A Comparison of Four Memetic Particle Swarm Optimization Algorithms for Continuous Optimization. - Xin Zhang; Xingming Liu; Mingshuo Liu; Shouju Liu; Yanyu Xiao (CSPS, 2017)

On the well-posedness of strong solution to ideal magnetohydrodynamic equations. - Mingshuo Liu; Rong Yuan (Int. J. Comput. Math., 2017)

On the existence of solution, Lie symmetry analysis and conservation law of magnetohydrodynamic equations. - Mingshuo Liu; Huanhe Dong (Commun. Nonlinear Sci. Numer. Simul., 2020)

Lie Symmetry Analysis of Burgers Equation and the Euler Equation on a Time Scale. - Mingshuo Liu; Huanhe Dong; Yong Fang 004; Yong Zhang (Symmetry, 2020)

An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design. - Mingshuo Liu; Shiyi Luo; Kevin Han; Bo Yuan 001; Ronald F. DeMara; Yu Bai 004 (ASAP, 2021)

An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset. - Mingshuo Liu; Kevin Han; Shiyi Luo; Mingze Pan; Mousam Hossain; Bo Yuan 001; Ronald F. DeMara; Yu Bai 004 (ACM Great Lakes Symposium on VLSI, 2021)

The Darboux Transformation and N-Soliton Solutions of Gerdjikov-Ivanov Equation on a Time-Space Scale. - Huanhe Dong; Xiaoqian Huang; Yong Zhang; Mingshuo Liu; Yong Fang 004 (Axioms, 2021)

The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China. - Huanhe Dong; Ya Gao; Yong Fang 004; Mingshuo Liu; Yuan Kong (Comput. Intell. Neurosci., 2021)

Equilibria and Stability Analysis of Cohen-Grossberg BAM Neural Networks on Time Scale. - Mingshuo Liu; Yong Fang 004; Huanhe Dong (J. Syst. Sci. Complex., 2022)

Deep Reinforcement Learning for a Humanoid Robot Basketball Player. - Shuaiqi Zhang; Guodong Zhao; Peng Lin; Mingshuo Liu; Jianhua Dong; Haoyu Zhang (ROBIO, 2023)

Periodic and Almost Periodic Solutions of Stochastic Inertial Bidirectional Associative Memory Neural Networks on Time Scales. - Mingshuo Liu; Huanhe Dong; Yong Zhang; Yong Fang 004 (Axioms, 2023)

Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train. - Mingshuo Liu; Miao Yin; Kevin Han; Ronald F. DeMara; Bo Yuan 001; Yu Bai 004 (Internet Things, 2023)

New wave behaviors and stability analysis for magnetohydrodynamic flows. - Shengfang Yang; Huanhe Dong; Mingshuo Liu (Networks Heterog. Media, 2024)

Exponential Stability of Dynamical Systems on Time Scales with Application to Multi-Agent Systems. - Mingshuo Liu; Huizhe Shi (Axioms, 2024)

Manoeuvre Target Tracking in Wireless Sensor Networks Using Convolutional Bi-Directional Long Short-Term Memory Neural Networks and Extended Kalman Filtering. - Duo Peng; Kun Xie; Mingshuo Liu (Sensors, 2024)

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions. - Yue Kang; Mingshuo Liu; Bongsoo Yi; Jing Lyu; Zhi Zhang; Doudou Zhou; Yao Li (CoRR, 2025)