2 citations · 2 across the 3 of their papers we have counts for
4 papers
Generating Intervention Hypotheses using Explainable Explanations on Graphs: G2I, a Two-Stage Greedy Framework
Mulin Tian, Ajitesh Srivastava
Real-world decision-making in public health and social science can greatly benefit from predictive models, yet translating predictions into effective interventions requires explain…
TrendGNN: Towards Understanding of Epidemics, Beliefs, and Behaviors
Mulin Tian, Ajitesh Srivastava
Epidemic outcomes have a complex interplay with human behavior and beliefs. Most of the forecasting literature has focused on the task of predicting epidemic signals using simple m…
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies
Mulin Tian, Mahyar Khayatkhoei, Joe Mathai +1
Deepfake videos present an increasing threat to society with potentially negative impact on criminal justice, democracy, and personal safety and privacy. Meanwhile, detecting deepf…
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking
Gourav Datta, Souvik Kundu, Zihan Yin +11
Today's high resolution, high frame rate cameras in autonomous vehicles generate a large volume of data that needs to be transferred and processed by a downstream processor or mach…