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cs.LG2026
Post-Training Neural Network Pruning using Graph Curvature
Shuhang Tan, Jayson Sia, Paul Bogdan +1
This paper provides a fresh view of the neural network (NN) pruning problem through the lens of graph theory. To achieve effective pruning, we aim to identify the main NN data flow…
cs.LG2024★ 1 cited
Analyzing Neural Network Robustness Using Graph Curvature
Shuhang Tan, Jayson Sia, Paul Bogdan +1
This paper presents a new look at the neural network (NN) robustness problem, from the point of view of graph theory analysis, specifically graph curvature. Graph curvature (e.g.,…
cs.LG2023
RCP-RF: A Comprehensive Road-car-pedestrian Risk Management Framework based on Driving Risk Potential Field
Shuhang Tan, Zhiling Wang, Yan Zhong
Recent years have witnessed the proliferation of traffic accidents, which led wide researches on Automated Vehicle (AV) technologies to reduce vehicle accidents, especially on risk…