Brook Wu
Brook Wu
(Brook Wu; Yi-fang Brook Wu) Associate Professor, Informatics
Associate Dean for Academic Affairs
Associate Dean for Academic Affairs
5107 Guttenberg Information Technologies Center (GITC)
About Me
Brook Wu received her M.S. in Information Resources Management from Syracuse University and her Ph.D. in Information Science from State University of New York at Albany. Her current research interests include: text mining, information extraction, knowledge organization, information retrieval, and natural language processing. More specifically, she is working on research topics such as fake news early detection on social media, and developing an automated feedback system to support student learning in a Writing-to-Learn environment.
Education
Ph.D.; SUNY at Albany; Information Science; 2001
M.S.; Syracuse University; Information Resources Management; 1996
B.B.A.; Tamkang University; Management Information Systems; 1993
M.S.; Syracuse University; Information Resources Management; 1996
B.B.A.; Tamkang University; Management Information Systems; 1993
Website
2024 Fall Courses
IS 792 - PRE-DOCTORAL RESEARCH
YWCC 591 - GRADUATE CO-OP WORK EXPER II
YWCC 592 - GRADUATE CO-OP WORK EXPER III
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 790A - DOCT DISSERTATION & RES
YWCC 590 - GRADUATE CO-OP WORK EXPER I
IS 488 - INDEPENDENT STUDY IN INFO
IS 700B - MASTER'S PROJECT
IS 776 - IS RESEARCH STUDY
IS 701B - MASTER'S THESIS
IS 726 - INDEPENDENT STUDY II
IS 725 - INDEPENDENT STUDY I
YWCC 591 - GRADUATE CO-OP WORK EXPER II
YWCC 592 - GRADUATE CO-OP WORK EXPER III
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 790A - DOCT DISSERTATION & RES
YWCC 590 - GRADUATE CO-OP WORK EXPER I
IS 488 - INDEPENDENT STUDY IN INFO
IS 700B - MASTER'S PROJECT
IS 776 - IS RESEARCH STUDY
IS 701B - MASTER'S THESIS
IS 726 - INDEPENDENT STUDY II
IS 725 - INDEPENDENT STUDY I
Teaching Interests
Information Retrieval, Text Mining, Introductory to Information Systems.
Past Courses
IS 245: INFORMATION TECHNOLOGY SYSTEMS
IS 265: INTRO TO INFORMATION SYSTEMS
IS 265: INTRODUCTION TO INFORMATION SYSTEMS
IS 392: WEB MINING & INFOR RETRIEVAL
IS 634: INFORMATION RETRIEVAL
IS 677: INFORMATION SYSTEM PRINCIPLES
IS 788: INFO SYSTEM PHD SEMINAR
IS 791: DOCTORAL SEMINAR
IS 265: INTRO TO INFORMATION SYSTEMS
IS 265: INTRODUCTION TO INFORMATION SYSTEMS
IS 392: WEB MINING & INFOR RETRIEVAL
IS 634: INFORMATION RETRIEVAL
IS 677: INFORMATION SYSTEM PRINCIPLES
IS 788: INFO SYSTEM PHD SEMINAR
IS 791: DOCTORAL SEMINAR
Research Interests
text mining, information extraction, knowledge representation, information retrieval, and fake news early detection.
Journal Article
Liu, Yang, & Xiong, Wei, & Xiong, Ye, & Wu, Yi-Fang Brook (2023). Generating Timely Individualized Feedback to Support Student Learning of Conceptual Knowledge in Writing-to-Learn Activities. Journal of Computers in Education, 1-33.
Liu, Yang, & Wu, Yi-Fang (2020). FNED: A Deep Network for Fake News Early Detection on Social Media. ACM Transactions on Information Systems (TOIS), 38(3), 33.
Tsai, P J, & Chen, S C, & Hsu, C Y, & Wu, C W, & Wu, Brook, & Hung, C S, & Yang, A C, & Liu, P Y, & Biswal, Bharat, & Lin, C P (2014). Local awakening: regional reorganizations of brain oscillations after sleep.. NeuroImage, 102 Pt 2, 894-903.
Duan, Lian, & Xu, Songhua, & Wu, Brook Selecting the Right Correlation Measure for Binary Data. ACM Transactions on Knowledge Discovery from Data,
Wu, C W, & Liu, P Y, & Tsai, P J, & Wu, Brook, & Hung, C S, & Tsai, Y C, & Cho, K H, & Biswal, Bharat, & Chen, C J, & Lin, C P (2012). Variations in connectivity in the sensorimotor and default-mode networks during the first nocturnal sleep cycle.. Brain connectivity, 2(4), 177-90.
Liu, Yang, & Wu, Yi-Fang (2020). FNED: A Deep Network for Fake News Early Detection on Social Media. ACM Transactions on Information Systems (TOIS), 38(3), 33.
Tsai, P J, & Chen, S C, & Hsu, C Y, & Wu, C W, & Wu, Brook, & Hung, C S, & Yang, A C, & Liu, P Y, & Biswal, Bharat, & Lin, C P (2014). Local awakening: regional reorganizations of brain oscillations after sleep.. NeuroImage, 102 Pt 2, 894-903.
Duan, Lian, & Xu, Songhua, & Wu, Brook Selecting the Right Correlation Measure for Binary Data. ACM Transactions on Knowledge Discovery from Data,
Wu, C W, & Liu, P Y, & Tsai, P J, & Wu, Brook, & Hung, C S, & Tsai, Y C, & Cho, K H, & Biswal, Bharat, & Chen, C J, & Lin, C P (2012). Variations in connectivity in the sensorimotor and default-mode networks during the first nocturnal sleep cycle.. Brain connectivity, 2(4), 177-90.
Conference Proceeding
Understanding Students’ Perceptions of an Automated Feedback System: an Empirical Study Based on UTAUT
Twenty-fifth Americas Conference on Information Systems, August 2019
Early Detection of Fake News on Social Media through Propagation Path Classification with Recurrent and Convolutional Networks
AAAI, February 2018
Write-and-learn: promoting meaningful learning through concept map-based formative feedback on writing assignments
ACM, March 2017
Graph-based Link Prediction in Cross-session Task Identification
2015 International Conference on Data Mining (DMIN 2015), July (3rd Quarter/Summer) 2015
Learning to Rank with only Positive Examples
Proceedings of the13th International Conference on Machine Learning and Applications (ICMLA 2014), December 2014
Twenty-fifth Americas Conference on Information Systems, August 2019
Early Detection of Fake News on Social Media through Propagation Path Classification with Recurrent and Convolutional Networks
AAAI, February 2018
Write-and-learn: promoting meaningful learning through concept map-based formative feedback on writing assignments
ACM, March 2017
Graph-based Link Prediction in Cross-session Task Identification
2015 International Conference on Data Mining (DMIN 2015), July (3rd Quarter/Summer) 2015
Learning to Rank with only Positive Examples
Proceedings of the13th International Conference on Machine Learning and Applications (ICMLA 2014), December 2014
SHOW MORE
User Profiling for Query Refinement
Proceedings of 2014 Americas Conference on Information Systems, August 2014
Personalizing Query Refinement Based on Latent Tasks
Proceedings of 2014 International Conference on Data Mining, July (3rd Quarter/Summer) 2014
Positive Unlabeled Learning to Discover Relevant Documents Using Topic Models for Feature Selection
Proceedings of the 10th International Conference on Data Mining, July (3rd Quarter/Summer) 2014
Topic Model based Query Intent Prediction for Search by Multiple Examples
Proceedings of the 16th International Conference on Artificial Intelligence, July (3rd Quarter/Summer) 2014
Search by multiple examples
Proceedings of the 7th ACM International Conference on Web Search and Data Mining, February 2014
IFME: information filtering by multiple examples with under-sampling in a digital library environment
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries, July (3rd Quarter/Summer) 2013
Improving Access to Digital Library Resources by Automatically Generating Complete Reading Level Metadata
Americas Conference on Information Systems, August 2012
"Leveraging Social Network Data to Support Faculty Mentoring: Best Practices."
Women in Engineering Program Advocates Network (WEPAN) National Conference, June 2012
A Partial Order Based Active Cache for Recommender Systems
Third ACM Conference on Recommender Systems, November 2009
Search Personalization: Knowledge-Based Recommendation in Digital Libraries
Americas Conference on Information Systems, San Francisco, August 2009
GRE: Hybrid Recommendations for NSDL Collections
Joint Conference on Digital Libraries, June 2009
Proceedings of 2014 Americas Conference on Information Systems, August 2014
Personalizing Query Refinement Based on Latent Tasks
Proceedings of 2014 International Conference on Data Mining, July (3rd Quarter/Summer) 2014
Positive Unlabeled Learning to Discover Relevant Documents Using Topic Models for Feature Selection
Proceedings of the 10th International Conference on Data Mining, July (3rd Quarter/Summer) 2014
Topic Model based Query Intent Prediction for Search by Multiple Examples
Proceedings of the 16th International Conference on Artificial Intelligence, July (3rd Quarter/Summer) 2014
Search by multiple examples
Proceedings of the 7th ACM International Conference on Web Search and Data Mining, February 2014
IFME: information filtering by multiple examples with under-sampling in a digital library environment
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries, July (3rd Quarter/Summer) 2013
Improving Access to Digital Library Resources by Automatically Generating Complete Reading Level Metadata
Americas Conference on Information Systems, August 2012
"Leveraging Social Network Data to Support Faculty Mentoring: Best Practices."
Women in Engineering Program Advocates Network (WEPAN) National Conference, June 2012
A Partial Order Based Active Cache for Recommender Systems
Third ACM Conference on Recommender Systems, November 2009
Search Personalization: Knowledge-Based Recommendation in Digital Libraries
Americas Conference on Information Systems, San Francisco, August 2009
GRE: Hybrid Recommendations for NSDL Collections
Joint Conference on Digital Libraries, June 2009
COLLAPSE
Chapter
Zhu, M., & Wu, Brook, & Vasavada, M. S., & Wang, Jason T. (2013). Learning to Rank Biomedical Documents with Only Positive and Unlabeled Examples: A Case Study, Biological Data Mining and Its Applications in Healthcare, Xiaoli Li, See-Kiong Ng and Jason T.L. Wang (Eds.), World Scientific Publishing Company. (pp. 373-392). Singapore: World Scientific Publishing Company
Wu, Brook, & Li, Quanzhi (2009). Deriving Document Keyphrases For Text Mining, Min Song and Brook Wu (Eds.), IGI Blobal. Hershey, PA: IGI Blobal
Wu, Brook, & Chen, Xin (2009). Exploiting User’S Background Knowledge To Discover Personalized Novel Knowledge From Text, Min Song and Brook Wu (Eds.), IGI Blobal. Hershey, PA: IGI Blobal
Li, Quanzhi, & Wu, Brook (2009). Web Mining To Identify People Of Similar Background, Min Song and Brook Wu (Eds.), IGI Blobal. Hershey, PA: IGI Blobal
Wu, Brook, & Li, Quanzhi (2009). Deriving Document Keyphrases For Text Mining, Min Song and Brook Wu (Eds.), IGI Blobal. Hershey, PA: IGI Blobal
Wu, Brook, & Chen, Xin (2009). Exploiting User’S Background Knowledge To Discover Personalized Novel Knowledge From Text, Min Song and Brook Wu (Eds.), IGI Blobal. Hershey, PA: IGI Blobal
Li, Quanzhi, & Wu, Brook (2009). Web Mining To Identify People Of Similar Background, Min Song and Brook Wu (Eds.), IGI Blobal. Hershey, PA: IGI Blobal
Other
Co-authorship Network Analysis for NJIT Faculty
Innovation & Collaboration Research Showcase, March 2011
Innovation & Collaboration Research Showcase, March 2011
Book
Song, Min, & Wu, Brook (2009). Handbook of Research on Text and Web Mining Technologies. Hershey, PA: IGI Blobal