James Tian

According to our database, James Tian authored at least 9 papers between 2019 and 2026.

Collaborative distances:

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

2026

Graph structured operator inequalities and Tsirelson-type bounds.

James Tian

Quantum Inf. Process., May, 2026

2025

Shorting Dynamics and Structured Kernel Regularization.

James Tian

CoRR, December, 2025

A Class of Random-Kernel Network Models.

James Tian

CoRR, September, 2025

Efficient support ticket resolution using Knowledge Graphs.

Sherwin Varghese, James Tian

CoRR, January, 2025

2023

Conditional mean embeddings and optimal feature selection via positive definite kernels.

Palle E. T. Jorgensen, Myung-Sin Song, James Tian

CoRR, 2023

Operator theory, kernels, and Feedforward Neural Networks.

Palle E. T. Jorgensen, Myung-Sin Song, James Tian

CoRR, 2023

2021

Positive Definite Kernels, Algorithms, Frames, and Approximations.

Palle E. T. Jorgensen, Myung-Sin Song, James Tian

CoRR, 2021

2019

Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models.

Songyue Han, James Tian, Mark Kelly, Vignesh Selvakumaran, Ricardo Henao, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports.

Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran, Matthew Phelan, Maciej A. Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin, Ricardo Henao

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019