Pengyang Wang
Pengyang Wang
Verified email at knights.ucf.edu - Homepage
Title
Cited by
Cited by
Year
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
372018
Learning urban community structures: A collective embedding perspective with periodic spatial-temporal mobility graphs
P Wang, Y Fu, J Zhang, X Li, D Lin
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (6), 1-28, 2018
302018
Adversarial substructured representation learning for mobile user profiling
P Wang, Y Fu, H Xiong, X Li
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
232019
Unifying inter-region autocorrelation and intra-region structures for spatial embedding via collective adversarial learning
Y Zhang, Y Fu, P Wang, X Li, Y Zheng
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
192019
Ensemble-spotting: Ranking urban vibrancy via poi embedding with multi-view spatial graphs
P Wang, J Zhang, G Liu, Y Fu, C Aggarwal
Proceedings of the 2018 SIAM International Conference on Data Mining, 351-359, 2018
182018
Representing urban forms: A collective learning model with heterogeneous human mobility data
Y Fu, G Liu, Y Ge, P Wang, H Zhu, C Li, H Xiong
IEEE transactions on knowledge and data engineering 31 (3), 535-548, 2018
152018
Job2Vec: Job title benchmarking with collective multi-view representation learning
D Zhang, J Liu, H Zhu, Y Liu, L Wang, P Wang, H Xiong
Proceedings of the 28th ACM International Conference on Information and …, 2019
82019
Incremental mobile user profiling: Reinforcement learning with spatial knowledge graph for modeling event streams
P Wang, K Liu, L Jiang, X Li, Y Fu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
72020
Modeling the interaction coupling of multi-view spatiotemporal contexts for destination prediction
K Liu, P Wang, J Zhang, Y Fu, SK Das
Proceedings of the 2018 SIAM International Conference on Data Mining, 171-179, 2018
72018
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
W Fan, K Liu, H Liu, P Wang, Y Ge, Y Fu
arXiv preprint arXiv:2008.12001, 2020
62020
Spatiotemporal representation learning for driving behavior analysis: A joint perspective of peer and temporal dependencies
P Wang, X Li, Y Zheng, C Aggarwal, Y Fu
IEEE Transactions on Knowledge and Data Engineering, 2019
62019
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
P Wang, Y Fu, Y Zhou, K Liu, X Li, K Hua
52020
Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity
J Du, Y Zhang, P Wang, J Leopold, Y Fu
2019 IEEE International Conference on Data Mining (ICDM), 160-169, 2019
42019
Efficient region embedding with multi-view spatial networks: A perspective of locality-constrained spatial autocorrelations
Y Fu, P Wang, J Du, L Wu, X Li
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 906-913, 2019
42019
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
D Zhang, Z Yuan, Y Liu, Z Fu, F Zhuang, P Wang, H Chen, H Xiong
arXiv preprint arXiv:2009.02835, 2020
22020
Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks
DK Chandra, P Wang, J Leopold, Y Fu
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
22019
Denghui Zhang
D Zhang, J Liu, H Zhu, Y Liu, L Wang, P Wang, H Xiong, M Li, P Cai, Y Jia, ...
Learning 2018, 2018
22018
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning
D Wang, Y Fu, P Wang, B Huang, CT Lu
Proceedings of the 28th International Conference on Advances in Geographic …, 2020
12020
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
arXiv preprint arXiv:2008.10003, 2020
12020
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement
P Wang, J Gui, Z Chen, J Rhee, H Chen, Y Fu
Proceedings of The Web Conference 2020, 2144-2154, 2020
12020
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