Bowen Lei

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 21

Top Topics

Quality Improvement

Training Samples

Avoid Overfitting

Efficient Algorithms To Compute

Top Venues

J. Comput. Methods Sci. Eng.

Publications

Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani K. Mallick
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. CoRR (2024)
Bowen Lei, Rajarshi Guhaniyogi, Krishnendu Chandra, Aaron Scheffler, Bani K. Mallick
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data. CoRR (2024)
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)
Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu
Adaptive Draft-Verification for Efficient Large Language Model Decoding. CoRR (2024)
Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. CoRR (2023)
Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick
Calibrating the Rigged Lottery: Making All Tickets Reliable. ICLR (2023)
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)
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)
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani K. Mallick
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction. CoRR (2023)
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 (2023)
Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang
Rethinking Data Distillation: Do Not Overlook Calibration. ICCV (2023)
Binfeng Xu, Zhiyuan Peng, Bowen Lei, Subhabrata Mukherjee, Yuchen Liu, Dongkuan Xu
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models. CoRR (2023)
Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. CoRR (2023)
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)
Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick
Calibrating the Rigged Lottery: Making All Tickets Reliable. CoRR (2023)
Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. AISTATS (2023)
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) (2023)
Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu
Rethinking Data Distillation: Do Not Overlook Calibration. CoRR (2023)
Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. KDD (2023)
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 (2022)
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 (2022)