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
2024 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
CS 701B - MASTER'S THESIS
IS 790A - DOCT DISSERTATION & RES
MGMT 635 - DATA MINING&ANAL FOR MNGRS
BDS 725 - INDEPENDENT RESEARCH I
BDS 726 - INDEPENDENT RESEARCH II
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
IS 790A - DOCT DISSERTATION & RES
MGMT 635 - DATA MINING&ANAL FOR MNGRS
BDS 725 - INDEPENDENT RESEARCH I
BDS 726 - INDEPENDENT RESEARCH II
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
SHOW MORE
CBEx: A Hybrid Approach for Cancer Biomarker Extraction
2020 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020), December 2020
Privacy-Aware Federated Learning for Page Recommendation
2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020
Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes
2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020
A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities
29th ACM International Conference On Information and Knowledge Management (CIKM)., October (4th Quarter/Autumn) 2020
User and Context Integrated Experience Mining in Online Health Communities
CIKM 2020 (29th ACM International Conference On Information and Knowledge Management ), October (4th Quarter/Autumn) 2020
Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach
The 17th Annual IEEE International Conference on Sensing, Communication and Networking (SECON), June 2020
To be Tough or Soft: Measuring the Impact of Counter-Ad-blocking Strategies on User Engagement
Proceedings of The Web Conference 2020, April (2nd Quarter/Spring) 2020
Ad Blocking Whitelist Prediction for Online Publishers
The 2019 IEEE International Conference on Big Data (IEEE Big Data), December 2019
Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising
The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), August 2019
Analyzing Patient Decision Making in Online Health Communities
IEEE International Conference on Healthcare Informatics (ICHI), June 2019
Patient Disease Identification in Clinical Notes
IEEE International Conference on Healthcare Informatics (ICHI), June 2018
Keyword Search on Temporal Graphs
ICDE 2018 (34th IEEE International Conference on Data Engineering), April (2nd Quarter/Spring) 2018
Ad Blocking and Counter-Ad Blocking: Analysis of Online Ad Blocker Users
In Proceedings of the 23rd Americas Conference on Information Systems (AMCIS), August 2017
Personalized Influential Topic Search via Social Network Summarization.
IEEE International Conference on Data Engineering, (ICDE), April (2nd Quarter/Spring) 2017
Webpage Depth-level Dwell Time Prediction
In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM), November 2016
On Development and Optimization of Computing Workflows for Big Data Analytics in Brain Injury Research
Workshop on Data Science, Learning, and Applications to Biomedical & Health Sciences, January (1st Quarter/Winter) 2016
RORS: A Revenue-Optimized Recommender System
The IEEE International Conference on Data Mining series (ICDM) PhD Forum, November 2015
Ranking Friendly Result Composition for XML Keyword Search
The 34th International Conference on Conceptual Modeling (ER), October (4th Quarter/Autumn) 2015
Viewability Prediction for Online Display Ads
The 24th ACM International Conference on Information and Knowledge Management (CIKM), October (4th Quarter/Autumn) 2015
Context-Aware Experience Extraction from Online Health Forums
IEEE International Conference on Healthcare Informatics, October (4th Quarter/Autumn) 2015
Scalable Query Optimization for Efficient Data Processing using MapReduce
IEEE BigData Congress, June 2015
BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data
The 2014 IEEE BigData, October (4th Quarter/Autumn) 2014
Connecting the Dots: Discovering Knowledge from Online Healthcare Forums
The 16th International Conference on Electronic Commerce (ICEC 2014), August 2014
BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data
Big Uncertain Data (BUDA), June 2014
Learning Thread Reply Structure on Patient Forum.
