3 papers
cs.LG2025
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
Zihao Li, Xinyuan Cao, Xiangbo Gao +12
Traffic safety science has long been hindered by a fundamental data paradox: the crashes we most wish to prevent are precisely those events we rarely observe. Existing crash-freque…
cs.DS2025
On the Power of Learning-Augmented Search Trees
Jingbang Chen, Xinyuan Cao, Alicia Stepin +1
We study learning-augmented binary search trees (BSTs) via Treaps with carefully designed priorities. The result is a simple search tree in which the depth of each item is dete…
cs.LG2024
Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay
Leyan Pan, Xinyuan Cao
Neural Collapse (NC) is a geometric structure recently observed at the terminal phase of training deep neural networks, which states that last-layer feature vectors for the same cl…