Jiali Yu

According to our database1, Jiali Yu authored at least 30 papers between 2008 and 2021.

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

Timeline

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Links

On csauthors.net:

Bibliography

2021
Coexistence of continuous attractors with different dimensions for neural networks.
Neurocomputing, 2021

The effect of coefficients on the continuous attractors in coupled Highway Neural Networks.
Neurocomputing, 2021

2020
Line attractors of coupled ring neural networks with block circulant weight matrix.
Int. J. Comput. Math., 2020

Coexistence of multiple continuous attractors for lower-ordered neural networks.
Int. J. Comput. Math., 2020

HAWQV3: Dyadic Neural Network Quantization.
CoRR, 2020

"Local versus Nonlocal" Enterprise Linkages of Global Cities: A Comparison between Beijing and Shanghai, China.
Complex., 2020

FeatGraph: a flexible and efficient backend for graph neural network systems.
Proceedings of the International Conference for High Performance Computing, 2020

2019
Hybrid modular multilevel converter with cascaded full bridges for medium-voltage motor drives.
Trans. Inst. Meas. Control, 2019

BLF-based asymptotic tracking control for a class of time-varying full state constrained nonlinear systems.
Trans. Inst. Meas. Control, 2019

Improved Task and Resource Partitioning Under the Resource-Oriented Partitioned Scheduling.
J. Comput. Sci. Technol., 2019

Small Object Detection Algorithm Based on Feature Pyramid-Enhanced Fusion SSD.
Complex., 2019

Rule-Based HierarchicalRank: An Unsupervised Approach to Visible Tag Extraction from Semi-structured Chinese Text.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
Probability Modeled Optimal K-Frame for Erasures.
IEEE Access, 2018

Continuous Attractors of 3-D Discrete-Time Ring Networks with Circulant Weight Matrix.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Parameter as a Switch Between Dynamical States of a Network in Population Decoding.
IEEE Trans. Neural Networks Learn. Syst., 2017

Study of electroencephalogram feature extraction and classification of three tasks of motor imagery.
Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics, 2017

The coupling model between the upper and lower limbs during bipedal walking.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016
Stability Analysis and Fuzzy Control for Uncertain Delayed T-S Nonlinear Systems.
Int. J. Fuzzy Syst., 2016

2013
Dynamics Analysis of a Population Decoding Model.
IEEE Trans. Neural Networks Learn. Syst., 2013

Continuous attractors of discrete-time recurrent neural networks.
Neural Comput. Appl., 2013

Dynamical properties of continuous attractor neural network with background tuning.
Neurocomputing, 2013

2012
Synaptic conditions for auto-associative memory storage and pattern completion in Jensen et al.'s model of hippocampal area CA3.
J. Comput. Neurosci., 2012

2011
A Neuro-cognitive Robot for Spatial Navigation.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons.
IEEE Trans. Neural Networks, 2010

2009
Representations of Continuous Attractors of Recurrent Neural Networks.
IEEE Trans. Neural Networks, 2009

Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks.
IEEE Trans. Neural Networks, 2009

Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions.
Neurocomputing, 2009

Continuous Attractors of Lotka-Volterra Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 2009

2008
Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions.
IEEE Trans. Neural Networks, 2008


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