| DeepSTCL: A deep spatio-temporal ConvLSTM for travel demand prediction D Wang, Y Yang, S Ning 2018 international joint conference on neural networks (IJCNN), 1-8, 2018 | 76 | 2018 |
| Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective D Wang, P Wang, K Liu, Y Zhou, C Hughes, Y Fu AAAI 2021, 2021 | 25 | 2021 |
| Multi-level recommendation reasoning over knowledge graphs with reinforcement learning X Wang, K Liu, D Wang, L Wu, Y Fu, X Xie Proceedings of the ACM Web Conference 2022, 2098-2108, 2022 | 24 | 2022 |
| 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 | 18 | 2020 |
| Measuring urban vibrancy of residential communities using big crowdsourced geotagged data P Wang, K Liu, D Wang, Y Fu Frontiers in big Data 4, 690970, 2021 | 14 | 2021 |
| Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection D Wang, P Wang, J Zhou, L Sun, B Du, Y Fu ICDM 2020, 2020 | 11 | 2020 |
| Deep Flexible Structured Spatial-Temporal Model for taxi capacity prediction W Zhou, Y Yang, Y Zhang, D Wang, X Zhang Knowledge-Based Systems, 106286, 2020 | 7 | 2020 |
| Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation D Wang, Y Fu, K Liu, F Chen, P Wang, CT Lu TSAS Accepted, 2021 | 6 | 2021 |
| Reinforced Imitative Graph Learning for Mobile User Profiling D Wang, P Wang, Y Fu, K Liu, H Xiong, CE Hughes TKDE Accept, 2022 | 5 | 2022 |
| Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning D Wang, K Liu, P Johnson, L Sun, B Du, Y Fu ICDM 2021, 2021 | 5 | 2021 |
| Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy K Liu, P Wang, D Wang, W Du, DO Wu, Y Fu ICDM 2021, 2021 | 5 | 2021 |
| Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams D Wang, K Liu, H Xiong, Y Fu TBD Accepted, 2022 | 4 | 2022 |
| Towards semantically-rich spatial network representation learning via automated feature topic pairing D Wang, K Liu, D Mohaisen, P Wang, CT Lu, Y Fu Frontiers in big Data, 89, 2021 | 4 | 2021 |
| Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction D Wang, Y Fu, K Liu, X Li, Y Solihin KDD 2022, 2022 | 3 | 2022 |
| Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning D Wang, K Liu, D Mohaisen, P Wang, CT Lu, Y Fu SIGSPATIAL 2021, 2021 | 3 | 2021 |
| Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization D Wang, Z Chen, J Ni, L Tong, Z Wang, Y Fu, H Chen KDD 2023 Accepted, 2023 | 2 | 2023 |
| Interactive reinforced feature selection with traverse strategy K Liu, D Wang, W Du, DO Wu, Y Fu Knowledge and Information Systems, 1-28, 2023 | 2 | 2023 |
| Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning D Wang, L Wu, D Zhang, J Zhou, L Sun, Y Fu AAAI 2023, 2022 | 2 | 2022 |
| Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning D Wang, CT Lu, Y Fu TSAS submited, 2023 | 1 | 2023 |
| 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 arXiv preprint arXiv:2302.14829, 2023 | 1 | 2023 |
Yanjie FuAssistant Professor, University of Central FloridaVerified email at ucf.edu
