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Pengyang Wang
Pengyang Wang
Assistant Professor, University of Macau
Verified email at um.edu.mo - Homepage
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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
802018
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
792018
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
782019
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
752020
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
702019
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
592019
Autofs: Automated feature selection via diversity-aware interactive reinforcement learning
W Fan, K Liu, H Liu, P Wang, Y Ge, Y Fu
2020 IEEE International Conference on Data Mining (ICDM), 1008-1013, 2020
452020
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
412019
Frequency-domain MLPs are more effective learners in time series forecasting
K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, N An, D Lian, L Cao, Z Niu
Advances in Neural Information Processing Systems 36, 2024
372024
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
362018
Jiadi Du, Le Wu, and Xiaolin Li. 2019. Efficient region embedding with multi-view spatial networks: A perspective of locality-constrained spatial autocorrelations
Y Fu, P Wang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 906-913, 2019
342019
Reinforced imitative graph representation learning for mobile user profiling: An adversarial training perspective
D Wang, P Wang, K Liu, Y Zhou, CE Hughes, Y Fu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4410-4417, 2021
322021
Dish-ts: a general paradigm for alleviating distribution shift in time series forecasting
W Fan, P Wang, D Wang, D Wang, Y Zhou, Y Fu
Proceedings of the AAAI conference on artificial intelligence 37 (6), 7522-7529, 2023
302023
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
292020
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 33 (2), 728-741, 2019
292019
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
292018
E-BERT: A phrase and product knowledge enhanced language model for e-commerce
D Zhang, Z Yuan, Y Liu, F Zhuang, H Chen, H Xiong
arXiv preprint arXiv:2009.02835, 2020
282020
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
P Wang, Y Fu, Y Zhou, K Liu, X Li, K Hua
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
272020
FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective
K Yi, Q Zhang, W Fan, H He, L Hu, P Wang, N An, L Cao, Z Niu
Advances in Neural Information Processing Systems 36, 2024
232024
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
222018
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