| Estimation of COVID-19 spread curves integrating global data and borrowing information SY Lee, B Lei, BK Mallick PLoS ONE 15 (7), e0236860, 2020 | 116 | 2020 |
| Bayesian optimization with adaptive surrogate models for automated experimental design B Lei, TQ Kirk, A Bhattacharya, D Pati, X Qian, R Arroyave, BK Mallick npj Computational Materials 7 (194), 2021 | 68 | 2021 |
| Rewoo: Decoupling reasoning from observations for efficient augmented language models B Xu, Z Peng, B Lei, S Mukherjee, Y Liu, D Xu arXiv preprint arXiv:2305.18323, 2023 | 46* | 2023 |
| Accelerating dataset distillation via model augmentation L Zhang, J Zhang, B Lei, S Mukherjee, X Pan, B Zhao, C Ding, Y Li, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 44 | 2023 |
| Dynamic sparse training via balancing the exploration-exploitation trade-off S Huang, B Lei, D Xu, H Peng, Y Sun, M Xie, C Ding 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 13 | 2023 |
| Calibrating the Rigged Lottery: Making All Tickets Reliable B Lei, R Zhang, D Xu, B Mallick The Eleventh International Conference on Learning Representations (ICLR), 2023 | 9 | 2023 |
| Rethinking data distillation: Do not overlook calibration D Zhu, B Lei, J Zhang, Y Fang, Y Xie, R Zhang, D Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Towards reliable rare category analysis on graphs via individual calibration L Wu, B Lei, D Xu, D Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| Neurogenesis dynamics-inspired spiking neural network training acceleration S Huang, H Fang, K Mahmood, B Lei, N Xu, B Lei, Y Sun, D Xu, W Wen, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 6 | 2023 |
| Balance is essence: Accelerating sparse training via adaptive gradient correction B Lei, D Xu, R Zhang, S He, B Mallick Conference on Parsimony and Learning, 341-378, 2024 | 5 | 2024 |
| Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation Y Xiang, D Zhu, B Lei, D Xu, R Zhang International Conference on Artificial Intelligence and Statistics, 7288-7310, 2023 | 2 | 2023 |
| Grain-refining mechanism in hypereutectic Al-20Si alloy with minor Sr-Sc-La and ultrasonic vibration treatment J Lei, B Lei, K Zhang, G Liu, Y Liu Heliyon 9 (9), 2023 | 1 | 2023 |
| Adaptive Draft-Verification for Efficient Large Language Model Decoding X Liu, B Lei, R Zhang, D Xu arXiv preprint arXiv:2407.12021, 2024 | | 2024 |
| Identifying and overcoming COVID-19 vaccination impediments using Bayesian data mining techniques B Lei, A Mahajan, B Mallick Scientific Reports 14 (1), 8595, 2024 | | 2024 |
| Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World B Lei, D Xu, R Zhang, B Mallick arXiv preprint arXiv:2403.20047, 2024 | | 2024 |
| InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data B Lei, R Guhaniyogi, K Chandra, A Scheffler, B Mallick arXiv preprint arXiv:2402.02734, 2024 | | 2024 |
| Refining Al–20Si Alloy by Appending Trace Sr–Sc–Ce Nanoparticles and Ultrasonic Vibration Processing J Lei, B Lei, K Zhang, G Liu, Y Liu physica status solidi (a) 221 (4), 2300617, 2024 | | 2024 |
