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2020 – today
- 2024
[j5]Pawel Renc
, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero shot health trajectory prediction using transformer. npj Digit. Medicine 7(1) (2024)- [i5]Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia:
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection. CoRR abs/2405.06093 (2024) - [i4]Eric Yang, Jonathan Amar, Jong Ha Lee, Bhawesh Kumar, Yugang Jia:
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation. CoRR abs/2407.18044 (2024) - [i3]Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero Shot Health Trajectory Prediction Using Transformer. CoRR abs/2407.21124 (2024) - 2023
- [i2]Jackson A. Killian, Manish Jain, Yugang Jia, Jonathan Amar, Erich Huang, Milind Tambe:
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health. CoRR abs/2308.09726 (2023)
2010 – 2019
- 2019
- [j4]Tianzhong Yang, Yang Yang, Yugang Jia, Xiao Li:
Dynamic prediction of hospital admission with medical claim data. BMC Medical Informatics Decis. Mak. 19-S(1): 18:1-18:14 (2019) - [c12]Riyi Qiu, Vasu Kodali, Mark Homer, Andrew Heath, Zhaoqi Wu, Yugang Jia:
Predictive Modeling of Depression with a Large Claim Dataset. BIBM 2019: 1589-1595 - [i1]Riyi Qiu, Yugang Jia, Mirsad Hadzikadic, Michael Dulin, Xi Niu, Xin Wang:
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach. CoRR abs/1907.06162 (2019) - 2018
- [c11]Xin Wang, Yugang Jia, Merlijn Sevenster, Thomas A. Forsberg, Lucas Oliveira, Kirk Spencer:
Representation Learning of Finding Codes in Structured Echocardiogram Reporting. ICHI 2018: 429-431 - [c10]Yugang Jia, Xin Wang, Hanqing Cao, Boshu Ru, Tianzhong Yang:
An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge. eCOM@SIGIR 2018 - 2017
- [c9]Boshu Ru, Qingxin Wu, Xin Wang, Lixia Yao, Yugang Jia:
Integration of Accountable Care Organization and Additional Hospital Data into CMS Referral Analytics System. ICHI 2017: 357-361 - [c8]Eran Simhon, Yugang Jia:
Detecting Key Drivers for Long Length of Stay in Emergency Rooms. ICHI 2017: 444-447 - [c7]Wei Wang, Jun Li, Yugang Jia, Marcelo Santos:
Agent-based simulation and optimization of hospital utilization in a regional network. WSC 2017: 4531-4532 - 2016
- [c6]Xin Wang, Qingxin Wu, Xu Liu, Yugang Jia, Nathan Cohen:
Improvements on the Effectiveness and Scalibility of CMS Referral Analytics System. ICHI 2016: 289-292 - 2015
- [c5]Thomas A. Forsberg, Merlijn Sevenster, Szymon Bieganski, Puran Bhagat, Melvin Kanasseril, Yugang Jia, Kirk Spencer:
Automated mutual exclusion rules discovery for structured observational codes in echocardiography reporting. AMIA 2015 - [c4]Reza Sharifi Sedeh, Xianshu Zhu, Yugang Jia, Joey Liu, Oladimeji Farri, Daniel Elgort:
Drug Database Refinement Using Machine Learning and Text Analysis. AMIA 2015 - [c3]Yugang Jia, Xin Wang, Reza Sharifi Sedeh, Qingxin Wu, Nathan Cohen:
A Web-Based Application for Visualizing the CMS Referral Network. ICHI 2015: 501-503 - 2014
- [c2]Yugang Jia, Lin Li, Usha Nandini Raghavan, Nathan Cohen:
Readmission Leakage Risk Stratification with Associative Classification. AMIA 2014
2000 – 2009
- 2008
- [j3]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO Systems. IEEE Trans. Wirel. Commun. 7(3): 1052-1061 (2008) - 2007
- [j2]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO Systems. IEEE Trans. Wirel. Commun. 6(7): 2384-2389 (2007) - 2006
- [c1]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
SGA based symbol detection and EM channel estimation for MIMO systems. VTC Spring 2006: 1743-1747 - 2005
- [j1]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
Gaussian approximation based mixture reduction for near optimum detection in MIMO systems. IEEE Commun. Lett. 9(11): 997-999 (2005)
Coauthor Index
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