1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks
Zhen Qin, Xuwei Tan, Zhihui Zhu
Enforcing orthonormal or isometric property for the weight matrices has been shown to enhance the training of deep neural networks by mitigating gradient exploding/vanishing and in…
cs.LG2023
Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning
Xuwei Tan, Yi-Jie Huang, Yaqian Li
Semi-supervised Learning (SSL) has been proven vulnerable to out-of-distribution (OOD) samples in realistic large-scale unsupervised datasets due to over-confident pseudo-labeling…
cs.LG2021★ 1 cited
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness
Xuwei Tan, Yangming Zhou, MengChu Zhou +1
Detecting critical nodes in sparse graphs is important in a variety of application domains, such as network vulnerability assessment, epidemic control, and drug design. The critica…