Mingshuo Liu
Orcid: 0000-0003-2951-3603
According to our database1,
Mingshuo Liu authored at least 25 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Tensortrim: dynamic tensor-train decomposition for efficient neural network compression.
Int. J. Mach. Learn. Cybern., May, 2026
Evaluating AI Grading on Real-World Handwritten College Mathematics: A Large-Scale Study Toward a Benchmark.
CoRR, March, 2026
2025
Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions.
CoRR, June, 2025
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
Research and Implementation of Humanoid Robot Footstepping Method Based on Deep Reinforcement Learning and Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025
Humanoid Robot Grasping via Deep and Inverse Reinforcement Learning: Research and Implementation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025
LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025
2024
Manoeuvre Target Tracking in Wireless Sensor Networks Using Convolutional Bi-Directional Long Short-Term Memory Neural Networks and Extended Kalman Filtering.
Sensors, July, 2024
Exponential Stability of Dynamical Systems on Time Scales with Application to Multi-Agent Systems.
Axioms, February, 2024
Networks Heterog. Media, 2024
Integration of attention mechanism and CNN-BiGRU for TDOA/FDOA collaborative mobile underwater multi-scene localization algorithm.
Complex Intell. Syst., 2024
2023
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train.
Internet Things, July, 2023
Periodic and Almost Periodic Solutions of Stochastic Inertial Bidirectional Associative Memory Neural Networks on Time Scales.
Axioms, June, 2023
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
2022
Equilibria and Stability Analysis of Cohen-Grossberg BAM Neural Networks on Time Scale.
J. Syst. Sci. Complex., 2022
2021
The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China.
Comput. Intell. Neurosci., 2021
The Darboux Transformation and N-Soliton Solutions of Gerdjikov-Ivanov Equation on a Time-Space Scale.
Axioms, 2021
An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021
2020
Symmetry, 2020
On the existence of solution, Lie symmetry analysis and conservation law of magnetohydrodynamic equations.
Commun. Nonlinear Sci. Numer. Simul., 2020
2017
Int. J. Comput. Math., 2017
A Comparison of Four Memetic Particle Swarm Optimization Algorithms for Continuous Optimization.
Proceedings of the Communications, Signal Processing, and Systems, 2017