Pengfei Wang
Pengfei Wang
Computer Network Information Center, Chinese Academy of Sciences
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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
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
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
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
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
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
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
A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge
Y Han, C Liu, P Wang
arXiv preprint arXiv:2310.11703, 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
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
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
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
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
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
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
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
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
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
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
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation
D Wu, X Luo, Z Ma, C Chen, P Wang, M Deng, J Ma
2021 IEEE International Conference on Data Mining (ICDM), 1427-1432, 2021
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