Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data Z Dong, S Zhu, Y Xie, J Mateu, FJ Rodríguez-Cortés Journal of the Royal Statistical Society Series C: Applied Statistics 72 (2 …, 2023 | 11 | 2023 |
Neural Spectral Marked Point Processes S Zhu, H Wang, Z Dong, X Cheng, Y Xie arXiv preprint arXiv:2106.10773, 2021 | 9 | 2021 |
Spatio-temporal point processes with deep non-stationary kernels Z Dong, X Cheng, Y Xie arXiv preprint arXiv:2211.11179, 2022 | 4 | 2022 |
Tides need stemmed: A locally operating spatio-temporal mutually exciting point process with dynamic network for improving opioid overdose death prediction CY Liao, GG Garcia, K Paynabar, Z Dong, Y Xie, MS Jalali arXiv preprint arXiv:2211.07570, 2022 | 1 | 2022 |
Deep graph kernel point processes Z Dong, M Repasky, X Cheng, Y Xie arXiv preprint arXiv:2306.11313, 2023 | | 2023 |
Conditional Generative Modeling is All You Need for Marked Temporal Point Processes Z Dong, Z Fan, S Zhu arXiv preprint arXiv:2305.12569, 2023 | | 2023 |
Sequential Vessel Trajectory Identification Using Truncated Viterbi Algorithm Z Dong, Y Yangv, Y Xie ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | | 2020 |