5 papers
Multivariate Time Series Data Imputation via Distributionally Robust Regularization
Che-Yi Liao, Zheng Dong, Gian-Gabriel Garcia +1
Multivariate time series imputation is often compromised by mismatch between the observed and true data distributions, a bias induced by the combined effects of time-series non-sta…
Spatio-Temporal-Network Point Processes for Modeling Crime Events with Landmarks
Zheng Dong, Jorge Mateu, Yao Xie
Self-exciting point processes are widely used to model the contagious effects of crime events living within continuous geographic space, using their occurrence time and locations.…
Deep spatio-temporal point processes: Advances and new directions
Xiuyuan Cheng, Zheng Dong, Yao Xie
Spatio-temporal point processes (STPPs) model discrete events distributed in time and space, with important applications in areas such as criminology, seismology, epidemiology, and…
GreenTEA: Gradient Descent with Topic-modeling and Evolutionary Auto-prompting
Zheng Dong, Luming Shang, Gabriela Olinto
High-quality prompts are crucial for Large Language Models (LLMs) to achieve exceptional performance. However, manually crafting effective prompts is labor-intensive and demands si…
Atlanta Gun Violence Modeling via Nonstationary Spatio-temporal Point Processes
Zheng Dong, Yao Xie
Analysis of gun violence in the United States has utilized various models based on spatiotemporal point processes. Previous studies have identified a contagion effect in gun violen…