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Weishi Shi

Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Weishi.Shi@unt.edu

Education

  • PhD, Rochester Institute of Technology, 2022
    Major: Computing and Information Sciences
  • MS, Rochester Institute of Technology, 2016
    Major: Information Sciences and Technologies

Teaching

Teaching Experience

    University of North Texas

  • CSCE 2900 - Special Problems in Computer Science and Engineering, 1 course.
  • CSCE 4290 - Introduction to Natural Language Processing, 1 course.
  • CSCE 5210 - Fundamentals of Artificial Intelligence, 3 courses.
  • CSCE 5215 - Machine Learning, 4 courses.
  • CSCE 5290 - Natural Language Processing, 1 course.
  • CSCE 5934 - Directed Study, 5 courses.
  • CSCE 6280 - Advanced Topics in Artificial Intelligence, 1 course.
  • CSCE 6940 - Individual Research, 8 courses.
  • CSCE 6950 - Doctoral Dissertation, 5 courses.

Directed Student Learning

  • Doctoral Advisory Committee Member, "Interpretability and reasoning in Natural Language Processing," Computer Science and Engineering. (August 13, 2024).
  • Major Professor, "Evidential Learning and Uncertainty Estimation," Computer Science and Engineering. (February 1, 2024).
  • Doctoral Advisory Committee Member, Computer Science and Engineering. (September 22, 2023).
  • Doctoral Advisory Committee Member, "Formal Languages, Automata and Computability," Computer Science and Engineering. (September 1, 2023).
  • Major Professor, Computer Science and Engineering. (August 21, 2023).
  • Doctoral Advisory Committee Member, Computer Science and Engineering. (July 12, 2023).
  • Supervised Research, "MultiModal Data Annotation.," Computer Science and Engineering. (September 1, 2025 - November 30, 2025).
  • Doctoral Advisory Committee Member, "PhD candidate qualification exam.," Computer Science and Engineering. (October 13, 2022 - November 30, 2022).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Li, M., Shi, W., Yu, D., Yu, Q. (2024). Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity. Advances in Neural Information Processing Systems 37. 112217-112236. Neural Information Processing Systems Foundation, Inc. (NeurIPS). https://doi.org/10.52202/079017-3563
  • Al Forhad, M.A., Shi, W. (2024). Balancing Explanations and Adaptation in Offline Continual Learning Systems Using Active Augmented Reply. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR). 24 484-490. IEEE. https://doi.org/10.1109/mipr62202.2024.00082
  • Li, M., Qiu, J., Shi, W. (2024). Macro-AUC-Driven Active Learning Strategy for Multi-Label Classification Enhancement. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR). 18 280-286. IEEE. https://doi.org/10.1109/mipr62202.2024.00052
  • Abu-Shaira, M., Shi, W. (2024). Unveiling Statistical Significance of Online Regression Over Multiple Datasets. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR). 274-279. IEEE. https://doi.org/10.1109/mipr62202.2024.00051
  • Alshangiti, M., Shi, W., Lima, E., Liu, X., Yu, Q. (2022). Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews. Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 558-569. ACM. https://doi.org/10.1145/3540250.3549174
  • Zhu, Y., Shi, W., Pandey, D.S., Liu, Y., Que, X., Krutz, D.E., Yu, Q. (2021). Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. 2021 IEEE International Conference on Big Data (Big Data). 1772-1778. IEEE. https://doi.org/10.1109/bigdata52589.2021.9671469
  • Shi, W., Khan, S., El-Glaly, Y., Malachowsky, S., Yu, Q., Krutz, D.E. (2020). Experiential learning in computing accessibility education. Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings. 250-251. ACM. https://doi.org/10.1145/3377812.3390901
  • El-Glaly, Y., Shi, W., Malachowsky, S., Yu, Q., Krutz, D.E. (2020). Presenting and evaluating the impact of experiential learning in computing accessibility education. Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering Education and Training. 49-60. ACM. https://doi.org/10.1145/3377814.3381710
  • Shi, W., Yu, Q. (2018). An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. 2018 IEEE International Conference on Data Mining (ICDM). 1230-1235. IEEE. https://doi.org/10.1109/icdm.2018.00164
  • Obot, N., OrMalley, L., Nwogu, I., Yu, Q., Shi, W., Guo, X. (2018). From Novice to Expert Narratives of Dermatological Disease. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). 131-136. IEEE. https://doi.org/10.1109/percomw.2018.8480162
  • Shi, W., Liu, X., Yu, Q. (2017). Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. 2017 IEEE International Conference on Web Services (ICWS). 229-236. IEEE. https://doi.org/10.1109/icws.2017.37
  • Shi, W., Liu, X., Yu, Q. (2017). Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. 2017 IEEE International Conference on Web Services (ICWS). 229-236. IEEE. https://doi.org/10.1109/icws.2017.37
  • Shi, W., Liu, X., Yu, Q. (2017). Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. 2017 IEEE International Conference on Web Services (ICWS). 229-236. IEEE. https://doi.org/10.1109/icws.2017.37

    • Journal Article

  • Abu Shaira, M., Feng, Y., Fan, H., Shi, W. (2026). OLC-WA: Drift aware tuning-free online classification with weighted average. Expert Systems with Applications. 306 130848. Elsevier BV. https://doi.org/10.1016/j.eswa.2025.130848
  • Shaira, M.A., Feng, Y., Fan, H., Shi, W. (2025). OLC-WA: Drift Aware Tuning-Free Online Classification with Weighted Average. Expert Systems with Applications. 130848. Elsevier.
  • Abu-Shaira, M., Shi, W. (2025). OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging. Other. Springer Science and Business Media LLC. https://doi.org/10.1007/s41019-025-00312-y
  • Shi, W., Moses, H., Yu, Q., Malachowsky, S., Krutz, D.E. (2024). ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. Other. 33 (2) 1-30. Association for Computing Machinery (ACM). https://doi.org/10.1145/3625292
  • Alshangiti, M., Shi, W., Liu, X., Yu, Q. (2020). A Bayesian learning model for design-phase service mashup popularity prediction. Expert Systems with Applications. 149 113231. Elsevier BV. https://doi.org/10.1016/j.eswa.2020.113231
  • Lima, E., Shi, W., Liu, X., Yu, Q. (2019). Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering. Other. 19 (3) 1-22. Association for Computing Machinery (ACM). https://doi.org/10.1145/3319528
  • Liu, X., Shi, W., Kale, A., Ding, C., Yu, Q. (2017). Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews. Other. 17 (2) 1-24. Association for Computing Machinery (ACM). https://doi.org/10.1145/3053381

Presentations Given

    Panel Presentation

  • Pears, R.L. (Panelist), Murali, B. (Panelist), Shi, W. (Panelist), Research Seminar for UNT Graduate Students, How does ChatGPT impact Computer Science Education?, UNT Department of Computer Science and Engineering, K150, United States of America. (2023 - 2023).

Service

University Service

  • Attendee, Meeting, CSE PhD Admissions Committee. (January 1, 2024 - December 30, 2024).
  • Committee Member, CSE PhD Admissions Committee. (October 1, 2022 - September 1, 2024).
  • Committee Member, CSE Tenure Track Hiring Committee. (October 1, 2022 - September 1, 2024).
  • Attendee, Meeting, CSE Tenure Track Hiring Committee. (January 1, 2024 - August 30, 2024).

Professional Service

  • Reviewer, Conference Paper, AAAI. (January 1, 2022 - Present).
  • Reviewer, Conference Paper, Artificial Intelligence and Statistics Conference. (January 1, 2022 - Present).
  • Reviewer, Conference Paper, Conference on Computer Vision and Pattern Recognition. (January 1, 2022 - Present).
  • Reviewer, Conference Paper, International Conference on Service-Oriented Computing. (January 1, 2022 - Present).
  • Reviewer, Conference Paper, International Conference on Learning Representations. (January 1, 2021 - Present).