Guoqi Li

Orcid: 0000-0002-8994-431X

According to our database1, Guoqi Li authored at least 209 papers between 2006 and 2024.

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Bibliography

2024
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Improving Graph Collaborative Filtering via Spike Signal Embedding Perturbation.
IEEE Trans. Cogn. Dev. Syst., October, 2024

Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing.
IEEE Trans. Cogn. Dev. Syst., October, 2024

Network model with internal complexity bridges artificial intelligence and neuroscience.
Nat. Comput. Sci., August, 2024

Rethinking Pretraining as a Bridge From ANNs to SNNs.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Brain-Inspired Computing: A Systematic Survey and Future Trends.
Proc. IEEE, June, 2024

Spatio-temporal fusion graph convolutional network for traffic flow forecasting.
Inf. Fusion, April, 2024

Optimal Control of Temporal Networks With Variable Input and Node-Source Connection.
IEEE Trans. Cybern., February, 2024

A multidimensional quantitative risk assessment framework for dense areas of stay points for urban HazMat vehicles.
Reliab. Eng. Syst. Saf., January, 2024

Target Controllability of Multiplex Networks With Weighted Interlayer Edges.
IEEE Trans. Netw. Sci. Eng., 2024

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.
Trans. Mach. Learn. Res., 2024

Connectional-style-guided contextual representation learning for brain disease diagnosis.
Neural Networks, 2024

SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT.
Neural Networks, 2024

Multi-scale full spike pattern for semantic segmentation.
Neural Networks, 2024

Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images.
Medical Image Anal., 2024

Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective.
CoRR, 2024

Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension.
CoRR, 2024

Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions.
CoRR, 2024

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning.
CoRR, 2024

Scalable Autoregressive Image Generation with Mamba.
CoRR, 2024

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.
CoRR, 2024

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN.
CoRR, 2024

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking.
CoRR, 2024

Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images.
CoRR, 2024

RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.
Neural Networks, September, 2023

Attention Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Semi-supervised partial label learning algorithm via reliable label propagation.
Appl. Intell., May, 2023

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2023

Event-Based Semantic Segmentation With Posterior Attention.
IEEE Trans. Image Process., 2023

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.
CoRR, 2023

NP-Hardness of Tensor Network Contraction Ordering.
CoRR, 2023

Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis.
CoRR, 2023

Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network.
CoRR, 2023

Sufficient Control of Complex Networks.
CoRR, 2023

Training Full Spike Neural Networks via Auxiliary Accumulation Pathway.
CoRR, 2023

A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs.
IEEE Access, 2023

Filtered Observations for Model-Based Multi-agent Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Spike-driven Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inherent Redundancy in Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Directly-Trained Spiking Neural Networks for Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Test-Time Training-Free Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
General spiking neural network framework for the learning trajectory from a noisy mmWave radar.
Neuromorph. Comput. Eng., June, 2022

Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks.
IEEE Trans. Syst. Man Cybern. Syst., 2022

LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.
IEEE Trans. Neural Networks Learn. Syst., 2022

Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller and Predictive Environmental Coordinator.
IEEE J. Biomed. Health Informatics, 2022

E$^2$ DNet: An Ensembling Deep Neural Network for Solving Nonconvex Economic Dispatch in Smart Grid.
IEEE Trans. Ind. Informatics, 2022

Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.
Sci. Robotics, 2022

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Modeling learnable electrical synapse for high precision spatio-temporal recognition.
Neural Networks, 2022

Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization.
Neurocomputing, 2022

Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies.
Int. J. Autom. Comput., 2022

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey.
IEEE CAA J. Autom. Sinica, 2022

Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics.
IEEE CAA J. Autom. Sinica, 2022

Attention-based Local Mean K-Nearest Centroid Neighbor Classifier.
Expert Syst. Appl., 2022

MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network.
CoRR, 2022

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
An Accelerated Distributed Gradient-Based Algorithm for Constrained Optimization With Application to Economic Dispatch in a Large-Scale Power System.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning.
ACM Trans. Design Autom. Electr. Syst., 2021

Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method.
IEEE Trans. Neural Networks Learn. Syst., 2021

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2021

Target Controllability of Two-Layer Multiplex Networks Based on Network Flow Theory.
IEEE Trans. Cybern., 2021

Linear Quadratic Optimal Control of Time-Invariant Linear Networks With Selectable Input Matrix.
IEEE Trans. Cybern., 2021

Key Nodes Selection in Controlling Complex Networks via Convex Optimization.
IEEE Trans. Cybern., 2021

Optimal Target Control of Complex Networks With Selectable Inputs.
IEEE Trans. Control. Netw. Syst., 2021

