Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. - Yue Xiang; Dongyao Zhu; Bowen Lei; Dongkuan Xu; Ruqi Zhang (AISTATS, 2023)

Accelerating Dataset Distillation via Model Augmentation. - Lei Zhang 197; Jie Zhang 081; Bowen Lei; Subhabrata Mukherjee; Xiang Pan 001; Bo Zhao; Caiwen Ding; Yao Li 015; Dongkuan Xu (CVPR, 2023)

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. - Shaoyi Huang; Haowen Fang; Kaleel Mahmood; Bowen Lei; Nuo Xu; Bin Lei; Yue Sun; Dongkuan Xu; Wujie Wen; Caiwen Ding (DAC, 2023)

Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. - Shaoyi Huang; Bowen Lei; Dongkuan Xu; Hongwu Peng; Yue Sun; Mimi Xie; Caiwen Ding (DAC, 2023)

Rethinking Data Distillation: Do Not Overlook Calibration. - Dongyao Zhu; Yanbo Fang; Bowen Lei; Yiqun Xie; Dongkuan Xu; Jie Zhang 081; Ruqi Zhang (ICCV, 2023)

Calibrating the Rigged Lottery: Making All Tickets Reliable. - Bowen Lei; Ruqi Zhang; Dongkuan Xu; Bani K. Mallick (ICLR, 2023)

Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. - Longfeng Wu; Bowen Lei; Dongkuan Xu; Dawei Zhou 003 (KDD, 2023)

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models. - Binfeng Xu; Zhiyuan Peng; Bowen Lei; Subhabrata Mukherjee; Yuchen Liu 001; Dongkuan Xu (CoRR, 2023)

What are public preferences for air quality improvement policies? Additional information from extended choice models. - Bowen Lei; Changlin Ao; Yuehua Wei; Yulin Long; Nan Jiang (J. Comput. Methods Sci. Eng., 2023)

Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction. - Bowen Lei; Dongkuan Xu; Ruqi Zhang; Shuren He; Bani K. Mallick (CPAL, 2024)

InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data. - Bowen Lei; Rajarshi Guhaniyogi; Krishnendu Chandra; Aaron Scheffler; Bani K. Mallick (CoRR, 2024)

Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World. - Bowen Lei; Dongkuan Xu; Ruqi Zhang; Bani K. Mallick (Trans. Mach. Learn. Res., 2024)

Adaptive Draft-Verification for Efficient Large Language Model Decoding. - Xukun Liu; Bowen Lei; Ruqi Zhang; Dongkuan Xu (AAAI, 2025)