Senwei Liang

According to our database, Senwei Liang authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Probing reaction channels via reinforcement learning.

Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang

Mach. Learn. Sci. Technol., December, 2023

Stationary Density Estimation of Itô Diffusions Using Deep Learning.

Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang

SIAM J. Numer. Anal., February, 2023

Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations.

Hardeep Bassi, Yuanran Zhu, Senwei Liang, Jia Yin, Cian C. Reeves, Vojtech Vlcek, Chao Yang

CoRR, 2023

2022

Quantifying the spatial homogeneity of urban road networks via graph neural networks.

Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Takahiro Yabe, Satish V. Ukkusuri, Jianzhu Ma

Nat. Mach. Intell., 2022

Layer-wise Shared Attention Network on Dynamical System Perspective.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin

CoRR, 2022

Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec.

Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin

CoRR, 2022

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin

CoRR, 2022

Finite Expression Method for Solving High-Dimensional Partial Differential Equations.

Senwei Liang, Haizhao Yang

CoRR, 2022

Stiffness-aware neural network for learning Hamiltonian systems.

Senwei Liang, Zhongzhan Huang, Hong Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Machine learning for prediction with missing dynamics.

John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang

J. Comput. Phys., 2021

AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training.

Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He

CoRR, 2021

Solving PDEs on Unknown Manifolds with Machine Learning.

Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang

CoRR, 2021

Reproducing Activation Function for Deep Learning.

Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang

CoRR, 2021

Quantifying spatial homogeneity of urban road networks via graph neural networks.

Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma

CoRR, 2021

Blending Pruning Criteria for Convolutional Neural Networks.

Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Efficient Attention Network: Accelerate Attention by Searching Where to Plug.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang

CoRR, 2020

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise.

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DIANet: Dense-and-Implicit Attention Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.

Senwei Liang, Yuehaw Khoo, Haizhao Yang

CoRR, 2018