| Model complexity of deep learning: A survey X Hu, L Chu, J Pei, W Liu, J Bian Knowledge and Information Systems 63, 2585-2619, 2021 | 198 | 2021 |
| Exact and consistent interpretation for piecewise linear neural networks: A closed form solution L Chu, X Hu, J Hu, L Wang, J Pei Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 112 | 2018 |
| Measuring model complexity of neural networks with curve activation functions X Hu, W Liu, J Bian, J Pei Proceedings of the 26th ACM SIGKDD International Conference on knowledge …, 2020 | 18 | 2020 |
| Exact and consistent interpretation of piecewise linear models hidden behind APIs: A closed form solution Z Cong, L Chu, L Wang, X Hu, J Pei 2020 IEEE 36th International Conference on Data Engineering (ICDE), 613-624, 2020 | 7 | 2020 |
| Heterogeneous treatment effects of metformin on risk of dementia in patients with type 2 diabetes: A longitudinal observational study H Tang, J Guo, CE Shaaban, Z Feng, Y Wu, T Magoc, X Hu, WT Donahoo, ... Alzheimer's & Dementia 20 (2), 975-985, 2024 | 1 | 2024 |
| Feasibility of Identifying Factors Related to Alzheimer’s Disease and Related Dementia in Real-World Data A Chen, Q Li, Y Huang, Y Li, Y Chuang, X Hu, S Guo, Y Wu, Y Guo, J Bian medRxiv, 2024.02. 10.24302621, 2024 | | 2024 |
| Geographic variation and racial disparities in adoption of newer glucose-lowering drugs with cardiovascular benefits among US Medicare beneficiaries with type 2 diabetes WH Chen, Y Li, L Yang, JM Allen, H Shao, WT Donahoo, L Billelo, X Hu, ... Plos one 19 (1), e0297208, 2024 | | 2024 |
| Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts J Wu, X Hu, Y Wang, B Pang, R Soricut arXiv preprint arXiv:2312.00968, 2023 | | 2023 |
| Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach Z Chen, Y Yang, D Zhang, J Guo, Y Guo, X Hu, Y Chen, J Bian Informatics 10 (2), 46, 2023 | | 2023 |
| Deep Variational Inference for Inductive Link Prediction O Schulte, P Naddaf, X Hu, M Jaeger | | 2022 |
| Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning K Zahirnia, A Sakhuja, O Schulte, P Nadaf, K Li, X Hu arXiv preprint arXiv:2106.15239, 2021 | | 2021 |
| Understanding deep neural networks from the perspective of piecewise linear property X Hu Simon Fraser University, 2021 | | 2021 |
| Deep Learning Model Complexity: Concepts and Approaches X Hu, L Chu, J Pei, J Bian, W Liu | | 2021 |
