Yi Chen
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 Spring 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
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 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
IS 776 - IS RESEARCH STUDY
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
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 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
IS 776 - IS RESEARCH STUDY
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 '24: 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.
“Pathology Biomarker Information Extraction with BERT Post-Training and Attention Models”
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), May 2024.
“Reserve Price Optimization in First-Price Auctions via Multi-Task Learning”
23rd IEEE International Conference on Data Mining (ICDM 2023), December 2023.
“Federated Meta-Location Learning for Fine-Grained Location Prediction”
IEEE International Conference on Big Data (IEEE BigData 2021), December 2021.
CIKM '24: 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.
“Pathology Biomarker Information Extraction with BERT Post-Training and Attention Models”
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), May 2024.
“Reserve Price Optimization in First-Price Auctions via Multi-Task Learning”
23rd IEEE International Conference on Data Mining (ICDM 2023), 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.