Guoqi Li

According to our database1, Guoqi Li authored at least 87 papers between 2006 and 2020.

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Bibliography

2020
Parallel alternating direction method of multipliers.
Inf. Sci., 2020

2019
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2019

Minimum Cost Control of Directed Networks With Selectable Control Inputs.
IEEE Trans. Cybernetics, 2019

Controlling Directed Networks With Evolving Topologies.
IEEE Trans. Control of Network Systems, 2019

Super-resolution of spatiotemporal event-stream image.
Neurocomputing, 2019

A Lightweight System to Achieve Proactive Risk Management for Household ASIC-Resistant Cryptocurrency Mining.
IEICE Transactions, 2019

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.
CoRR, 2019

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers.
CoRR, 2019

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks.
CoRR, 2019

Deep Spiking Neural Network with Spike Count based Learning Rule.
CoRR, 2019

Controllability of Markovian jump Boolean control networks.
Automatica, 2019

Robust Task-Oriented Markerless Extrinsic Calibration for Robotic Pick-and-Place Scenarios.
IEEE Access, 2019

Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform.
IEEE Access, 2019

Deep Spiking Neural Network with Spike Count based Learning Rule.
Proceedings of the International Joint Conference on Neural Networks, 2019

Dynamic Sparse Graph for Efficient Deep Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Direct Training for Spiking Neural Networks: Faster, Larger, Better.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions.
IEEE Trans. Cybernetics, 2018

Synchronization of Coupled Dynamical Systems: Tolerance to Weak Connectivity and Arbitrarily Bounded Time-Varying Delays.
IEEE Trans. Automat. Contr., 2018

GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework.
Neural Networks, 2018

Towards the minimum-cost control of target nodes in directed networks with linear dynamics.
J. Franklin Institute, 2018

Deep representation via convolutional neural network for classification of spatiotemporal event streams.
Neurocomputing, 2018

Training deep neural networks with discrete state transition.
Neurocomputing, 2018

A novel software defect prediction based on atomic class-association rule mining.
Expert Syst. Appl., 2018

Target Control of Directed Networks based on Network Flow Problems.
CoRR, 2018

Batch Normalization Sampling.
CoRR, 2018

Dynamic Sparse Graph for Efficient Deep Learning.
CoRR, 2018

Direct Training for Spiking Neural Networks: Faster, Larger, Better.
CoRR, 2018

Crossbar-aware neural network pruning.
CoRR, 2018

L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks.
CoRR, 2018

Training and Inference with Integers in Deep Neural Networks.
CoRR, 2018

Super-resolution of spatiotemporal event-based image.
CoRR, 2018

Towards a Unified Framework of Matrix Derivatives.
IEEE Access, 2018

Crossbar-Aware Neural Network Pruning.
IEEE Access, 2018

HitNet: Hybrid Ternary Recurrent Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Training and Inference with Integers in Deep Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

2017
Boundary Constraints for Minimum Cost Control of Directed Networks.
IEEE Trans. Cybernetics, 2017

Opinion diversity and community formation in adaptive networks.
CoRR, 2017

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.
CoRR, 2017

Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework.
CoRR, 2017

Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference.
Automatica, 2017

A distributed hierarchical algorithm for multi-cluster constrained optimization.
Automatica, 2017

Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint.
Annales des Télécommunications, 2017

A Fault Diagnosis Expert System for Flight Control Software Based on SFMEA and SFTA.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Optimal control of weighted networks based on node connection strength.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Locality sensitive batch feature extraction for high-dimensional data.
Neurocomputing, 2016

Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity.
Front. Comput. Neurosci., 2016

Classification of Spatiotemporal Events Based on Random Forest.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015
Iterative identification of block-oriented nonlinear systems based on biconvex optimization.
Systems & Control Letters, 2015

Fixed point iteration in identifying bilinear models.
Systems & Control Letters, 2015

Real-time Tracking Based on Neuromrophic Vision.
CoRR, 2015

Memory Dynamics in Attractor Networks.
Comp. Int. and Neurosc., 2015

Real-time tracking based on neuromrophic vision.
Proceedings of the 2015 15th Non-Volatile Memory Technology Symposium (NVMTS), 2015

A new computing rule for neuromorphic engineering.
Proceedings of the 2015 15th Non-Volatile Memory Technology Symposium (NVMTS), 2015

An entropy-based method for estimating demographic trends.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014
A Modified FTA Approach to Achieve Runtime Safety Analysis of Critical Systems.
IEICE Transactions, 2014

A Framework to Integrate Public Information into Runtime Safety Analysis for Critical Systems.
IEICE Transactions, 2014

Towards the online learning with Kernels in classification and regression.
Evolving Systems, 2014

Support vector machine based liver cancer early detection using magnetic resonance images.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Min-max discriminant analysis based on gradient method for feature extraction.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013
Model-Based Online Learning With Kernels.
IEEE Trans. Neural Netw. Learning Syst., 2013

Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity.
Int. J. Neural Syst., 2013

Ontology-Based Reuse of Failure Modes in Existing Databases for FMEA: Methodology and Tool.
IEICE Transactions, 2013

Revised online learning with kernels for classification and regression.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Identification of Wiener Systems With Clipped Observations.
IEEE Trans. Signal Processing, 2012

Presynaptic Learning and Memory with a Persistent Firing Neuron and a Habituating Synapse: a Model of Short Term Persistent Habituation.
Int. J. Neural Syst., 2012

Software FMEA for Safety-Critical System Based on Co-analysis of System Model and Software Model.
IEICE Transactions, 2012

Ontology-Based Reuse of Failure Modes for FMEA: Methodology and Tool.
Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering Workshops, 2012

Online learning with kernels in classification and regression.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Fault Model Libraries for Safety Analysis and their Ontology-based Reuse.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

2011
Identification of a Class of Nonlinear Autoregressive Models With Exogenous Inputs Based on Kernel Machines.
IEEE Trans. Signal Processing, 2011

Convergence of normalized iterative identification of Hammerstein systems.
Systems & Control Letters, 2011

Error tolerance based support vector machine for regression.
Neurocomputing, 2011

Passive Data Storage Based Housewares Store Management System.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

FTA Based Runtime Evaluation of System Reliability for Autonomous Unmanned Vehicle.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

QP Based Framework for Development and Formal Verification of Flight Control Software of UAV.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

SysML Aided Safety Analysis for Safety-Critical Systems.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2010
A New Iterative Identification Scheme for Hammerstein Systems with Support Vector Machine Based on Biconvex Optimization.
Austr. J. Intelligent Information Processing Systems, 2010

Identification of Wiener systems based on fixed point theory.
Proceedings of the 11th International Conference on Control, 2010

A Scenario-Based Architecture for Reliability Design of Artificial Intelligent Software.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

2009
A Novel Ontology-Aided Method for Integrating Prior Knowledge into Data Mining.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A Formal Method Based Case Study for Access Control.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2007
Incorporating Metadata into Data Mining with Ontology.
IEICE Transactions, 2007

An On-Demand QoS Service Composition Protocol for MANETs.
IEICE Transactions, 2007

Extracting Features from Gene Ontology for the Identification of Protein Subcellular Location by Semantic Similarity Measurement.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

2006
Analysis of the Features Extracted from Sequence for Prediction of Protein's Subcellular Localization Using Fourier Transform.
Proceedings of the 6th Industrial Conference on Data Mining, Poster Proceedings, 2006


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