Recognition of Operating Characteristics of Heavy Trucks Based on the Identification of GPS Trajectory Stay Points.
Secur. Commun. Networks, 2021

Nonlinear tensor train format for deep neural network compression.
Neural Networks, 2021

Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
Neural Networks, 2021

QTTNet: Quantized tensor train neural networks for 3D object and video recognition.
Neural Networks, 2021

Fast Search of the Optimal Contraction Sequence in Tensor Networks.
IEEE J. Sel. Top. Signal Process., 2021

Training and inference for integer-based semantic segmentation network.
Neurocomputing, 2021

Tensor train decomposition for solving large-scale linear equations.
Neurocomputing, 2021

Advancing Residual Learning towards Powerful Deep Spiking Neural Networks.
CoRR, 2021

ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks.
CoRR, 2021

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions.
CoRR, 2021

Computational drug repositioning based on the relationships between substructure-indication.
Briefings Bioinform., 2021

A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems.
Adv. Intell. Syst., 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A K-Nearest Centroid Neighbor with attention Classifier.
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

Going Deeper With Directly-Trained Larger Spiking Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Matrix Function Optimization Problems Under Orthonormal Constraint.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Sparsity-Inspired Optimal Topology Control of Complex Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition.
IEEE Trans. Medical Imaging, 2020

Target Control of Directed Networks based on Network Flow Problems.
IEEE Trans. Control. Netw. Syst., 2020

SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering.
IEEE Trans. Autom. Control., 2020

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey.
Proc. IEEE, 2020

Training high-performance and large-scale deep neural networks with full 8-bit integers.
Neural Networks, 2020

Hybrid tensor decomposition in neural network compression.
Neural Networks, 2020

Compressing 3DCNNs based on tensor train decomposition.
Neural Networks, 2020

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
Neural Networks, 2020

Rethinking the performance comparison between SNNS and ANNS.
Neural Networks, 2020

Software defect prediction based on correlation weighted class association rule mining.
Knowl. Based Syst., 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.
IEEE J. Solid State Circuits, 2020

Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays.
J. Frankl. Inst., 2020

Target control and expandable target control of complex networks.
J. Frankl. Inst., 2020

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

Supervised learning in spiking neural networks with synaptic delay-weight plasticity.
Neurocomputing, 2020

A deadlock-free physical mapping method on the many-core neural network chip.
Neurocomputing, 2020

Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs.
CoRR, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.
CoRR, 2020

Distributed adaptive leader-follower and leaderless consensus control of a class of strict-feedback nonlinear systems: a unified approach.
Autom., 2020

Restoring Negative Information in Few-Shot Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

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

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

Controlling Directed Networks With Evolving Topologies.
IEEE Trans. Control. Netw. Syst., 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 Trans. Inf. Syst., 2019

Transfer Learning in General Lensless Imaging through Scattering Media.
CoRR, 2019

Bridging adversarial samples and adversarial networks.
CoRR, 2019

Lossless Compression for 3DCNNs Based on Tensor Train Decomposition.
CoRR, 2019

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

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

Controllability of Markovian jump Boolean control networks.
Autom., 2019

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

Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain-Computer Interfaces.
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

Efficient Mapping without Deadlock on the Many-core Neural Network Chip.
Proceedings of the 15th IEEE International Conference on Control and Automation, 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. Cybern., 2018

Synchronization of Coupled Dynamical Systems: Tolerance to Weak Connectivity and Arbitrarily Bounded Time-Varying Delays.
IEEE Trans. Autom. Control., 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. Frankl. Inst., 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

Batch Normalization Sampling.
CoRR, 2018

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

L1-Norm Batch Normalization for Efficient Training of 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. Cybern., 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.
Autom., 2017

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

Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint.
Ann. 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.
Frontiers 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.
Syst. Control. Lett., 2015

Fixed point iteration in identifying bilinear models.
Syst. Control. Lett., 2015

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

Memory Dynamics in Attractor Networks.
Comput. Intell. Neurosci., 2015

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

A new computing rule for neuromorphic engineering.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 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 Trans. Fundam. Electron. Commun. Comput. Sci., 2014

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

Towards the online learning with Kernels in classification and regression.
Evol. Syst., 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 Networks Learn. 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 Trans. Fundam. Electron. Commun. Comput. Sci., 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 Process., 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 Trans. Inf. Syst., 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 Process., 2011

Convergence of normalized iterative identification of Hammerstein systems.
Syst. Control. Lett., 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.
Aust. J. Intell. Inf. Process. Syst., 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 Trans. Inf. Syst., 2007

An On-Demand QoS Service Composition Protocol for MANETs.
IEICE Trans. Inf. Syst., 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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