, 2017 | 30 | 2017 |
| GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with Knowledge-Informed Cross-Species Foundation Model X Yang, G Liu, G Feng, D Bu, P Wang, J Jiang, S Chen, Q Yang, Y Zhang, ... bioRxiv, 2023.09. 26.559542, 2023 | 17 | 2023 |
| Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning Z Qiao, P Wang, Y Fu, Y Du, P Wang, Y Zhou 2020 IEEE International Conference on Data Mining (ICDM), 432-441, 2020 | 17 | 2020 |
| Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents M Xiao, D Wang, M Wu, Z Qiao, P Wang, K Liu, Y Zhou, Y Fu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 15 | 2023 |
| Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy K Liu, P Wang, D Wang, W Du, DO Wu, Y Fu 2021 IEEE International Conference on Data Mining (ICDM), 399-408, 2021 | 13 | 2021 |
| Beyond discrete selection: Continuous embedding space optimization for generative feature selection M Xiao, D Wang, M Wu, P Wang, Y Zhou, Y Fu 2023 IEEE International Conference on Data Mining (ICDM), 688-697, 2023 | 12 | 2023 |
| Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning H Dong, Z Ning, P Wang, Z Qiao, P Wang, Y Zhou, Y Fu Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 12 | 2023 |
| Reinforcement-enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions D Wang, M Xiao, M Wu, P Wang, Y Zhou, Y Fu Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning H Dong, P Wang, M Xiao, Z Ning, P Wang, Y Zhou https://arxiv.org/abs/2309.03251, 2024 | 8 | 2024 |
| Deep adaptive graph clustering via von Mises-Fisher distributions P Wang, D Wu, C Chen, K Liu, Y Fu, J Huang, Y Zhou, J Zhan, X Hua ACM Transactions on the Web 18 (2), 1-21, 2023 | 8 | 2023 |
| Graph Soft-Contrastive Learning via Neighborhood Ranking Z Ning, P Wang, P Wang, Z Qiao, W Fan, D Zhang, Y Du, Y Zhou arXiv preprint arXiv:2209.13964, 2022 | 8 | 2022 |
| A framework of data sharing system with decentralized network P Wang, W Cui, J Li Big Scientific Data Management: First International Conference, BigSDM 2018 …, 2019 | 8 | 2019 |
| Urban traffic light control via active multi-agent communication and supply-demand modeling X Guo, Z Yu, P Wang, Z Jin, J Huang, D Cai, X He, XS Hua IEEE Transactions on Knowledge and Data Engineering 35 (4), 4346-4356, 2021 | 7 | 2021 |
Yanjie FuAssociate Professor, School of Computing and AI, Arizona State University在 asu.edu 的电子邮件经过验证
