most citedGenerative Adversarial Networks for Spatio-temporal Data: A Survey

131 citations · 160 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 2 cited

A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality

Kyle K. Qin, Mohammad S. Rahaman, Yongli Ren +3

Human movements in the workspace usually have non-negligible relations with air quality parameters (e.g., CO, PM2.5, and PM10). We establish a system to monitor indoor human mo…

cs.LG2023★ 1 cited

Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction

Kyle K. Qin, Yongli Ren, Wei Shao +3

Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory i…

cs.LG2020★ 131 cited

Generative Adversarial Networks for Spatio-temporal Data: A Survey

Nan Gao, Hao Xue, Wei Shao +5

Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. Recently, GAN-based techniques are shown to…

cs.SI2020★ 1 cited

Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data

Shakila Khan Rumi, Kyle K. Qin, Flora D. Salim

A well-crafted police patrol route design is vital in providing community safety and security in the society. Previous works have largely focused on predicting crime events with hi…

cs.SI2020★ 25 cited

G-CREWE: Graph CompREssion With Embedding for Network Alignment

Kyle K. Qin, Flora D. Salim, Yongli Ren +3

Network alignment is useful for multiple applications that require increasingly large graphs to be processed. Existing research approaches this as an optimization problem or comput…