Yi Chen
Professor, Martin Tuchman School of Management
- yi.chen@njit.edu
- 973-596-6302
- 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
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
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
Conference Proceeding
"A Longitudinal Study of Extended User IDs in the Online Advertising Ecosystem"
ACM Internet Measurement Conference 2026, October (4th Quarter/Autumn), 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.
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.
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.
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.
Proceedings of the Twentieth International AAAI Conference on Web and Social Media (ICWSM), May, 2026.
"Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR"
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), May, 2026.
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), May, 2026.
"Explaining Clinical Outcome Prediction with Compositional Rationale Extraction Model"
In 2025 IEEE International Conference on Big Data (BigData)., December, 2025.
In 2025 IEEE International Conference on Big Data (BigData)., December, 2025.
"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.
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.
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.
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.
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.
IEEE International Conference on Big Data (IEEE BigData 2021), December, 2021.
"CBEx: A Hybrid Approach for Cancer Biomarker Extraction"
2020 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020), December, 2020.
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.
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.
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.
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.
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.
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.
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.
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.
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.
IEEE International Conference on Healthcare Informatics (ICHI), June, 2019.
"Patient Disease Identification in Clinical Notes"
IEEE International Conference on Healthcare Informatics (ICHI), June, 2018.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Big Uncertain Data (BUDA), June, 2014.
"Learning Thread Reply Structure on Patient Forum."
International Workshop on Data management & analytics for healthcare (DARE), November, 2013.
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.
The Sixth Workshop for Ph.D. Students at CIKM 2013, November, 2013.
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.
Chong Wang, Yi Chen. 2020. "Topical classification of domain names based on subword embeddings." Electronic Commerce Research and Applications, vol. 40, pp. 37.
Yunzhong Liu, Jinhe Shi, Yi Chen, . 2019. "Thread Structure Learning on Online Health Forums with Partially Labeled Data." IEEE Transactions on Computational Social Systems (TCSS), vol. 6, no. 6, pp. 1273 - 1282.
Chong Wang, Shuai Zhao, Achir Kalra, Cristian M. Borcea, Yi Chen. 2019. "Webpage Depth Viewability Prediction using Deep Sequential Neural Networks." IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, no. 3, pp. 601-614.
Brian Ackerman, Chong Wang, Yi Chen. 2018. "A Session-Specific Opportunity Cost Model for Rank-Oriented Recommendation." Journal of the Association for Information Science and Technology (JASIST), vol. 69, no. 10, pp. 1259-1270.
Chong Wang, Shuai Zhao, Achir Kalra, Cristian M. Borcea, Yi Chen. 2018. "Predictive Models and Analysis for Webpage Depth-level Dwell Time." Journal of the Association for Information Science and Technology (JASIST), vol. 69, no. 8, pp. 1007-1022.
Yunzhong Liu, Jinhe Shi, Yi Chen. 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), vol. 69, no. 2, pp. 215-228 .
Yi Chen, Zhengzheng Li, K. Barkaoui, N. Wu, Mengchu Zhou. 2017. "Compact Supervisory Control of Discrete Event Systems by Petri Nets With Data Inhibitor Arcs." IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 2, pp. 364-379.
Chong Wang, Achir Kalra, Li Zhou, Cristian M. Borcea, Yi Chen. 2017. "Probabilistic Models For Ad Viewability Prediction On The Web." IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 29, no. 9, pp. 2012 - 2025.
Yi Shan, Mingda Li, Yi Chen. 2017. "Constructing Target-Aware Results for Keyword Search on Knowledge Graph." Data & Knowledge Engineering Journal , vol. 110.
SUSHOVAN DE, Yuheng Hu, VENKATA VAMSIKRISHNA MEDURI, Yi Chen, SUBBARAO KAMBHAMPATI . 2016. "BayesWipe: A Scalable Probabilistic Framework for Improving Data Quality." ACm Journal of Data and Information Quality, vol. 8, no. 1.
Jianxin Li, Chengfei Liu, Jeffrey Xu Yu, Yi Chen, Timos K. Sellis, J. Shane Culpepper. 2015. "Personalized Influential Topic Search via Social Network Summarization." IEEE TKDE ( IEEE Transactions on Knowledge and Data Engineering), vol. 28, no. 7.
Yunzhong Liu, Yi Chen. 2013. "Patient-Centered Information Extraction for Effective Search on Healthcare Forum.." Lecture Notes in Computer Science / Springer , vol. 7812, pp. 175-183.
Ziyang Liu, Yi Chen. 2012. "Exploiting and Maintaining Materialized Views for XML Keyword Queries." ACM Transactions on Internet Technology (TOIT)/ACM, vol. 12, no. 2.
Yichuan Cai, Yi Chen. 2012. "Mining influential bloggers: From general to domain specific, from explicit to implicit." International Journal of Knowledge-Based and Intelligent Engineering Systems/IOS Press, vol. 16, no. 4, pp. 223-233.
W Lin, Q Zhu, W Gao, Yi Chen, C H Toh, M Styner, G Gerig, J K Smith, Bharat Biswal, J H Gilmore. 2008. "Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain.." AJNR. American journal of neuroradiology, vol. 29, no. 10, pp. 1883-9.
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.