| Pairwise adversarial training for unsupervised class-imbalanced domain adaptation W Shi, R Zhu, S Li Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 12 | 2022 |
| Application of artificial intelligence to the monitoring of medication adherence for tuberculosis treatment in Africa: algorithm development and validation JN Sekandi, W Shi, R Zhu, P Kaggwa, E Mwebaze, S Li JMIR AI 2 (1), e40167, 2023 | 6 | 2023 |
| Pigmentation-based visual learning for salvelinus fontinalis individual re-identification Z Zhou, NP Hitt, BH Letcher, W Shi, S Li 2022 IEEE International Conference on Big Data (Big Data), 6850-6852, 2022 | 2 | 2022 |
| Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years W Shi, Z Zhou, BH Letcher, N Hitt, Y Kanno, R Futamura, O Kishida, ... Australasian Joint Conference on Artificial Intelligence, 252-264, 2023 | 1 | 2023 |
| Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning W Shi, X Yang, X Zhao, H Chen, Z Tao, S Li Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training W Shi, S Li 2022 IEEE International Conference on Big Data (Big Data), 135-140, 2022 | | 2022 |
| Node-wise Calibration of Graph Neural Networks under Out-of-Distribution Nodes via Reinforcement Learning W Shi, X Yang, X Zhao, H Chen, Z TAO, S Li | | |
| Application of Artificial Intelligence to Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: A Pilot Study JN Sekandi, W Shi, R Zhu, PE Kaggwa, E Mwebaze, S Li Available at SSRN 4074672, 0 | | |
Sheng LiQuantitative Foundation Associate Professor of Data Science, University of VirginiaVerified email at virginia.edu
