Devin Kwok

According to our database, Devin Kwok authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records.

Guishen Wang, Xiaoxue Lou, Fang Guo, Devin Kwok, Chen Cao

IEEE J. Biomed. Health Informatics, March, 2024

Dataset Difficulty and the Role of Inductive Bias.

Devin Kwok, Nikhil Anand, Jonathan Frankle, Gintare Karolina Dziugaite, David Rolnick

CoRR, 2024

Simultaneous Linear Connectivity of Neural Networks Modulo Permutation.

Ekansh Sharma, Devin Kwok, Tom Denton, Daniel M. Roy, David Rolnick, Gintare Karolina Dziugaite

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Deep Networks as Paths on the Manifold of Neural Representations.

Richard D. Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad P. Kording

Proceedings of the Topological, 2023

2022

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.

Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou

Nucleic Acids Res., 2022

Neural Networks as Paths through the Space of Representations.

Richard D. Lange, Jordan Matelsky, Xinyue Wang, Devin Kwok, David S. Rolnick, Konrad P. Kording

CoRR, 2022

2021

kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes.

Chen Cao, Devin Kwok, Shannon Edie, Qing Li, Bowei Ding, Pathum Kossinna, Simone Campbell, Jingjing Wu, Matthew Greenberg, Quan Long

Briefings Bioinform., 2021