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
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
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
Proc. IEEE, June, 2024
Inf. Fusion, April, 2024
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
IEEE Trans. Netw. Sci. Eng., 2024
Trans. Mach. Learn. Res., 2024
Connectional-style-guided contextual representation learning for brain disease diagnosis.
Neural Networks, 2024
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
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.
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
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
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
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
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
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
IEEE Trans. Image Process., 2023
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.
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
IEEE Access, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
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
IEEE CAA J. Autom. Sinica, 2022
IEEE CAA J. Autom. Sinica, 2022
Expert Syst. Appl., 2022
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
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
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
IEEE Trans. Cybern., 2021
Linear Quadratic Optimal Control of Time-Invariant Linear Networks With Selectable Input Matrix.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
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
Neural Networks, 2021
Neural Networks, 2021
Neural Networks, 2021
IEEE J. Sel. Top. Signal Process., 2021
Neurocomputing, 2021
Neurocomputing, 2021
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
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
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Netw. Sci. Eng., 2020
Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Control. Netw. Syst., 2020
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
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
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
J. Frankl. Inst., 2020
Supervised learning in spiking neural networks with synaptic delay-weight plasticity.
Neurocomputing, 2020
Neurocomputing, 2020
CoRR, 2020
Distributed adaptive leader-follower and leaderless consensus control of a class of strict-feedback nonlinear systems: a unified approach.
Autom., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Cybern., 2019
IEEE Trans. Control. Netw. Syst., 2019
A Lightweight System to Achieve Proactive Risk Management for Household ASIC-Resistant Cryptocurrency Mining.
IEICE Trans. Inf. Syst., 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
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
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
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
Expert Syst. Appl., 2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
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
IEEE Trans. Cybern., 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
Autom., 2017
Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint.
Ann. des Télécommunications, 2017
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017
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
Neurocomputing, 2016
Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity.
Frontiers Comput. Neurosci., 2016
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
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
2014
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
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
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
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
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
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
Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering Workshops, 2012
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012
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
Syst. Control. Lett., 2011
Proceedings of the Web Information Systems and Mining - International Conference, 2011
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
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
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
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2007
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