Julian C. Hong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
2
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | "Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift. | Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong, Jean Feng |
| 2021 | AMIA | Machine Learning Implementation Results in Reduced Variable Cost of Acute Care Visits During Radiotherapy: SHIELD-RT Cost Analysis. | Divya Natesan, Samantha Thomas, Eric Eisenstein, Neville C. W. Eclov, Nicole Dalal, Sarah J. Stephens, Mary Malicki, Stacey Shields, Alyssa Cobb, Yvonne M. Mowery, Donna Niedzwiecki, Jessica D. Tenenbaum, Manisha Palta, Julian C. Hong |
| 2021 | AMIA | Longitudinal Data of Cancer Patients with Prior Mental Health Diagnoses Show Differences in Demographics, Emergency Visits, and Suicidality Rates. | Saira Somnay, William Chen, Lauren Boreta, Steve Braunstein, Julian C. Hong |
| 2018 | AMIA | Network analysis of chronological relationships of comorbidities in veterans from a prospective screening colonoscopy trial. | Julian C. Hong, Elizabeth Hauser, Thomas S. Redding, Kellie Sims, Ziad Gellad, Meghan O'Leary, Terry Hyslop, Ashton Madison, Xuejun Qin, David Weiss, A. J. Bullard, Reana Thomas, Christina Williams, Brian Sullivan, Marcus Johnson, Marsha Turner, David Lieberman, Dawn Provenzale |
| 2018 | AMIA | Natural language processing to identify patient symptoms during and prior to cancer therapy. | Julian C. Hong, Donna Niedzwiecki, Manisha Palta, Jessica D. Tenenbaum |