Balanced clustering with least square regression H Liu, J Han, F Nie, X Li AAAI Conference on Artificial Intelligence (AAAI), 2231-2237, 2017 | 62 | 2017 |
Learning to simulate vehicle trajectories from demonstrations G Zheng*, H Liu*, K Xu, Z Li 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1822-1825, 2020 | 26 | 2020 |
Predicting physician burnout using clinical activity logs: model performance and lessons learned SS Lou, H Liu, BC Warner, D Harford, C Lu, T Kannampallil Journal of biomedical informatics 127, 104015, 2022 | 25 | 2022 |
A local and global discriminative framework and optimization for balanced clustering J Han, H Liu, F Nie IEEE transactions on neural networks and learning systems (TNNLS) 30 (10 …, 2018 | 23 | 2018 |
Personalized surgical transfusion risk prediction using machine learning to guide preoperative type and screen orders SS Lou, H Liu, C Lu, TS Wildes, BL Hall, T Kannampallil Anesthesiology 137 (1), 55-66, 2022 | 21 | 2022 |
Objective-aware traffic simulation via inverse reinforcement learning G Zheng*, H Liu*, K Xu, Z Li International Joint Conference on Artificial Intelligence (IJCAI), 3771-3777, 2021 | 15 | 2021 |
Semi-supervised Orthogonal Graph Embedding with Recursive Projections H Liu, J Han, F Nie International Joint Conference on Artificial Intelligence (IJCAI), 2308-2314, 2017 | 12 | 2017 |
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records H Liu, SS Lou, B Warner, DR Harford, T Kannampallil, C Lu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation B Xue, AS Said, Z Xu, H Liu, N Shah, H Yang, P Payne, C Lu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
Characterizing the macrostructure of electronic health record work using raw audit logs: an unsupervised action embeddings approach SS Lou, H Liu, D Harford, C Lu, T Kannampallil Journal of the American Medical Informatics Association 30 (3), 539-544, 2023 | 7 | 2023 |
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks H Liu, MC Montana, D Li, T Kannampallil, C Lu ACM International Conference on Information and Knowledge Management (CIKM), 2022 | 2 | 2022 |
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints R Wang, H Liu, J Qiu, R Guerin, C Lu IEEE the 44th Real-Time System Symposium (RTSS), 2023 | 1 | 2023 |
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation H Liu, S Yang, F Qi, S Wang arXiv preprint arXiv:2301.10443, 2023 | | 2023 |