Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. - Senwei Liang; Yuehaw Khoo; Haizhao Yang (CoRR, 2018)

DIANet: Dense-and-Implicit Attention Network. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Haizhao Yang (AAAI, 2020)

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. - Senwei Liang; Zhongzhan Huang; Mingfu Liang; Haizhao Yang (AAAI, 2020)

Efficient Attention Network: Accelerate Attention by Searching Where to Plug. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Wei He 025; Haizhao Yang (CoRR, 2020)

Blending Pruning Criteria for Convolutional Neural Networks. - Wei He 025; Zhongzhan Huang; Mingfu Liang; Senwei Liang; Haizhao Yang (ICANN (4), 2021)

Quantifying spatial homogeneity of urban road networks via graph neural networks. - Jiawei Xue; Nan Jiang 012; Senwei Liang; Qiyuan Pang; Satish V. Ukkusuri; Jianzhu Ma (CoRR, 2021)

Reproducing Activation Function for Deep Learning. - Senwei Liang; Liyao Lyu; Chunmei Wang; Haizhao Yang (CoRR, 2021)

Solving PDEs on Unknown Manifolds with Machine Learning. - Senwei Liang; Shixiao W. Jiang; John Harlim; Haizhao Yang (CoRR, 2021)

AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. - Zhongzhan Huang; Mingfu Liang; Senwei Liang; Wei He 025 (CoRR, 2021)

Machine learning for prediction with missing dynamics. - John Harlim; Shixiao W. Jiang; Senwei Liang; Haizhao Yang (J. Comput. Phys., 2021)

Stiffness-aware neural network for learning Hamiltonian systems. - Senwei Liang; Zhongzhan Huang; Hong Zhang (ICLR, 2022)

Finite Expression Method for Solving High-Dimensional Partial Differential Equations. - Senwei Liang; Haizhao Yang (CoRR, 2022)

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Wei He 025; Haizhao Yang; 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)

Layer-wise Shared Attention Network on Dynamical System Perspective. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Weiling He; Liang Lin (CoRR, 2022)

Quantifying the spatial homogeneity of urban road networks via graph neural networks. - Jiawei Xue; Nan Jiang 012; Senwei Liang; Qiyuan Pang; Takahiro Yabe; Satish V. Ukkusuri; Jianzhu Ma (Nat. Mach. Intell., 2022)

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 001 (CoRR, 2023)

Stationary Density Estimation of Itô Diffusions Using Deep Learning. - Yiqi Gu; John Harlim; Senwei Liang; Haizhao Yang (SIAM J. Numer. Anal., 2023)

Probing reaction channels via reinforcement learning. - Senwei Liang; Aditya N. Singh; Yuanran Zhu; David T. Limmer; Chao Yang 001 (Mach. Learn. Sci. Technol., 2023)

Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Wei He 025; Haizhao Yang; Liang Lin (ICME, 2024)

Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method. - Gareth Hardwick; Senwei Liang; Haizhao Yang (CoRR, 2024)

Learning Epidemiological Dynamics via the Finite Expression Method. - Jianda Du; Senwei Liang; Chunmei Wang (CoRR, 2024)

Flat Local Minima for Continual Learning on Semantic Segmentation. - Zhongzhan Huang; Mingfu Liang; Senwei Liang; Shanshan Zhong (MMM (1), 2025)

A generic shared attention mechanism for various backbone neural networks. - Zhongzhan Huang; Senwei Liang; Mingfu Liang (Neurocomputing, 2025)

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. - Xinkun Wang; Yifang Wang 013; Senwei Liang; Feilong Tang; Chengzhi Liu; Ming Hu; Chao Hu; Junjun He; Zongyuan Ge; Imran Razzak (CoRR, 2025)

Identifying Unknown Stochastic Dynamics via Finite expression methods. - Senwei Liang; Chunmei Wang; Xingjian Xu (CoRR, 2025)

H-FEX: A Symbolic Learning Method for Hamiltonian Systems. - Jasen Lai; Senwei Liang; Chunmei Wang (CoRR, 2025)