| Covid-gan: Estimating human mobility responses to covid-19 pandemic through spatio-temporal conditional generative adversarial networks H Bao, X Zhou, Y Zhang, Y Li, Y Xie Proceedings of the 28th international conference on advances in geographic …, 2020 | 35 | 2020 |
| A statistically-guided deep network transformation and moderation framework for data with spatial heterogeneity Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam 2021 IEEE International Conference on Data Mining (ICDM), 767-776, 2021 | 20 | 2021 |
| A TIMBER framework for mining urban tree inventories using remote sensing datasets Y Xie, H Bao, S Shekhar, J Knight 2018 IEEE International Conference on Data Mining (ICDM), 1344-1349, 2018 | 20 | 2018 |
| Discovering spatial mixture patterns of interest Y Xie, H Bao, Y Li, S Shekhar Proceedings of the 28th international conference on advances in geographic …, 2020 | 10 | 2020 |
| Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework Y Xie, E He, X Jia, W Chen, S Skakun, H Bao, Z Jiang, R Ghosh, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12208 …, 2022 | 8 | 2022 |
| Cycling-net: A deep learning approach to predicting cyclist behaviors from geo-referenced egocentric video data Y Ding, X Zhou, H Bao, Y Li, C Hamann, S Spears, Z Yuan Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 6 | 2020 |
| COVID-GAN+: Estimating human mobility responses to COVID-19 through spatio-temporal generative adversarial networks with enhanced features H Bao, X Zhou, Y Xie, Y Zhang, Y Li ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-23, 2022 | 5 | 2022 |
| Spatial-net: a self-adaptive and model-agnostic deep learning framework for spatially heterogeneous datasets Y Xie, X Jia, H Bao, X Zhou, J Yu, R Ghosh, P Ravirathinam Proceedings of the 29th international conference on advances in geographic …, 2021 | 5 | 2021 |
| Significant DBSCAN+: statistically robust density-based clustering Y Xie, X Jia, S Shekhar, H Bao, X Zhou ACM Transactions on Intelligent Systems and Technology (TIST) 12 (5), 1-26, 2021 | 4 | 2021 |
| NTEP‐DB 1.0: A relational database for the national turfgrass evaluation program Y Xie, M Farhadloo, N Guo, S Shekhar, E Watkins, L Kne, H Bao, ... International Turfgrass Society Research Journal 14 (1), 316-332, 2022 | 3 | 2022 |
| Harnessing heterogeneity in space with statistically guided meta-learning Y Xie, W Chen, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam Knowledge and information systems 65 (6), 2699-2729, 2023 | 2 | 2023 |
| STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19 H Bao, X Zhou, Y Xie, H Li, X Jia 22nd International Conference on Data Mining, https://arxiv.org/abs/2301.08648, 2022 | 2 | 2022 |
| Sailing in the location-based fairness-bias sphere E He, Y Xie, X Jia, W Chen, H Bao, X Zhou, Z Jiang, R Ghosh, ... Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 2 | 2022 |
| Auto-CM: unsupervised deep learning for satellite imagery composition and cloud masking using spatio-temporal dynamics Y Xie, Z Li, H Bao, X Jia, D Xu, X Zhou, S Skakun Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14575 …, 2023 | 1 | 2023 |
| STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19 H Bao, X Zhou, Y Xie, Y Li, X Jia Knowledge and Information Systems, 1-37, 2023 | | 2023 |
| Understanding children's cycling route selection through spatial trajectory data mining H Bao, X Zhou, C Hamann, S Spears Transportation research interdisciplinary perspectives 20, 100855, 2023 | | 2023 |
| Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | | 2022 |
