Guoqi Li

Orcid: 0000-0002-8994-431X

Affiliations:

Institute of Automation, Chinese Academy of Sciences, Beijing, China

According to our database¹, Guoqi Li authored at least 165 papers between 2010 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Other

Bibliography

2026

Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons.

[BibT_eX]

[DOI]

Neural Networks, 2026

2025

Event-Based Video Reconstruction Via Spatial-Temporal Heterogeneous Spiking Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., September, 2025

SpikingBrain Technical Report: Spiking Brain-inspired Large Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

Scaling Linear Attention with Sparse State Expansion.

[BibT_eX]

[DOI]

CoRR, July, 2025

Spatial-Temporal Spiking Feature Pruning in Spiking Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., June, 2025

SVL: Spike-based Vision-language Pretraining for Efficient 3D Open-world Understanding.

[BibT_eX]

[DOI]

CoRR, May, 2025

Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset.

[BibT_eX]

[DOI]

CoRR, April, 2025

An Efficient Sequential Decentralized Federated Progressive Channel Pruning Strategy for Smart Grid Electricity Theft Detection.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, March, 2025

Advancing Spiking Neural Networks Toward Deep Residual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects.

[BibT_eX]

[DOI]

CoRR, February, 2025

Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT.

[BibT_eX]

[DOI]

CoRR, January, 2025

DAFDet: A Unified Dynamic SAR Target Detection Architecture With Asymptotic Fusion Enhancement and Feature Encoding Decoupling.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Enabling scale and rotation invariance in convolutional neural networks with retina like transformation.

[BibT_eX]

[DOI]

Neural Networks, 2025

Knowledge distillation for spiking neural networks: aligning features and saliency.

[BibT_eX]

[DOI]

Yifan Hu

Guoqi Li

Lei Deng

Neuromorph. Comput. Eng., 2025

MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient 3D Recognition with Event-driven Spike Sparse Convolution.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Spike Attention Coding for Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Structural Controllability of Multiplex Networks With the Minimum Number of Driver Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., December, 2024

Event-Based Depth Prediction With Deep Spiking Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., December, 2024

Corrections to "Brain-Inspired Computing: A Systematic Survey and Future Trends".

[BibT_eX]

[DOI]

Proc. IEEE, December, 2024

Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Improving Graph Collaborative Filtering via Spike Signal Embedding Perturbation.

[BibT_eX]

[DOI]

Ying Ma

Gang Chen

Guoqi Li

IEEE Trans. Cogn. Dev. Syst., October, 2024

Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., October, 2024

Network model with internal complexity bridges artificial intelligence and neuroscience.

[BibT_eX]

[DOI]

Nat. Comput. Sci., August, 2024

Rethinking Pretraining as a Bridge From ANNs to SNNs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Brain-Inspired Computing: A Systematic Survey and Future Trends.

[BibT_eX]

[DOI]

Proc. IEEE, June, 2024

Spatio-temporal fusion graph convolutional network for traffic flow forecasting.

[BibT_eX]

[DOI]

Inf. Fusion, April, 2024

Optimal Control of Temporal Networks With Variable Input and Node-Source Connection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., February, 2024

Target Controllability of Multiplex Networks With Weighted Interlayer Edges.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2024

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

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

[BibT_eX]

[DOI]

Neural Networks, 2024

Multi-scale full spike pattern for semantic segmentation.

[BibT_eX]

[DOI]

Neural Networks, 2024

Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching.

[BibT_eX]

[DOI]

CoRR, 2024

A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Spiking Transformer with Experts Mixture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Networks, September, 2023

Attention Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Semi-supervised partial label learning algorithm via reliable label propagation.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2023

Event-Based Semantic Segmentation With Posterior Attention.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

NP-Hardness of Tensor Network Contraction Ordering.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Sufficient Control of Complex Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Training Full Spike Neural Networks via Auxiliary Accumulation Pathway.

[BibT_eX]

[DOI]

CoRR, 2023

Filtered Observations for Model-Based Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Spike-driven Transformer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neuromorph. Comput. Eng., June, 2022

Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

E$^2$ DNet: An Ensembling Deep Neural Network for Solving Nonconvex Economic Dispatch in Smart Grid.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

[BibT_eX]

[DOI]

Sci. Robotics, 2022

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Modeling learnable electrical synapse for high precision spatio-temporal recognition.

[BibT_eX]

[DOI]

Neural Networks, 2022

Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2022

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Attention-based Local Mean K-Nearest Centroid Neighbor Classifier.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2021

Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Target Controllability of Two-Layer Multiplex Networks Based on Network Flow Theory.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Linear Quadratic Optimal Control of Time-Invariant Linear Networks With Selectable Input Matrix.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Key Nodes Selection in Controlling Complex Networks via Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Optimal Target Control of Complex Networks With Selectable Inputs.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

Nonlinear tensor train format for deep neural network compression.

[BibT_eX]

[DOI]

Neural Networks, 2021

QTTNet: Quantized tensor train neural networks for 3D object and video recognition.

