Cheng Tai

14 papers A* 3Journal 11
YearRankTypeTitle / Venue / Authors
2024 A* conf
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering.
WWW
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan
2024 J jnl
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering.
CoRR
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan
2022 J jnl
Why pseudo label based algorithm is effective? -from the perspective of pseudo labeled data.
CoRR
Zeping Min, Cheng Tai
2019 J jnl
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations.
J. Mach. Learn. Res.
Qianxiao Li, Cheng Tai, Weinan E
2018 J jnl
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations.
CoRR
Qianxiao Li, Cheng Tai, Weinan E
2018 J jnl
Understanding and Enhancing the Transferability of Adversarial Examples.
CoRR
Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E
2017 J jnl
Maximum Principle Based Algorithms for Deep Learning.
CoRR
Qianxiao Li, Long Chen, Cheng Tai, Weinan E
2017 J jnl
Maximum Principle Based Algorithms for Deep Learning.
J. Mach. Learn. Res.
Qianxiao Li, Long Chen, Cheng Tai, Weinan E
2017 A* conf
Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms.
ICML
Qianxiao Li, Cheng Tai, Weinan E
2016 A* conf
Convolutional neural networks with low-rank regularization.
ICLR (Poster)
Cheng Tai, Tong Xiao, Xiaogang Wang, Weinan E
2016 J jnl
Multiscale Adaptive Representation of Signals: I. The Basic Framework.
J. Mach. Learn. Res.
Cheng Tai, Weinan E
2015 J jnl
Dynamics of Stochastic Gradient Algorithms.
CoRR
Qianxiao Li, Cheng Tai, Weinan E
2015 J jnl
Multiscale Adaptive Representation of Signals: I. The Basic Framework.
CoRR
Cheng Tai, Weinan E
2013 J jnl
Wavelet Frame Based Multiphase Image Segmentation.
SIAM J. Imaging Sci.
Cheng Tai, Xiaoqun Zhang, Zuowei Shen