| 2026 | PAKDD | Online Domain-Aware LLM Decoding for Continual Domain Evolution. | Mohammad Abu-Shaira, Weishi Shi |
| 2024 | IJCAI | Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation. | Riyad Bin Rafiq, Weishi Shi, Mark V. Albert |
| 2023 | AAAI | STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. | Dayou Yu, Weishi Shi, Qi Yu |
| 2023 | ICML | Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. | Dayou Yu, Weishi Shi, Qi Yu |
| 2021 | AISTATS | Active Learning with Maximum Margin Sparse Gaussian Processes. | Weishi Shi, Qi Yu |
| 2020 | ICSE | Presenting and evaluating the impact of experiential learning in computing accessibility education. | Yasmine N. El-Glaly, Weishi Shi, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz |
| 2020 | ICSE | Experiential learning in computing accessibility education. | Weishi Shi, Saad Khan, Yasmine N. El-Glaly, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz |
| 2019 | ICML | Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning. | Weishi Shi, Qi Yu |
| 2018 | ICDM | An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. | Weishi Shi, Qi Yu |
| 2018 | PERCOM | From Novice to Expert Narratives of Dermatological Disease. | Nse Obot, Laura OrMalley, Ifeoma Nwogu, Qi Yu, Weishi Shi, Xuan Guo |
| 2017 | ICWS | Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. | Weishi Shi, Xumin Liu, Qi Yu |