[BibT_eX]

[DOI]

Neural Networks, 2021

Fast Search of the Optimal Contraction Sequence in Tensor Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2021

Training and inference for integer-based semantic segmentation network.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Tensor train decomposition for solving large-scale linear equations.

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

A K-Nearest Centroid Neighbor with attention Classifier.

[BibT_eX]

[DOI]

Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

2020

Matrix Function Optimization Problems Under Orthonormal Constraint.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

Sparsity-Inspired Optimal Topology Control of Complex Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition.

[BibT_eX]

[DOI]

Yue Zhou

Guoqi Li

Huiqi Li

IEEE Trans. Medical Imaging, 2020

Target Control of Directed Networks based on Network Flow Problems.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2020

SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

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

[BibT_eX]

[DOI]

Neural Networks, 2020

Hybrid tensor decomposition in neural network compression.

[BibT_eX]

[DOI]

Neural Networks, 2020

Compressing 3DCNNs based on tensor train decomposition.

[BibT_eX]

[DOI]

Neural Networks, 2020

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

[BibT_eX]

[DOI]

Neural Networks, 2020

Rethinking the performance comparison between SNNS and ANNS.

[BibT_eX]

[DOI]

Neural Networks, 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2020

Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2020

Target control and expandable target control of complex networks.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2020

Parallel alternating direction method of multipliers.

[BibT_eX]

[DOI]

Inf. Sci., 2020

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

[BibT_eX]

[DOI]

Neurocomputing, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Autom., 2020

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Minimum Cost Control of Directed Networks With Selectable Control Inputs.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Controlling Directed Networks With Evolving Topologies.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2019

Lossless Compression for 3DCNNs Based on Tensor Train Decomposition.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Controllability of Markovian jump Boolean control networks.

[BibT_eX]

[DOI]

Autom., 2019

Robust Task-Oriented Markerless Extrinsic Calibration for Robotic Pick-and-Place Scenarios.

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

Deep Spiking Neural Network with Spike Count based Learning Rule.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Dynamic Sparse Graph for Efficient Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Synchronization of Coupled Dynamical Systems: Tolerance to Weak Connectivity and Arbitrarily Bounded Time-Varying Delays.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Batch Normalization Sampling.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Towards a Unified Framework of Matrix Derivatives.

[BibT_eX]

[DOI]

IEEE Access, 2018

Crossbar-Aware Neural Network Pruning.

[BibT_eX]

[DOI]

IEEE Access, 2018

HitNet: Hybrid Ternary Recurrent Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

2017

Boundary Constraints for Minimum Cost Control of Directed Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Opinion diversity and community formation in adaptive networks.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Autom., 2017

A distributed hierarchical algorithm for multi-cluster constrained optimization.

[BibT_eX]

[DOI]

Autom., 2017

Optimal control of weighted networks based on node connection strength.

[BibT_eX]

[DOI]

Jie Ding

Changyun Wen

Guoqi Li

Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Locality sensitive batch feature extraction for high-dimensional data.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2016

2015

Iterative identification of block-oriented nonlinear systems based on biconvex optimization.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2015

Fixed point iteration in identifying bilinear models.

[BibT_eX]

[DOI]

Guoqi Li

Changyun Wen

Aimin Zhang

Syst. Control. Lett., 2015

Memory Dynamics in Attractor Networks.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2015

2014

Towards the online learning with Kernels in classification and regression.

[BibT_eX]

[DOI]

Guoqi Li

Guangshe Zhao

Feng Yang

Evol. Syst., 2014

Support vector machine based liver cancer early detection using magnetic resonance images.

[BibT_eX]

[DOI]

Lei Meng

Changyun Wen

Guoqi Li

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Min-max discriminant analysis based on gradient method for feature extraction.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013

Model-Based Online Learning With Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2013

Revised online learning with kernels for classification and regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Identification of Wiener Systems With Clipped Observations.

[BibT_eX]

[DOI]

Guoqi Li

Changyun Wen

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.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2012

2011

Identification of a Class of Nonlinear Autoregressive Models With Exogenous Inputs Based on Kernel Machines.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Convergence of normalized iterative identification of Hammerstein systems.

[BibT_eX]

[DOI]

Guoqi Li

Changyun Wen

Syst. Control. Lett., 2011

Error tolerance based support vector machine for regression.

[BibT_eX]

[DOI]

Neurocomputing, 2011

2010

A New Iterative Identification Scheme for Hammerstein Systems with Support Vector Machine Based on Biconvex Optimization.

[BibT_eX]

[DOI]

Guoqi Li

Changyun Wen

Wei Xing Zheng

Aust. J. Intell. Inf. Process. Syst., 2010

Identification of Wiener systems based on fixed point theory.

[BibT_eX]

[DOI]

Guoqi Li

Changyun Wen

Proceedings of the 11th International Conference on Control, 2010

Guoqi Li

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