Yi Chen
Professor of Business Data Science, MT School of Management
Leir Chair in Healthcare
Leir Chair in Healthcare
4028 Central Avenue Building (CAB)
Education
Ph.D.
; University of Pennsylvania
; Computer Science
; 2005
M.S. ; University of Pennsylvania ; Computer Science ; 2000
B.S. ; Central South University, China ; Computer Science ; 1999
M.S. ; University of Pennsylvania ; Computer Science ; 2000
B.S. ; Central South University, China ; Computer Science ; 1999
Awards & Honors
2023 Distinguished Associate Editors, The Very Large Data Base Endowment (VLDB)
Website
2025 Fall Courses
BDS 792B - PRE-DOCTORAL RESEARCH
CS 726 - INDEPENDENT STUDY II
IS 488 - INDEPENDENT STUDY IN INFO
IS 489 - INFO UNDERGRAD THESIS RESEARCH
MIS 363 - PROJCT MNGMNT FOR MANAGERS
BDS 726 - INDEPENDENT STUDY II
CS 701B - MASTER'S THESIS
BDS 725 - INDEPENDENT STUDY I
IS 790A - DOCT DISSERTATION & RES
MGMT 635 - DATA MINING&ANAL FOR MNGRS
CS 488 - INDEPENDENT STUDY IN CS
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 790A - DOCT DISSERTATION & RES
IS 701B - MASTER'S THESIS
CS 700B - MASTER'S PROJECT
IS 700B - MASTER'S PROJECT
IS 726 - INDEPENDENT STUDY II
IS 792 - PRE-DOCTORAL RESEARCH
IT 488 - INDEPENDENT STUDY
IS 776 - IS RESEARCH STUDY
IS 491 - SENIOR PROJECT - IS
IS 725 - INDEPENDENT STUDY I
BDS 790A - DOCTORAL DISSERTATION & RES
CS 725 - INDEPENDENT STUDY I
CS 792 - PRE-DOCTORAL RESEARCH
CS 726 - INDEPENDENT STUDY II
IS 488 - INDEPENDENT STUDY IN INFO
IS 489 - INFO UNDERGRAD THESIS RESEARCH
MIS 363 - PROJCT MNGMNT FOR MANAGERS
BDS 726 - INDEPENDENT STUDY II
CS 701B - MASTER'S THESIS
BDS 725 - INDEPENDENT STUDY I
IS 790A - DOCT DISSERTATION & RES
MGMT 635 - DATA MINING&ANAL FOR MNGRS
CS 488 - INDEPENDENT STUDY IN CS
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 790A - DOCT DISSERTATION & RES
IS 701B - MASTER'S THESIS
CS 700B - MASTER'S PROJECT
IS 700B - MASTER'S PROJECT
IS 726 - INDEPENDENT STUDY II
IS 792 - PRE-DOCTORAL RESEARCH
IT 488 - INDEPENDENT STUDY
IS 776 - IS RESEARCH STUDY
IS 491 - SENIOR PROJECT - IS
IS 725 - INDEPENDENT STUDY I
BDS 790A - DOCTORAL DISSERTATION & RES
CS 725 - INDEPENDENT STUDY I
CS 792 - PRE-DOCTORAL RESEARCH
Past Courses
MGMT 190: INDUSTRIAL ORGAN & MANAG
MGMT 635: DATA MINING AND ANALYSIS
MIS 363: PROJCT MNGMNT FOR MANAGERS
MIS 363: PROJECT MANAGEMENT FOR MANAGERS
MIS 791: DOCTORAL SEMINAR
MGMT 635: DATA MINING AND ANALYSIS
MIS 363: PROJCT MNGMNT FOR MANAGERS
MIS 363: PROJECT MANAGEMENT FOR MANAGERS
MIS 791: DOCTORAL SEMINAR
Conference Proceeding
"Compositional and Hierarchical Semantic Learning Model for Hospital Readmission Prediction"
CIKM '2024: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, October (4th Quarter/Autumn), 2024.
