Curriculum Vitae
Curriculum Vitae Link
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
Current Scheduled Teaching
CSCE 5934.863 | Directed Study | Fall 2024 |
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CSCE 5210.003 | Fundamentals of Artificial Intelligence | Fall 2024 |
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CSCE 6940.866 | Individual Research | Fall 2024 |
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CSCE 6940.863 | Individual Research | Summer 10W 2024 |
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Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.
Previous Scheduled Teaching
CSCE 6940.863 | Individual Research | Summer 10W 2024 |
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CSCE 5934.863 | Directed Study | Spring 2024 |
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CSCE 6940.963 | Individual Research | Spring 2024 |
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CSCE 5215.004 | Machine Learning | Spring 2024 |
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SPOT
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CSCE 5210.003 | Fundamentals of Artificial Intelligence | Fall 2023 |
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SPOT
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CSCE 6940.866 | Individual Research | Fall 2023 |
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CSCE 6940.966 | Individual Research | Spring 2023 |
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CSCE 5215.004 | Machine Learning | Spring 2023 |
Syllabus
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SPOT
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CSCE 5210.003 | Fundamentals of Artificial Intelligence | Fall 2022 |
Syllabus
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SPOT
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Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.
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.