International Workshop on Data management & analytics for healthcare (DARE), November 2013
Patient-Centric, Multi-Role, and Multi-Dimension Information Exploration on Online Healthcare Forum
The Sixth Workshop for Ph.D. Students at CIKM 2013, November 2013
2020 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020), December 2020
Privacy-Aware Federated Learning for Page Recommendation
2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020
Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes
2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020
A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities
29th ACM International Conference On Information and Knowledge Management (CIKM)., October (4th Quarter/Autumn) 2020
User and Context Integrated Experience Mining in Online Health Communities
CIKM 2020 (29th ACM International Conference On Information and Knowledge Management ), October (4th Quarter/Autumn) 2020
Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach
The 17th Annual IEEE International Conference on Sensing, Communication and Networking (SECON), June 2020
To be Tough or Soft: Measuring the Impact of Counter-Ad-blocking Strategies on User Engagement
Proceedings of The Web Conference 2020, April (2nd Quarter/Spring) 2020
Ad Blocking Whitelist Prediction for Online Publishers
The 2019 IEEE International Conference on Big Data (IEEE Big Data), December 2019
Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising
The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), August 2019
Analyzing Patient Decision Making in Online Health Communities
IEEE International Conference on Healthcare Informatics (ICHI), June 2019
Patient Disease Identification in Clinical Notes
IEEE International Conference on Healthcare Informatics (ICHI), June 2018
Keyword Search on Temporal Graphs
ICDE 2018 (34th IEEE International Conference on Data Engineering), April (2nd Quarter/Spring) 2018
Ad Blocking and Counter-Ad Blocking: Analysis of Online Ad Blocker Users
In Proceedings of the 23rd Americas Conference on Information Systems (AMCIS), August 2017
Personalized Influential Topic Search via Social Network Summarization.
IEEE International Conference on Data Engineering, (ICDE), April (2nd Quarter/Spring) 2017
Webpage Depth-level Dwell Time Prediction
In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM), November 2016
On Development and Optimization of Computing Workflows for Big Data Analytics in Brain Injury Research
Workshop on Data Science, Learning, and Applications to Biomedical & Health Sciences, January (1st Quarter/Winter) 2016
RORS: A Revenue-Optimized Recommender System
The IEEE International Conference on Data Mining series (ICDM) PhD Forum, November 2015
Ranking Friendly Result Composition for XML Keyword Search
The 34th International Conference on Conceptual Modeling (ER), October (4th Quarter/Autumn) 2015
Viewability Prediction for Online Display Ads
The 24th ACM International Conference on Information and Knowledge Management (CIKM), October (4th Quarter/Autumn) 2015
Context-Aware Experience Extraction from Online Health Forums
IEEE International Conference on Healthcare Informatics, October (4th Quarter/Autumn) 2015
Scalable Query Optimization for Efficient Data Processing using MapReduce
IEEE BigData Congress, June 2015
BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data
The 2014 IEEE BigData, October (4th Quarter/Autumn) 2014
Connecting the Dots: Discovering Knowledge from Online Healthcare Forums
The 16th International Conference on Electronic Commerce (ICEC 2014), August 2014
BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data
Big Uncertain Data (BUDA), June 2014
Learning Thread Reply Structure on Patient Forum.
International Workshop on Data management & analytics for healthcare (DARE), November 2013
Patient-Centric, Multi-Role, and Multi-Dimension Information Exploration on Online Healthcare Forum
The Sixth Workshop for Ph.D. Students at CIKM 2013, November 2013
COLLAPSE
Journal Article
Zhao, Shuai, & Chen, Michael, & Borcea, Cristian M., & Chen, Yi (2023). Personalized Dynamic Counter Ad-Blocking Using Deep Learning. IEEE Transactions on Knowledge and Data Engineering, 35(8), 14.
Li, Mingda, & Rapp, William V., & Chen, Yi (2023). Rethinking Worrying about the Stock Market, but Instead Anxious about Employment. Journal of Corporate Accounting & Finance, Volume 34(Issue 3), 109-123.
