Yi Chen
Professor, Martin Tuchman School of Management
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
2026 Fall Courses
BDS 792B - PRE-DOCTORAL RESEARCH
CS 726 - INDEPENDENT STUDY II
IS 488 - INDEPENDENT STUDY IN INFO
IS 489 - INFO UNDERGRAD THESIS RESEARCH
CS 701B - MASTER'S THESIS
IS 790A - DOCT DISSERTATION & RES
BDS 725 - INDEPENDENT RESEARCH I
BDS 726 - INDEPENDENT RESEARCH II
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
CS 701B - MASTER'S THESIS
IS 790A - DOCT DISSERTATION & RES
BDS 725 - INDEPENDENT RESEARCH I
BDS 726 - INDEPENDENT RESEARCH II
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
"A Longitudinal Study of Extended User IDs in the Online Advertising Ecosystem"
ACM Internet Measurement Conference 2026, October (4th Quarter/Autumn), 2026.
"How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews"
ACM SIGIR Conference on Research and Development in Information Retrieval., July (3rd Quarter/Summer), 2026.
"Multilingual Disparities in LLM-Based Safety Judgments: Evidence from Brand Safety Applications"
The 1st Workshop on Multilinguality in the Era of Large Language Models, associated with ACL, July (3rd Quarter/Summer), 2026.
"Zero-shot Large Language Models for Automatic Readability Assessment"
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1), July (3rd Quarter/Summer), 2026.
"Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services"
Proceedings of the Twentieth International AAAI Conference on Web and Social Media (ICWSM), May, 2026.
ACM Internet Measurement Conference 2026, October (4th Quarter/Autumn), 2026.
"How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews"
ACM SIGIR Conference on Research and Development in Information Retrieval., July (3rd Quarter/Summer), 2026.
"Multilingual Disparities in LLM-Based Safety Judgments: Evidence from Brand Safety Applications"
The 1st Workshop on Multilinguality in the Era of Large Language Models, associated with ACL, July (3rd Quarter/Summer), 2026.
"Zero-shot Large Language Models for Automatic Readability Assessment"
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1), July (3rd Quarter/Summer), 2026.
"Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services"
Proceedings of the Twentieth International AAAI Conference on Web and Social Media (ICWSM), May, 2026.
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Journal Article
Michael K. Chen, Shuai Zhao, Cristian M. Borcea, Yi Chen.
2025. "A field study on the impact of the counter ad-blocking wall strategy on user engagement."
Decision Support Systems , vol. 198 .
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 .
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 .
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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.