| Fully automated macular pathology detection in retina optical coherence tomography images using sparse coding and dictionary learning Y Sun, S Li, Z Sun Journal of biomedical optics 22 (1), 016012-016012, 2017 | 105 | 2017 |
| Deep job understanding at linkedin S Li, B Shi, J Yang, J Yan, S Wang, F Chen, Q He Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 43 | 2020 |
| Learning to ask screening questions for job postings B Shi, S Li, J Yang, ME Kazdagli, Q He Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 18 | 2020 |
| Machine learned model framework for screening question generation B Shi, S Li, J Yang, ME Kazdagli, F Guo, F Chen, Q He US Patent App. 16/853,442, 2021 | 9 | 2021 |
| FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Z Cong, B Shi, S Li, J Yang, Q He, J Pei IEEE Transactions on Knowledge and Data Engineering, 2023 | 6 | 2023 |
| Encoding a job posting as an embedding using a graph neural network S Li, B Shi, J Yang US Patent App. 17/511,162, 2023 | 1 | 2023 |
| Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting Y Han, K Chen, S Li, J Yan, B Shi, L Zhang, F Chen, J Yang, Y Xu, X Luo, ... Companion Proceedings of the ACM on Web Conference 2024, 903-906, 2024 | | 2024 |
Baoxu ShiUniversity of Notre Dame, LinkedInVerified email at linkedin.com