Li, Mingda, & Shi, Jinhe, & Chen, Yi (2022). Identifying Influences in Patient Decision-making Processes in Online Health Communities: Data Science Approach. Journal of Medical Internet Research, 24(8),
Shi, Jinhe , & Gao, Xiangyu, & Kinsman, William C., & Ha, Chenyu, & Gao, Guodong Gordon, & Chen, Yi (2022). DI++: A deep learning system for patient condition identification in clinical notes. Artificial Intelligence in Medicine, 123,
Wang, Chong, & Chen, Yi (2020). Topical classification of domain names based on subword embeddings. Electronic Commerce Research and Applications, 40, 37.
Li, Mingda, & Rapp, William V., & Chen, Yi (2023). Rethinking Worrying about the Stock Market, but Instead Anxious about Employment. Journal of Corporate Accounting & Finance, Volume 34(Issue 3), 109-123.
Li, Mingda, & Shi, Jinhe, & Chen, Yi (2022). Identifying Influences in Patient Decision-making Processes in Online Health Communities: Data Science Approach. Journal of Medical Internet Research, 24(8),
Shi, Jinhe , & Gao, Xiangyu, & Kinsman, William C., & Ha, Chenyu, & Gao, Guodong Gordon, & Chen, Yi (2022). DI++: A deep learning system for patient condition identification in clinical notes. Artificial Intelligence in Medicine, 123,
Wang, Chong, & Chen, Yi (2020). Topical classification of domain names based on subword embeddings. Electronic Commerce Research and Applications, 40, 37.
SHOW MORE
Liu, Yunzhong, & Shi, Jinhe, & Chen, Yi (2019). Thread Structure Learning on Online Health Forums with Partially Labeled Data. IEEE Transactions on Computational Social Systems (TCSS), 6(6), 1273 - 1282.
Wang, Chong, & Zhao, Shuai, & Kalra, Achir, & Borcea, Cristian M., & Chen, Yi (2019). Webpage Depth Viewability Prediction using Deep Sequential Neural Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(3), 601-614.
Ackerman, Brian, & Wang, Chong, & Chen, Yi (2018). A Session-Specific Opportunity Cost Model for Rank-Oriented Recommendation. Journal of the Association for Information Science and Technology (JASIST), 69(10), 1259-1270.
Wang, Chong, & Zhao, Shuai, & Kalra, Achir, & Borcea, Cristian M., & Chen, Yi (2018). Predictive Models and Analysis for Webpage Depth-level Dwell Time. Journal of the Association for Information Science and Technology (JASIST), 69(8), 1007-1022.
Liu, Yunzhong, & Shi, Jinhe, & Chen, Yi (2018). Patient-Centered and Experience-Aware Mining for Effective Adverse Drug Reaction Discovery in Online Health Forums. Journal of the Association for Information Science and Technology (JASIST), 69(2), 215-228 .
Chen, Yi, & Li, Zhengzheng, & Barkaoui, K., & Wu, N., & Zhou, Mengchu (2017). Compact Supervisory Control of Discrete Event Systems by Petri Nets With Data Inhibitor Arcs. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(2), 364-379.
Wang, Chong, & Kalra, Achir, & Zhou, Li, & Borcea, Cristian M., & Chen, Yi (2017). Probabilistic Models For Ad Viewability Prediction On The Web. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(9), 2012 - 2025.
Shan, Yi, & Li, Mingda , & Chen, Yi (2017). Constructing Target-Aware Results for Keyword Search on Knowledge Graph. Data & Knowledge Engineering Journal , 110,
DE, SUSHOVAN , & Hu, Yuheng , & MEDURI, VENKATA VAMSIKRISHNA, & Chen, Yi (2016). BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality. ACm Journal of Data and Information Quality, 8(1),
Li, Jianxin, & Liu, Chengfei, & Yu, Jeffrey Xu, & Chen, Yi, & Sellis, Timos K., & Culpepper, J. Shane (2015). Personalized Influential Topic Search via Social Network Summarization. IEEE TKDE ( IEEE Transactions on Knowledge and Data Engineering), 28(7),
Liu, Yunzhong, & Chen, Yi (2013). Patient-Centered Information Extraction for Effective Search on Healthcare Forum.. Lecture Notes in Computer Science / Springer , 7812, 175-183.
