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2020 – today
- 2024
[j2]Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick:
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. Trans. Mach. Learn. Res. 2024 (2024)- [i12]Bowen Lei, Rajarshi Guhaniyogi, Krishnendu Chandra, Aaron Scheffler, Bani K. Mallick:
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data. CoRR abs/2402.02734 (2024) - [i11]Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick:
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. CoRR abs/2403.20047 (2024) - [i10]Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu:
Adaptive Draft-Verification for Efficient Large Language Model Decoding. CoRR abs/2407.12021 (2024) - 2023
- [j1]Bowen Lei, Changlin Ao, Yuehua Wei, Yulin Long, Nan Jiang:
What are public preferences for air quality improvement policies? Additional information from extended choice models. J. Comput. Methods Sci. Eng. 23(6): 2893-2914 (2023) - [c7]Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang:
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. AISTATS 2023: 7288-7310 - [c6]Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu:
Accelerating Dataset Distillation via Model Augmentation. CVPR 2023: 11950-11959 - [c5]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC 2023: 1-6 - [c4]Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding:
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. DAC 2023: 1-6 - [c3]Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang:
Rethinking Data Distillation: Do Not Overlook Calibration. ICCV 2023: 4912-4922 - [c2]Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick:
Calibrating the Rigged Lottery: Making All Tickets Reliable. ICLR 2023 - [c1]Longfeng Wu
, Bowen Lei, Dongkuan Xu, Dawei Zhou:
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. KDD 2023: 2629-2638 - [i9]Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick:
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction. CoRR abs/2301.03573 (2023) - [i8]Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick:
Calibrating the Rigged Lottery: Making All Tickets Reliable. CoRR abs/2302.09369 (2023) - [i7]Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang:
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. CoRR abs/2302.13929 (2023) - [i6]Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding:
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR abs/2304.12214 (2023) - [i5]Binfeng Xu, Zhiyuan Peng, Bowen Lei, Subhabrata Mukherjee, Yuchen Liu, Dongkuan Xu:
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models. CoRR abs/2305.18323 (2023) - [i4]Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou:
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. CoRR abs/2307.09858 (2023) - [i3]Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu:
Rethinking Data Distillation: Do Not Overlook Calibration. CoRR abs/2307.12463 (2023) - 2022
- [i2]Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding:
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. CoRR abs/2211.16667 (2022) - [i1]Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu:
Accelerating Dataset Distillation via Model Augmentation. CoRR abs/2212.06152 (2022)
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