Jiaming Zeng

Cited by

	All	Since 2019
Citations	523	444
h-index	6	6
i10-index	6	6

140

105

2016201720182019202020212022202320249 13 49 48 55 75 99 134 32

Public access

View all

3 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Berk UstunUCSDVerified email at ucsd.edu
Ross D ShachterAssociate Professor of Management Science and Engineering, Stanford UniversityVerified email at stanford.edu
Michael F. GensheimerStanford UniversityVerified email at stanford.edu
Imon BanerjeeMayo Clinic, AZVerified email at mayo.edu
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
Charles SenteioAssistant Professor in Library and Information Science, Rutgers University School of Information andVerified email at rutgers.edu
Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
Kenrick D CatoProfessor Informatics and Nurse Scientist for Pediatric Data and AnalyticsVerified email at upenn.edu
Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessVerified email at stanford.edu
Jose M. AlvarezNVIDIAVerified email at nvidia.com
Adam LesnikowskiIndependentVerified email at nvidia.com
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
Karan BhanotComputer Science PhD Student, Rensselaer Polytechnic InstituteVerified email at rpi.edu
Dennis WeiIBM ResearchVerified email at us.ibm.com
Elizabeth Burnside M.D., MPH, M.S.Professor of Radiology, University of Wisconsin School of Medicine and Public HealthVerified email at uwhealth.org
Francisco GimenezPhD Student, Stanford UniversityVerified email at stanford.edu

Jiaming Zeng

AKASA

Verified email at alumni.stanford.edu - Homepage

Natural Language Processing Causal Inference Medical Decision Making Quantifying Uncertainty


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Interpretable classification models for recidivism prediction J Zeng, B Ustun, C Rudin Journal of the Royal Statistical Society Series A 180 (3), 689-722, 2017	295	2017
Automated detection of rockfish in unconstrained underwater videos using haar cascades and a new image dataset: Labeled fishes in the wild G Cutter, K Stierhoff, J Zeng 2015 IEEE Winter Applications and Computer Vision Workshops, 57-62, 2015	98	2015
Write it like you see it: Detectable differences in clinical notes by race lead to differential model recommendations H Adam, MY Yang, K Cato, I Baldini, C Senteio, LA Celi, J Zeng, M Singh, ... Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 7-21, 2022	31	2022
Natural language processing to identify cancer treatments with electronic medical records J Zeng, I Banerjee, AS Henry, DJ Wood, RD Shachter, MF Gensheimer, ... JCO Clinical Cancer Informatics 5, 379-393, 2021	30	2021
Uncovering interpretable potential confounders in electronic medical records J Zeng, MF Gensheimer, DL Rubin, S Athey, RD Shachter Nature communications 13 (1), 1014, 2022	29	2022
The relevance of Bayesian layer positioning to model uncertainty in deep Bayesian active learning J Zeng, A Lesnikowski, JM Alvarez Third workshop on Bayesian Deep Learning, NeurIPS 2018, 2018	26	2018
A probabilistic model to support radiologists’ classification decisions in mammography practice J Zeng, F Gimenez, ES Burnside, DL Rubin, R Shachter Medical Decision Making 39 (3), 208-216, 2019	6	2019
Downstream Fairness Caveats with Synthetic Healthcare Data K Bhanot, I Baldini, D Wei, J Zeng, KP Bennett Conference on Health, Inference, and Learning (CHIL), 2022	3	2022
Developing a machine learning tool for dynamic cancer treatment strategies J Zeng Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13742 …, 2020	2	2020
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities K Bhanot, I Baldini, D Wei, J Zeng, K Bennett Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 764-774, 2023	1	2023
Stress-testing Fairness Mitigation Techniques under Distribution Shift using Synthetic Data K Bhanot, I Baldini, D Wei, J Zeng, K Bennett Processings of the 2022 Knowledge Discovery in Databases (KDD), 2022	1*	2022
Cancer treatment classification with electronic medical health records (student abstract) J Zeng, I Banerjee, M Gensheimer, D Rubin Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13981 …, 2020	1	2020
Evaluating Fairness of Synthetic Healthcare Data Models KPB K. Bhanot, I. Baldini, D. Wei, J. Zeng AMIA Annual Symposium, 2022		2022
Mining Electronic Medical Records for Cancer Treatment Decisions J Zeng Stanford University, 2021		2021
1 Research Projects J Zeng

The system can't perform the operation now. Try again later.

Articles 1–15

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors