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Dr. Wei Jin

Associate Professor

University of North Texas

Department of Computer Science and Engineering

(940) 369-7172

Email: Wei.Jin@unt.edu

Education

  • PhD, University at Buffalo, State University of New York, 2008
    Major: Computer Science and Engineering
    Specialization: Information Retrieval; Text and Web Mining
    Dissertation: Mining Hidden Associations in Text Corpora through Concept Chain and Graph Queries
  • MS, University at Buffalo, State University of New York, 2007
    Major: Computer Science and Engineering
    Specialization: Information Retrieval and Text Mining
  • MS, Institute of Computing Technology, Chinese Academy of Sciences, 2002
    Major: Computer Science
    Specialization: Multilingual Information Processing

Professional Positions

    Academic - Post-Secondary

  • Associate Professor, University of North Texas. University of North Texas. (2016 - Present).
  • Assistant/Associate Professor, North Dakota State University. North Dakota State University. (2008 - 2016).

Teaching

Teaching Experience

    University of North Texas

  • CSCE 4200 - Web Search and Information Retrieval, 2 courses.
  • CSCE 4380 - Data Mining, 1 course.
  • CSCE 5200 - Information Retrieval and Web Search, 14 courses.
  • CSCE 5380 - Data Mining, 2 courses.
  • CSCE 5950 - Master's Thesis, 5 courses.
  • CSCE 6940 - Individual Research, 13 courses.
  • CSCE 6950 - Doctoral Dissertation, 10 courses.

Directed Student Learning

  • Dissertation Committee Chair, Computer Science and Engineering. (September 1, 2023).
  • Dissertation Committee Chair, Computer Science and Engineering. (September 1, 2023).
  • Dissertation Committee Member, Computer Science and Engineering. (November 21, 2017).
  • Dissertation Committee Chair, Computer Science and Engineering. (September 1, 2017).
  • Dissertation Committee Member, Computer Science and Engineering. (March 2017).
  • Supervised Research, Computer Science and Engineering. (July 2023 - August 31, 2023).
  • Supervised Research, Computer Science and Engineering. (July 2023 - August 31, 2023).
  • Supervised Research, Computer Science and Engineering. (March 2023 - May 31, 2023).
  • Dissertation Committee Chair, Computer Science and Engineering. (September 1, 2017 - 2022).
  • Dissertation Committee Member, Computer Science and Engineering. (September 10, 2018 - 2021).
  • Dissertation Committee Member, Computer Science and Engineering. (March 2019 - January 2020).
  • Master's Thesis Committee Chair, Computer Science and Engineering. (September 1, 2017 - December 2019).
  • Dissertation Committee Chair, Computer Science and Engineering. (March 2017 - August 2019).
  • Master's Thesis Committee Chair, Computer Science and Engineering. (June 1, 2018 - May 2019).
  • Supervised Research, Computer Science and Engineering. (June 1, 2018 - August 31, 2018).
  • Dissertation Committee Member, Computer Science and Engineering. (August 2016 - June 2018).
  • Dissertation Defense Committee Member, Computer Science and Engineering. (March 2018).
  • Master's Thesis Committee Chair, Computer Science and Engineering. (January 2016 - July 2017).
  • Supervised Research, Computer Science and Engineering. (December 2016 - June 2017).

Awards and Honors

  • NSF CAREER AWARD, National Science Foundation. (2015).
  • Nominated for Research Excellence Award, College of Science and Mathematics, North Dakota State University.

Research

Published Intellectual Contributions

    Book Chapter

  • Yang, W., Chowdhury, S., Jin, W. (2023). Finding New Connections between Concepts from Medline Database Incorporating Domain Knowledge. Research Advances in Data Mining Techniques and Applications. pp. 2-17.
  • Singh, A., Porwal, U., Bhardwaj, A., Jin, W. (2023). Multi-Scale Representation Learning for Biomedical Analysis. Deep Learning. 48 pp. 9-27. Elsevier.
  • Yan, P., Slator, B., Jin, W. (2015). Intelligent Tutors In Immersive Virtual Environments. E-Learning Systems, Environments and Approaches: Theory and Implementation.

    • Conference Proceeding

  • Xu, R., Li, G., Jin, W., Chen, A., Sheng, V. (2023). ACCD: An Adaptive Clustering-based Collusion Detector in Crowdsourcing.. The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023).
  • Xu, R., Li, G., Jin, W., Chen, A., Sheng, V. (2023). Adaptive Clustering-Based Collusion Detection in Crowdsourcing. Advanced Intelligent Computing Technology and Applications - 19th International Conference. pp. 261-275.
  • Yang, W., Chowdhury, S., Jin, W. (2022). Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques. Advanced Data Mining and Applications - Proceedings of the 18th International Conference, ADMA 2022. pp. 41-52.
  • Ding, J., Jin, W. (2021). Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets. The 30th International Conference on Artificial Neural Networks (ICANN). 477-490.
  • Ding, J., Jin, W. (2021). Exploring Self-Supervised Graph Learning in Literature-Based Discovery. The 9th IEEE International Conference on Healthcare Informatics (ICHI). 53-62. IEEE.
  • Singh, A., Jin, W. (2020). On Using Composite Word Embeddings to Improve Biomedical Term Similarity. IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). 281-287. IEEE.
  • Ding, J., Jin, W. (2019). OverlapLDA: A Generative Approach for Literature-Based Discovery. Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019). 1-8. IEEE.
  • Ding, J., Jin, W. (2019). A Prior Setting that Improves LDA in both Document Representation and Topic Extraction. Proceedings of 2019 international Joint Conference on Neural Networks (IJCNN 2019). 9-16. International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society.
  • Ding, J., Jin, W. (2019). MDLDA: A New Multi-Dimension Topic Approach. Proceedings of 2019 international Joint Conference on Neural Networks (IJCNN 2019). 1-8. International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society.
  • Shaik, A., Jin, W. (2019). Biomedical Semantic Embeddings: Using hybrid sentences to construct biomedical word embeddings and its applications. Proceedings of the 7th IEEE International Conference on Healthcare Informatics (ICHI 2019). 1-9. IEEE.
  • Singh, A., Blanco, E., Jin, W. (2019). Incorporating Emoji Descriptions Improves Tweet Classification. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2096--2101. Minneapolis, Minnesota, Association for Computational Linguistics. https://www.aclweb.org/anthology/N19-1214
  • Dharmavaram, S., Shaik, A., Jin, W. (2019). Mining Biomedical Data for Hidden Relationship Discovery. Proceedings of the 7th IEEE International Conference on Healthcare Informatics (ICHI 2019). 1-10. IEEE.
  • Florescu, C., Jin, W. (2019). A Supervised Keyphrase Extraction System Based on Graph Representation Learning. Proceedings of Advances in Information Retrieval - 41st European Conference on IR Research (ECIR 2019). 197-212. Lecture Notes in Computer Science, Springer.
  • Ding, J., Jin, W., Chen, H. (2018). Regression-Based Documents Reranking for Precision Medicine. Proceedings of the 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE 2018). 283-286. IEEE.
  • Jin, W., Florescu, C. (2018). Improving Search and Retrieval in Digital Libraries by Leveraging Keyphrase Extraction Systems. Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (JCDL 2018). 419-420. ACM/IEEE.
  • Florescu, C., Jin, W. (2018). Learning Feature Representations for Keyphrase Extraction. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). 8077-8078. The Association for the Advancement of Artificial Intelligence and The MIT Press.
  • Zhu, Y., Jin, W., Zhang, Y. (2017). Identifying Implicit Features in Sentiment Analysis with Conditional Random Fields and Pattern Analysis. Proceedings of the The 30th International Conference on Computer Applications in Industry and Engineering. 185-192. International Society for Computers and Their Applications (ISCA).
  • Li, X., Jin, W. (2016). Cross-Document Knowledge Discovery Using Semantic Concept Topic Model. 108-114. The 15th IEEE International Conference on Machine Learning and Applications (ICMLA'16).
  • Jha, K., Jin, W. (2016). Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge. 317-326. The 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics.
  • Chen, D., Edstrom, J., Chen, X., Jin, W., Wang, J., Gong, N. (2016). Data-Driven Low-Cost On-Chip Memory with Adaptive Power-Quality Trade-off for Mobile Video Streaming. 188-193. The 2016 IEEE/ACM International Symposium on Low Power Electronics and Design.
  • Jha, K., Jin, W. (2016). Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach. 310-317. The 21st International Conference on Applications of Natural Language to Information System.
  • Singh, A., Jin, W. (2016). Ranking Summaries for Informativeness and Coherence without Reference Summaries. 104-109. The Twenty-Ninth International Florida Artificial Intelligence Research Society Conference.
  • Gopalakrishnan, V., Jha, K., Zhang, A., Jin, W. (2016). Generating Hypothesis: Using Global and Local Features in Graph to Discover New Knowledge from Medical Literature. 23 – 30. The 8th International Conference on Bioinformatics and Computational Biology (BICoB 2016).
  • Yan, P., Jha, K., Jin, W. (2016). Discovering Semantic Relationships between Concepts from MEDLINE. 370- 373. The 10th IEEE International Conference on Semantic Computing (ICSC 2016).
  • Jin, W., Ho, H.H., Srihari, R.K. (2009). OpinionMiner: a novel machine learning system for web opinion mining and extraction. Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. 1195–1204.

    • Journal Article

  • Ding, J., Jin, W. (2021). COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications. PLOS One. PLoS One. 2021; 16(5): e0251094. pp. 1-16. PLOS.
  • Gopalakrishnan, V., Jha, K., Jin, W., Zhang, A. (2019). A survey on literature based discovery approaches in biomedical domain. Vol. 93 141-159. Elsevier.
  • Yan, P., Jin, W. (2017). Building semantic kernels for cross-document knowledge discovery using Wikipedia. 51 (1) 287-310. Springer.
  • Yan, P., Jin, W. (2015). Improving Cross-Document Knowledge Discovery through Content and Link Analysis of Wikipedia. Other. 21 161-184. Springer.

Presentations Given

    Invited Talk

  • Florescu, C. (Author & Presenter), Jin, W. (Author), Oak Ridge National Laboratory Research Seminar, A Supervised Keyphrase Extraction System based on Graph Representation Learning, Oak Ridge National Laboratory, United States of America. (2018).

    • Oral Presentation

  • Yang, W. (Author), Chowdhury,, S. (Author & Presenter), Jin, W. (Author), Advanced Data Mining and Applications - Proceedings of the 18th International Conference, ADMA 2022, Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques, Australia. (2022).
  • Ding, J. (Author & Presenter), Jin, W. (Author), The 30th International Conference on Artificial Neural Networks, Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets, European Neural Network Society, Slovakia. (2021).
  • Ding, J. (Author & Presenter), Jin, W. (Author), The 9th IEEE International Conference on Healthcare Informatics, Exploring Self-Supervised Graph Learning in Literature-Based Discovery, IEEE, Canada. (2021).
  • Singh, A. (Author & Presenter), Jin, W. (Author), IEEE 20th International Conference on Bioinformatics and Bioengineering, On Using Composite Word Embeddings to Improve Biomedical Term Similarity, IEEE, United States of America. (2020 - 2020).
  • Ding, J. (Author & Presenter), Jin, W. (Author), 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), OverlapLDA: A Generative Approach for Literature-Based Discovery, San Diego, United States of America. (2019).
  • Ding, J. (Author & Presenter), Jin, W. (Author), The 2019 International Joint Conference on Neural Networks (IJCNN), A Prior Setting that Improves LDA in both Document Representation and Topic Extraction, International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society, Budapest, Hungary, Hungary. (2019).
  • Ding, J. (Author & Presenter), Jin, W. (Author), The 2019 International Joint Conference on Neural Networks (IJCNN), MDLDA: A New Multi-Dimension Topic Approach, International Neural Network Society (INNS) in cooperation with the IEEE Computational Intelligence Society, Budapest, Hungary, Hungary. (2019).
  • Singh, A. (Author & Presenter), Blanco, E. (Author), Jin, W. (Author), The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), Incorporating Emoji Descriptions Improves Tweet Classification, Minneapolis, MN, United States of America. (2019).
  • Jin, W. (Author), Florescu, C. (Author & Presenter), The ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018), Improving Search and Retrieval in Digital Libraries by Leveraging Keyphrase Extraction Systems, Fort Worth, TX, United States of America. (2018).
  • Jin, W. (Author & Presenter), CSE Advisory Council Meeting, Faculty Research Presentation, Discovery Park, United States of America. (2017).
  • Zhu, Y. (Author), Jin, W. (Author), Zhang, Y. (Author), Singh, A. (Presenter), The 30th International Conference on Computer Applications in Industry and Engineering, Identifying Implicit Features in Sentiment Analysis with Conditional Random Fields and Pattern Analysis, San Diego, CA, United States of America. (2017).
  • Yan, P. (Author), Jin, W. (Author), Jha, K. (Author & Presenter), 2016 IEEE Tenth International Conference on Semantic Computing (ICSC 2016), Discovering Semantic Relationships between Concepts from MEDLINE, Laguna Hills, California, United States of America. (2016).
  • Gopalakrishnan, V. (Author), Jha, K. (Author & Presenter), Zhang, A. (Author), Jin, W. (Author), The 8th International Conference on Bioinformatics and Computational Biology, Generating Hypothesis: Using Global and Local Features in Graph to Discover New Knowledge from Medical Literature, Las vegas, United States of America. (2016).
  • Singh, A. (Author & Presenter), Jin, W. (Author), The Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, Ranking Summaries for Informativeness and Coherence without Reference Summaries, United States of America. (2016).
  • Jha, K. (Author & Presenter), Jin, W. (Author), The 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge, Seattle, WA, United States of America. (2016).

    • Poster

  • Florescu, C. (Author & Presenter), Jin, W. (Author), CSE Advisory Council Meeting, Keyphrase Extraction Systems based on Graph Representation Learning, Discovery Park, United States of America. (2018).
  • Dharmavaram, S. (Author & Presenter), Jin, W. (Author), CSE Advisory Council Meeting, Multi-view biomedical text mining from Medline, Discovery Park, United States of America. (2018).
  • Ding, J. (Author & Presenter), Jin, W. (Author), CSE Advisory Council Meeting, Regression-Based Documents Reranking for Precision Medicine, Discovery Park, United States of America. (2018).
  • Florescu, C. (Author & Presenter), Jin, W. (Author), The Grace Hopper Conference, Learning Feature Representations for Keyphrase Extraction, Houston, TX, United States of America. (2018).
  • Florescu, C. (Author & Presenter), Jin, W. (Author), UNT Data Analytics Summit, Learning Feature Representations for Keyphrase Extraction, Dallas, TX, United States of America. (2018).
  • Florescu, C. (Author & Presenter), Jin, W. (Author), The Federation of North Texas Area Universities Graduate Student Research Symposium, Learning Feature Representations for Keyphrase Extraction, Denton, TX, United States of America. (2018).
  • Florescu, C. (Author & Presenter), Jin, W. (Author), The 32nd American Association for Artificial Intelligence (AAAI 2018), Learning Feature Representations for Keyphrase Extraction, New Orleans, Lousiana, USA, United States of America. (2018).
  • Florescu, C. (Author & Presenter), Jin, W. (Author), The Workshop for Women in Machine Learning, Co-located with the Neural Information Processing Systems Conference (WiML 2017), Taking Word Embeddings to Keyphrase Extraction, Long beach, United States of America. (2017).

Media Contributions

    Newspaper

  • "Making a Mark: NDSU associate professor awarded $500K for data mining research," INFORUM. (September 18, 2015).

Contracts, Grants, Sponsored Research

    Contract

  • Jin, W. (Principal), "EAGER: Data-Mining Driven Power-Efficient Intelligent Memory Storage for Mobile Video Applications," sponsored by National Science Foundation, Federal, $28831 Funded. (2016 - 2018).

    • Grant - Research

  • Jin, W. (Principal), "CAREER: Creation, Visualization, and Mining of Domain Textual Graphs: Integrating Domain Knowledge and Human Intelligence," sponsored by National Science Foundation, Federal, $498432 Funded. (2015 - 2023).
  • Jin, W. (Principal), "CAREER: Creation, Visualization, and Mining of Domain Textual Graphs: Integrating Domain Knowledge and Human Intelligence," sponsored by National Science Foundation, FED, Funded. (2017 - 2022).
  • Jin, W. (Principal), "EAGER: Data-Mining Driven Power-Efficient Intelligent Memory Storage for Mobile Video Applications," sponsored by North Dakota State University, NFP, Funded. (2016 - 2018).

Service

University Service

  • Committee Member, External Awards Committee. (2023 - Present).
  • Faculty Mentor, Faculty mentoring program. (March 2022 - Present).
  • Faculty Mentor, Faculty mentoring Program. (November 2021 - Present).
  • Other (Graduate student advisor), Student recruitment activities. (October 2021 - Present).
  • Committee Member, PAC committee. (September 2016 - Present).
  • Other (Graduate student advisor), Student Recruiting Activity. (September 2022 - 2023).
  • Committee Member, Awards and Scholarship Committee. (January 2018 - 2022).
  • Committee Member, Faculty Search Committee (Three Clinical Assistant/Associate Professor Positions). (October 2020 - May 2021).
  • Discussant, Participation in faculty search for Data Science/Math. (January 2019 - March 2019).
  • Discussant, Participation in faculty search for machine learning/AI. (January 2019 - March 2019).
  • Committee Member, Merchandising & Digital Retailing Faculty Search Committee. (November 2018 - March 2019).
  • Attendee, Meeting, College of Engineering Graduate Preview Day. (November 17, 2017).
  • Attendee, Meeting, CSE Advisory Council meeting. (April 28, 2017).
  • Attendee, Meeting, Participation in faculty seach for Computational Life Science. (January 2017 - March 2017).

Professional Service

  • Editorial Review Board Member, Frontiers in Big Data. (2022 - Present).
  • Reviewer, Journal Article, ACM Computing Surveys. (2023 - 2024).
  • Committee Member, The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). (2023 - 2024).
  • Committee Member, The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). (2022 - 2023).
  • Committee Member, The 37th AAAI Conference on Artificial Intelligence. (2022).
  • Committee Member, The 31st International Joint Conference on Artificial Intelligence (IJCAI). (November 2021 - 2022).
  • Committee Member, The 23rd European Conference on Artificial Intelligence (ECAI). (October 2021 - 2021).
  • Reviewer, Journal Article, ACM Transactions on Knowledge Discovery from Data. (2020).
  • Committee Member, The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). (January 2019 - April 2019).
  • Committee Member, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019). (September 1, 2018 - February 1, 2019).
  • Reviewer, Journal Article, Progress in Artificial Intelligence. (2018).
  • Committee Chair, ACM/IEEE Joint Conference on Digital Libraries. Fort Worth, TX. (September 2017 - June 2018).
  • Reviewer, Grant Proposal, North Dakota State University Department of Energy grant. (December 2017).
  • Reviewer, Grant Proposal, National Science Foundation. (2017).
  • Committee Chair, IEEE International Conference on Data Mining (ICDM). Barcelona, (March 2016 - December 2016).
  • Attendee, Meeting, Grace Hopper Conference for Women. Houston, TX. (2016).
  • Reviewer, Grant Proposal, National Science Foundation. (April 2016).
  • Reviewer, Grant Proposal, National Science Foundation. Arlington, VA. (March 2016).
  • Reviewer, Journal Article, IEEE Intelligent Systems. (2015).
  • Reviewer, Journal Article, IEEE Transactions on Knowledge and Data Engineering. (2015).
  • Reviewer, Journal Article, Kuwait Journal of Science. (2015).
  • Reviewer, Journal Article, Machine Learning Journal. (2015).
  • Reviewer, Journal Article, ACM Transactions on Intelligent Systems and Technology. (2014).
  • Reviewer, Journal Article, Data & Knowledge Engineering. (2014).
  • Reviewer, Conference Paper, IEEE International Conference on BioInformatics and BioEngineering. (2014).
  • Reviewer, Conference Paper, IEEE International Symposium on Computer-Based Medical Systems. (2013).
  • Reviewer, Journal Article, Journal of Web Semantics. (2013).
  • Reviewer, Journal Article, Neural Computing & Applications. (2013).
  • Reviewer, Conference Paper, Asia Information Retrieval Societies Conference. (2012).
  • Reviewer, Journal Article, Knowledge based systems. (2012).
  • Reviewer, Journal Article, Journal of Computer Science and Technology. (2011).
  • Track Organizer, The IEEE International Conference on Tools with Artificial Intelligence. Boca Raton, FL. (July 1, 2011 - November 9, 2011).
  • Reviewer, Conference Paper, International Conference on Information and Knowledge Management. (2010).
  • Reviewer, Conference Paper, WAIM International Workshop on Graph Database. (2010).
  • Reviewer, Conference Paper, WWW International Semantic Search Workshop. (2010).