| A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction F Li, Z Gui, Z Zhang, D Peng, S Tian, K Yuan, Y Sun, H Wu, J Gong, Y Lei Neurocomputing 403, 153-166, 2020 | 103 | 2020 |
| Clustering by measuring local direction centrality for data with heterogeneous density and weak connectivity D Peng, Z Gui, D Wang, Y Ma, Z Huang, Y Zhou, H Wu Nature communications 13 (1), 5455, 2022 | 47 | 2022 |
| LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points Z Gui, Y Sun, L Yang, D Peng, F Li, H Wu, C Guo, W Guo, J Gong Neurocomputing 440, 72-88, 2021 | 44 | 2021 |
| Optimizing and accelerating space–time Ripley’s K function based on Apache Spark for distributed spatiotemporal point pattern analysis Y Wang, Z Gui, H Wu, D Peng, J Wu, Z Cui Future Generation Computer Systems 105, 96-118, 2020 | 30 | 2020 |
| Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling Y Mei, Z Gui, J Wu, D Peng, R Li, H Wu, Z Wei Geo-spatial Information Science 25 (3), 365-382, 2022 | 28 | 2022 |
| MSGC: Multi-scale grid clustering by fusing analytical granularity and visual cognition for detecting hierarchical spatial patterns Z Gui, D Peng, H Wu, X Long Future Generation Computer Systems 112, 1038-1056, 2020 | 23 | 2020 |
| Population Spatialization by Considering Pixel‐Level Attribute Grading and Spatial Association J WU, Z GUI, L SHEN, H WU, H LIU, R LI, Y MEI, D PENG Geomatics and Information Science of Wuhan University 47 (9), 1364-1375, 2022 | 9 | 2022 |
| High performance spatiotemporal visual analytics technologies and its applications in big socioeconomic data analysis Z Gui, Y Wang, F Li, S Tian, D Peng, Z Cui Spatial synthesis: computational social science and humanities, 221-255, 2020 | 8 | 2020 |
| Interpreting the curse of dimensionality from distance concentration and manifold effect D Peng, Z Gui, H Wu arXiv preprint arXiv:2401.00422, 2023 | 5 | 2023 |
| A robust and efficient boundary point detection method by measuring local direction dispersion D Peng, Z Gui, H Wu arXiv preprint arXiv:2312.04065, 2023 | 3 | 2023 |
| DEVELOPING APACHE SPARK BASED RIPLEY’SK FUNCTIONS FOR ACCELERATING SPATIOTEMPORAL POINT PATTERN ANALYSIS Z Gui, Y Wang, Z Cui, D Peng, J Wu, Z Ma, S Luo, H Wu The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 2 | 2020 |
| Profiling mobility patterns and driving behaviors of individual drivers via trajectory trait Y Liu, Z Gui, Y Xu, S Gao, A Zhao, F Meng, D Peng, F Li, L Bo, H Wu, ... The Innovation Geoscience, 100114-1-100114-15, 2024 | 1 | 2024 |
| Individual mobility prediction by considering current traveling features and historical activity chain X Zhang, Z Gui, Y Liu, D Peng, Q Lan, Z Shen, H Chen, Y Zuo, Y Yao, ... Geo-spatial Information Science, 1-28, 2025 | | 2025 |
| Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking for Image-Text Retrieval W Wei, Z Gui, C Wu, A Zhao, D Peng, H Wu IEEE Transactions on Multimedia, 2025 | | 2025 |
| A submesoscale eddy identification dataset in the northwest Pacific Ocean derived from GOCI I chlorophyll data based on deep learning Y Wang, G Chen, J Yang, Z Gui, D Peng Earth System Science Data 16 (12), 5737-5752, 2024 | | 2024 |
| Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding D Peng, Z Gui, W Wei, H Wu arXiv preprint arXiv:2401.01100, 2024 | | 2024 |
| MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion D Peng, Z Gui, H Wu arXiv preprint arXiv:2312.04067, 2023 | | 2023 |
Zhipeng GuiProfessor of GIScience, Wuhan UniversityVerified email at whu.edu.cn