"A Study of GDPR Compliance under the Transparency and Consent Framework"
International World Wide Web Conference (Web 2024), May, 2024.
"BioReX: Biomarker Information Extraction Inspired by Aspect-Based Sentiment Analysis"
PAKDD'2024: The Pacific-Asia Conference on Knowledge Discovery and Data Mining, May, 2024.
"Reserve Price Optimization in First-Price Auctions via Multi-Task Learning"
ICDM 2023: 23rd IEEE International Conference on Data Mining, December, 2023.
"Federated Meta-Location Learning for Fine-Grained Location Prediction"
IEEE International Conference on Big Data (IEEE BigData 2021), December, 2021.
CIKM '2024: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, October (4th Quarter/Autumn), 2024.
"A Study of GDPR Compliance under the Transparency and Consent Framework"
International World Wide Web Conference (Web 2024), May, 2024.
"BioReX: Biomarker Information Extraction Inspired by Aspect-Based Sentiment Analysis"
PAKDD'2024: The Pacific-Asia Conference on Knowledge Discovery and Data Mining, May, 2024.
"Reserve Price Optimization in First-Price Auctions via Multi-Task Learning"
ICDM 2023: 23rd IEEE International Conference on Data Mining, December, 2023.
"Federated Meta-Location Learning for Fine-Grained Location Prediction"
IEEE International Conference on Big Data (IEEE BigData 2021), December, 2021.
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Journal Article
Shuai Zhao, Michael Chen, Cristian M. Borcea, Yi Chen.
2023. "Personalized Dynamic Counter Ad-Blocking Using Deep Learning."
IEEE Transactions on Knowledge and Data Engineering , vol. 35 , no. 8 , pp. 14.
Mingda Li, William V. Rapp, Yi Chen. 2023. "Rethinking Worrying about the Stock Market, but Instead Anxious about Employment." Journal of Corporate Accounting & Finance , vol. Volume 34 , no. Issue 3 , pp. 109-123.
Mingda Li, Jinhe Shi, Yi Chen. 2022. "Identifying Influences in Patient Decision-making Processes in Online Health Communities: Data Science Approach." Journal of Medical Internet Research , vol. 24 , no. 8 .
Jinhe Shi, Xiangyu Gao, William C. Kinsman, Chenyu Ha, Guodong Gordon Gao, Yi Chen. 2022. "DI++: A deep learning system for patient condition identification in clinical notes." Artificial Intelligence in Medicine , vol. 123 .
Chong Wang, Yi Chen. 2020. "Topical classification of domain names based on subword embeddings." Electronic Commerce Research and Applications , vol. 40 , pp. 37.
Mingda Li, William V. Rapp, Yi Chen. 2023. "Rethinking Worrying about the Stock Market, but Instead Anxious about Employment." Journal of Corporate Accounting & Finance , vol. Volume 34 , no. Issue 3 , pp. 109-123.
Mingda Li, Jinhe Shi, Yi Chen. 2022. "Identifying Influences in Patient Decision-making Processes in Online Health Communities: Data Science Approach." Journal of Medical Internet Research , vol. 24 , no. 8 .
Jinhe Shi, Xiangyu Gao, William C. Kinsman, Chenyu Ha, Guodong Gordon Gao, Yi Chen. 2022. "DI++: A deep learning system for patient condition identification in clinical notes." Artificial Intelligence in Medicine , vol. 123 .
Chong Wang, Yi Chen. 2020. "Topical classification of domain names based on subword embeddings." Electronic Commerce Research and Applications , vol. 40 , pp. 37.
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Conference Abstract
"A Novel Deep Learning System for Patient Disease Extraction in Clinical Notes"
7th International Big Data & Analytics Education, June, 2019.
7th International Big Data & Analytics Education, June, 2019.