| Understanding heart failure patients EHR clinical features via SHAP interpretation of tree-based machine learning model predictions S Lu, R Chen, W Wei, M Belovsky, X Lu AMIA annual symposium proceedings 2021, 813, 2022 | 43 | 2022 |
| Evaluating FFT-based algorithms for strided convolutions on ARMv8 architectures X Huang, Q Wang, S Lu, R Hao, S Mei, J Liu Performance Evaluation 152, 102248, 2021 | 17 | 2021 |
| NUMA-aware FFT-based convolution on ARMv8 many-core CPUs X Huang, Q Wang, S Lu, R Hao, S Mei, J Liu 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | 14 | 2021 |
| Evaluating fft-based algorithms for strided convolutions on armv8 architectures? X Huang, Q Wang, S Lu, R Hao, S Mei, J Liu ACM SIGMETRICS Performance Evaluation Review 49 (3), 28-29, 2022 | 5 | 2022 |
| Current status of anti-obesity medications and performance, an EHR based survey X Ruan, R Li, L Wang, S Lu, A Wen, SB Murali, H Liu medRxiv, 2024 | 1 | 2024 |
| Deep phenotyping obesity using EHR data: Promise, Challenges, and Future Directions X Ruan, S Lu, L Wang, A Wen, SB Murali, H Liu medRxiv, 2024.12. 06.24318608, 2024 | | 2024 |
