Senwei Liang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 25

Top Topics

Convolutional Neural Networks

Differential Equations

Image Compositing

Machine Learning

Top Venues

Mach. Learn. Sci. Technol.

J. Comput. Phys.

Publications

Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang
Probing reaction channels via reinforcement learning. Mach. Learn. Sci. Technol. 4 (4) (2023)
Hardeep Bassi, Yuanran Zhu, Senwei Liang, Jia Yin, Cian C. Reeves, Vojtech Vlcek, Chao Yang
Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations. CoRR (2023)
Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
Stationary Density Estimation of Itô Diffusions Using Deep Learning. SIAM J. Numer. Anal. 61 (1) (2023)
Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang
Probing reaction channels via reinforcement learning. CoRR (2023)
Senwei Liang, Haizhao Yang
Finite Expression Method for Solving High-Dimensional Partial Differential Equations. CoRR (2022)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR (2022)
Senwei Liang, Zhongzhan Huang, Hong Zhang
Stiffness-aware neural network for learning Hamiltonian systems. ICLR (2022)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin
Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR (2022)
Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR (2022)
Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Takahiro Yabe, Satish V. Ukkusuri, Jianzhu Ma
Quantifying the spatial homogeneity of urban road networks via graph neural networks. Nat. Mach. Intell. 4 (3) (2022)
Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. CoRR (2021)
Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma
Quantifying spatial homogeneity of urban road networks via graph neural networks. CoRR (2021)
Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang
Solving PDEs on Unknown Manifolds with Machine Learning. CoRR (2021)
Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) (2021)
Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang
Reproducing Activation Function for Deep Learning. CoRR (2021)
Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
Blending Pruning Criteria for Convolutional Neural Networks. CoRR (2021)
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
Machine learning for prediction with missing dynamics. J. Comput. Phys. 428 (2021)
Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
Stationary Density Estimation of Itô Diffusions Using Deep Learning. CoRR (2021)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR (2020)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
DIANet: Dense-and-Implicit Attention Network. AAAI (2020)
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI (2020)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
DIANet: Dense-and-Implicit Attention Network. CoRR (2019)
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
Machine Learning for Prediction with Missing Dynamics. CoRR (2019)
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR (2019)
Senwei Liang, Yuehaw Khoo, Haizhao Yang
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. CoRR (2018)