Liu, Ziyang, & Chen, Yi (2012). Exploiting and Maintaining Materialized Views for XML Keyword Queries. ACM Transactions on Internet Technology (TOIT)/ACM, 12(2),
Cai, Yichuan, & Chen, Yi (2012). Mining influential bloggers: From general to domain specific, from explicit to implicit. International Journal of Knowledge-Based and Intelligent Engineering Systems/IOS Press, 16(4), 223-233.
Lin, W, & Zhu, Q, & Gao, W, & Chen, Yi, & Toh, C H, & Styner, M, & Gerig, G, & Smith, J K, & Biswal, Bharat, & Gilmore, J H (2008). Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain.. AJNR. American journal of neuroradiology, 29(10), 1883-9.
Wang, Chong, & Zhao, Shuai, & Kalra, Achir, & Borcea, Cristian M., & Chen, Yi (2019). Webpage Depth Viewability Prediction using Deep Sequential Neural Networks. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(3), 601-614.
Ackerman, Brian, & Wang, Chong, & Chen, Yi (2018). A Session-Specific Opportunity Cost Model for Rank-Oriented Recommendation. Journal of the Association for Information Science and Technology (JASIST), 69(10), 1259-1270.
Wang, Chong, & Zhao, Shuai, & Kalra, Achir, & Borcea, Cristian M., & Chen, Yi (2018). Predictive Models and Analysis for Webpage Depth-level Dwell Time. Journal of the Association for Information Science and Technology (JASIST), 69(8), 1007-1022.
Liu, Yunzhong, & Shi, Jinhe, & Chen, Yi (2018). Patient-Centered and Experience-Aware Mining for Effective Adverse Drug Reaction Discovery in Online Health Forums. Journal of the Association for Information Science and Technology (JASIST), 69(2), 215-228 .
Chen, Yi, & Li, Zhengzheng, & Barkaoui, K., & Wu, N., & Zhou, Mengchu (2017). Compact Supervisory Control of Discrete Event Systems by Petri Nets With Data Inhibitor Arcs. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(2), 364-379.
Wang, Chong, & Kalra, Achir, & Zhou, Li, & Borcea, Cristian M., & Chen, Yi (2017). Probabilistic Models For Ad Viewability Prediction On The Web. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(9), 2012 - 2025.
Shan, Yi, & Li, Mingda , & Chen, Yi (2017). Constructing Target-Aware Results for Keyword Search on Knowledge Graph. Data & Knowledge Engineering Journal , 110,
DE, SUSHOVAN , & Hu, Yuheng , & MEDURI, VENKATA VAMSIKRISHNA, & Chen, Yi (2016). BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality. ACm Journal of Data and Information Quality, 8(1),
Li, Jianxin, & Liu, Chengfei, & Yu, Jeffrey Xu, & Chen, Yi, & Sellis, Timos K., & Culpepper, J. Shane (2015). Personalized Influential Topic Search via Social Network Summarization. IEEE TKDE ( IEEE Transactions on Knowledge and Data Engineering), 28(7),
Liu, Yunzhong, & Chen, Yi (2013). Patient-Centered Information Extraction for Effective Search on Healthcare Forum.. Lecture Notes in Computer Science / Springer , 7812, 175-183.
Liu, Ziyang, & Chen, Yi (2012). Exploiting and Maintaining Materialized Views for XML Keyword Queries. ACM Transactions on Internet Technology (TOIT)/ACM, 12(2),
Cai, Yichuan, & Chen, Yi (2012). Mining influential bloggers: From general to domain specific, from explicit to implicit. International Journal of Knowledge-Based and Intelligent Engineering Systems/IOS Press, 16(4), 223-233.
Lin, W, & Zhu, Q, & Gao, W, & Chen, Yi, & Toh, C H, & Styner, M, & Gerig, G, & Smith, J K, & Biswal, Bharat, & Gilmore, J H (2008). Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain.. AJNR. American journal of neuroradiology, 29(10), 1883-9.
COLLAPSE
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