Yimeng Qi

Orcid: 0000-0002-0054-4468

According to our database1, Yimeng Qi authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Unraveling Technostress in Human-AI Collaboration: A Configurational Study of Metro Inspection Systems.
Proceedings of the Australasian Conference on Information Systems, 2025

2024
A Distributed Competitive and Collaborative Coordination for Multirobot Systems.
IEEE Trans. Mob. Comput., December, 2024

B2C Cross-Border E-Commerce: Spillover Effects of Knowledge Sharing in Virtual Communities.
Int. J. Electron. Commer., October, 2024

New Distributed Consensus Schemes With Time Delays and Output Saturation.
IEEE Trans Autom. Sci. Eng., July, 2024

2022
An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2022

Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination.
IEEE Trans. Cybern., 2022

Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies.
IEEE Trans Autom. Sci. Eng., 2022

Consumers' Trust Mechanism and Trust Boundary on Humanizing Customer Service Chatbots in E-commerce.
Proceedings of the HCI in Business, Government and Organizations, 2022

2021
Design, analysis and verification of recurrent neural dynamics for handling time-variant augmented Sylvester linear system.
Neurocomputing, 2021

Noise-tolerant gradient-oriented neurodynamic model for solving the Sylvester equation.
Appl. Soft Comput., 2021

2020
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020

Discrete Computational Neural Dynamics Models for Solving Time-Dependent Sylvester Equation With Applications to Robotics and MIMO Systems.
IEEE Trans. Ind. Informatics, 2020

Two neural dynamics approaches for computing system of time-varying nonlinear equations.
Neurocomputing, 2020

Discrete Perturbation-Immunity Neural Network for Dynamic Constrained Redundant Robot Control.
IEEE Access, 2020


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