Yuhuan Chen

According to our database1, Yuhuan Chen authored at least 14 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
A pre-defined finite time neural solver for the time-variant matrix equation E(t)X(t)G(t)=D(t).
J. Frankl. Inst., 2024

2023
Multiplex Graph Representation Learning Via Dual Correlation Reduction.
IEEE Trans. Knowl. Data Eng., December, 2023

Multiplex Graph Representation Learning via Common and Private Information Mining.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Simple Self-supervised Multiplex Graph Representation Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2019
Weakly Supervised Salient Object Detection With Spatiotemporal Cascade Neural Networks.
IEEE Trans. Circuits Syst. Video Technol., 2019

Research on a New Singularity-Free Controller for Uncertain Lorenz System.
IEEE Access, 2019

2018
SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection.
IEEE Trans. Image Process., 2018

Video Salient Object Detection via Multiple Time-scale Analysis.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Neural Networks for the Output Tracking-Control Problem of Nonlinear Strict-Feedback System.
IEEE Access, 2017

2016
Unlocking the potential of p-doped hole transport layers in inverted organic light emitting diodes.
Displays, 2016

2013
Linear Simultaneous Equations' Neural Solution and Its Application to Convex Quadratic Programming with Equality-Constraint.
J. Appl. Math., 2013

Improved neural solution for the Lyapunov matrix equation based on gradient search.
Inf. Process. Lett., 2013

2011
Improved gradient-based neural networks for online solution of Lyapunov matrix equation.
Inf. Process. Lett., 2011

Simulation and Verification of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Stein Equation Solving.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011


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