59 citations · 115 across the 13 of their papers we have counts for
6 papers · 1 filter
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
Li Ju, Xingyi Yang, Qi Li +1
Graph neural networks (GNNs) are conventionally trained on a per-domain, per-task basis. It creates a significant barrier in transferring the acquired knowledge to different, heter…
Kolmogorov-Arnold Transformer
Xingyi Yang, Xinchao Wang
Transformers stand as the cornerstone of mordern deep learning. Traditionally, these models rely on multi-layer perceptron (MLP) layers to mix the information between channels. In…
Distribution Shift Inversion for Out-of-Distribution Prediction
Runpeng Yu, Songhua Liu, Xingyi Yang +1
Machine learning society has witnessed the emergence of a myriad of Out-of-Distribution (OoD) algorithms, which address the distribution shift between the training and the testing…
DSRNA: Differentiable Search of Robust Neural Architectures
Ramtin Hosseini, Xingyi Yang, Pengtao Xie
In deep learning applications, the architectures of deep neural networks are crucial in achieving high accuracy. Many methods have been proposed to search for high-performance neur…
Stochastic Gradient Variance Reduction by Solving a Filtering Problem
Xingyi Yang
Deep neural networks (DNN) are typically optimized using stochastic gradient descent (SGD). However, the estimation of the gradient using stochastic samples tends to be noisy and u…
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao +3
During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets a…