Weishi Shi
Assistant Professor
University of North Texas
Department of Computer Science and Engineering
Email: Weishi.Shi@unt.edu
Education
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PhD, Rochester Institute of Technology, 2022
Major: Computing and Information Sciences
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MS, Rochester Institute of Technology, 2016
Major: Information Sciences and Technologies
Teaching
Teaching Experience
- CSCE 5210 - Fundamentals of Artificial Intelligence, 3 courses.
- CSCE 5215 - Machine Learning, 2 courses.
- CSCE 5934 - Directed Study, 2 courses.
- CSCE 6940 - Individual Research, 5 courses.
University of North Texas
Directed Student Learning
- Doctoral Advisory Committee Member, Computer Science and Engineering. (September 22, 2023).
- Doctoral Advisory Committee Chair, Computer Science and Engineering. (August 21, 2023).
- Doctoral Advisory Committee Member, Computer Science and Engineering. (July 12, 2023).
- Doctoral Advisory Committee Member, "PhD candidate qualification exam.," Computer Science and Engineering. (October 13, 2022 - November 30, 2022).
Research
Published Intellectual Contributions
- Forhad, A., Shi, W. Enhancing Annotation Quality through Active Re-labeling Strategies in Deep Active Learning. International Jounral on Artificial Intelligence Tools (IJAIT). International Joint Conferences on Artificial Intelligence(Name of the conference).
- Rafiq, R., Shi, W., Albert, M.V. Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation. International Jounral on Artificial Intelligence Tools (IJAIT). International Joint Conferences on Artificial Intelligence (Name of the conference).
- Yu, D., Shi, W., Qi, Y. Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. Machine Learning: Science and Technology. International Conference on Machine Learning (name of the conference, did not shown in drop down menu).
- Shi, W., Yu, D., Yu, Q. Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice. International Conference on Neural Information Processing. Conference on Neural Information Processing Systems(Conference name, does not shown in drop downs.).
- Zhu, Y., Shi, W., Bao, W., Yu, Q. Prompt is All You Need: Towards Open World Learning. International Conference on Computer Vision (ICCV). IEEE.
- Shi, W., Yu, D., Shi, Q. STARS: Spatial-Temporal Active Re-Sampling for Label-Efficient Learning from Noisy Annotations. AI Magazine. United States AAAI Press.
- Shi, W., MOSES, H., Yu, Q., MALACHOWSKY, S., KRUTZ, D. ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. IEEE Transactions on Software Engineering. Association for Computing Machinery.
Conference Proceeding
Journal Article
Presentations Given
- 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).
Panel Presentation
Service
University Service
- 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).
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).