9 citations · 22 across the 5 of their papers we have counts for
7 papers
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach
Arun Sharma, Majid Farhadloo, Yan Li +3
Given aggregated mobile device data, the goal is to understand the impact of COVID-19 policy interventions on mobility. This problem is vital due to important societal use cases, s…
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results
Jayant Gupta, Carl Molnar, Gaoxiang Luo +2
Given Spatial Variability Aware Neural Networks (SVANNs), the goal is to investigate mathematical (or computational) models for comparative physical interpretation towards their tr…
Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results
Harish Panneer Selvam, Yan Li, Pengyue Wang +2
Given an on-board diagnostics (OBD) dataset and a physics-based emissions prediction model, this paper aims to develop an accurate and computational-efficient AI (Artificial Intell…
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey
Yiqun Xie, Shashi Shekhar, Yan Li
Mapping of spatial hotspots, i.e., regions with significantly higher rates of generating cases of certain events (e.g., disease or crime cases), is an important task in diverse soc…
Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results
Jayant Gupta, Yiqun Xie, Shashi Shekhar
Spatial variability has been observed in many geo-phenomena including climatic zones, USDA plant hardiness zones, and terrestrial habitat types (e.g., forest, grasslands, wetlands,…
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles
Pengyue Wang, Yan Li, Shashi Shekhar +1
Adversarial examples are firstly investigated in the area of computer vision: by adding some carefully designed ''noise'' to the original input image, the perturbed image that cann…