Kevin Jiang

According to our database, Kevin Jiang authored at least 3 papers between 2019 and 2024.

Collaborative distances:

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

2024

RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews.

Satpreet Harcharan Singh, Kevin Jiang, Kanchan Bhasin, Ashutosh Sabharwal, Nidal Moukaddam, Ankit B. Patel

CoRR, 2024

2022

PLCOjs, a FAIR GWAS web SDK for the NCI Prostate, Lung, Colorectal and Ovarian Cancer Genetic Atlas project.

Eric Ruan, Erika Nemeth, Richard A. Moffitt, Lorena Sandoval, Mitchell J. Machiela, Neal D. Freedman, Wen-Yi Huang, Wendy Wong, Kai-Ling Chen, Brian Park, Kevin Jiang, Belynda Hicks, Jia Liu, Daniel E. Russ, Lori M. Minasian, Paul F. Pinsky, Stephen J. Chanock, Montserrat Garcia-Closas, Jonas S. Almeida

Bioinform., 2022

2019

Deep learning long-range information in undirected graphs with wave networks.

Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass

Proceedings of the International Joint Conference on Neural Networks, 2019