Guisong Liu

Orcid: 0000-0003-2360-0466

According to our database1, Guisong Liu authored at least 88 papers between 2006 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Effective Active Learning Method for Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., August, 2024

Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach.
IEEE Trans. Mob. Comput., May, 2024

Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G.
IEEE/ACM Trans. Netw., February, 2024

Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream.
IEEE Trans. Image Process., 2024

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion.
Neural Networks, 2024

A two-stage spiking meta-learning method for few-shot classification.
Knowl. Based Syst., 2024

Enhancing relation extraction using multi-task learning with SDP evidence.
Inf. Sci., 2024

SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning.
CoRR, 2024

Federated learning for spiking neural networks by hint-layer knowledge distillation.
Appl. Soft Comput., 2024

2023
Holistic Roadmap of Trends in Radio Access Network Slicing: A Survey.
IEEE Commun. Mag., December, 2023

Human-Level Control Through Directly Trained Deep Spiking Q-Networks.
IEEE Trans. Cybern., November, 2023

Active learning in multi-label image classification with graph convolutional network embedding.
Future Gener. Comput. Syst., November, 2023

Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Mob. Comput., October, 2023

DeepFESL: Deep Federated Echo State Learning-Based Proactive Content Caching in UAV-Assisted Networks.
IEEE Trans. Veh. Technol., September, 2023

Blockchain-Based Computing Resource Trading in Autonomous Multi-Access Edge Network Slicing: A Dueling Double Deep Q-Learning Approach.
IEEE Trans. Netw. Serv. Manag., September, 2023

Natural image matting based on surrogate model.
Appl. Soft Comput., August, 2023

SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network.
IEEE Trans. Veh. Technol., July, 2023

Stackelberg game-based dynamic resource trading for network slicing in 5G networks.
J. Netw. Comput. Appl., May, 2023

Bio-inspired Active Learning method in spiking neural network.
Knowl. Based Syst., 2023

Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2023

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility.
Neurocomputing, 2023

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling.
CoRR, 2023

Cooperative Resource Trading for Network Slicing in Industrial IoT: A Multi-Agent DRL Approach.
CoRR, 2023

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Attention Localness in Shared Encoder-Decoder Model For Text Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing.
IEEE Wirel. Commun. Lett., 2022

DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing - Deep Learning Approach.
IEEE Wirel. Commun. Lett., 2022

Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles.
IEEE Trans. Veh. Technol., 2022

Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G.
IEEE Trans. Netw. Serv. Manag., 2022

Effective Transfer Learning Algorithm in Spiking Neural Networks.
IEEE Trans. Cybern., 2022

Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward.
IEEE Syst. J., 2022

Defect detection of photovoltaic glass based on level set map.
Neural Comput. Appl., 2022

A deep learning approach for insulator instance segmentation and defect detection.
Neural Comput. Appl., 2022

When to transfer: a dynamic domain adaptation method for effective knowledge transfer.
Int. J. Mach. Learn. Cybern., 2022

Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning.
IEEE Internet Things J., 2022

An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN.
Proceedings of the IEEE International Performance, 2022

Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships: Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships.
Proceedings of the 7th International Conference on Intelligent Information Processing, 2022

2021
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2021

Deep Neural Network Based Relation Extraction: An Overview.
CoRR, 2021

2020
Enforcing Affinity Feature Learning through Self-attention for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning.
IEEE Syst. J., 2020

A neural-network-based framework for cigarette laser code identification.
Neural Comput. Appl., 2020

Efficient dynamic domain adaptation on deep CNN.
Multim. Tools Appl., 2020

An end-to-end functional spiking model for sequential feature learning.
Knowl. Based Syst., 2020

Direction-sensitive relation extraction using Bi-SDP attention model.
Knowl. Based Syst., 2020

Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network.
Knowl. Based Syst., 2020

Resource slicing and customization in RAN with dueling deep Q-Network.
J. Netw. Comput. Appl., 2020

End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs.
J. Netw. Comput. Appl., 2020

Revised reinforcement learning based on anchor graph hashing for autonomous cell activation in cloud-RANs.
Future Gener. Comput. Syst., 2020

Attention-Based Interaction Trajectory Prediction.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2020, 2020

2019
The maximum points-based supervised learning rule for spiking neural networks.
Soft Comput., 2019

Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network.
IEEE Syst. J., 2019

Multi-source sequential knowledge regression by using transfer RNN units.
Neural Networks, 2019

Delay-aware content distribution via cell clustering and content placement for multiple tenants.
J. Netw. Comput. Appl., 2019

Dynamic Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network.
IEEE Access, 2019

Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs.
IEEE Access, 2019

Autonomous Cache Resource Slicing and Content Placement at Virtualized Mobile Edge Network.
IEEE Access, 2019

View-Invariant and Similarity Learning for Robust Person Re-Identification.
IEEE Access, 2019

Sparse Label Smoothing Regularization for Person Re-Identification.
IEEE Access, 2019

Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018
Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification.
IEEE Trans. Cybern., 2018

Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification.
Pattern Recognit., 2018

Self Attention Grid for Person Re-Identification.
CoRR, 2018

Sparse Label Smoothing for Semi-supervised Person Re-Identification.
CoRR, 2018

2017
Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice.
KSII Trans. Internet Inf. Syst., 2017

Big Data Based Dynamic Flow Aggregation over 5G Network Slicing.
KSII Trans. Internet Inf. Syst., 2017

User Bandwidth Demand Centric Soft-Association Control in Wi-Fi Networks.
KSII Trans. Internet Inf. Syst., 2017

Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule.
Neurocomputing, 2017

2016
Reservation based Resource Management for SDN-based UE Cloud.
KSII Trans. Internet Inf. Syst., 2016

MARS: Multiple Access Radio Scheduling for a Multi-homed Mobile Device in Soft-RAN.
KSII Trans. Internet Inf. Syst., 2016

Energy Efficient Cell Management by Flow Scheduling in Ultra Dense Networks.
KSII Trans. Internet Inf. Syst., 2016

User Demand Aware Soft-Association Control in Ultra-Dense Small Cell Networks.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Air-Interface Slice Based Dynamic Resource Reservation for Ultra-Low-Latency IoT Transmissions.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Joint Resource Reservation and Flow Scheduling for Ultra-Low-Latency Transmission.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

2015
Computing k shortest paths from a source node to each other node.
Soft Comput., 2015

Computing k shortest paths using modified pulse-coupled neural network.
Neurocomputing, 2015

One-dimensional pairwise CNN for the global alignment of two DNA sequences.
Neurocomputing, 2015

2014
Extended monitoring with group localization in software defined hybrid Wi-Fi/zigbee networks: An initial prototype.
Proceedings of the 2014 International Symposium on Wireless Personal Multimedia Communications, 2014

Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

SDN architecture for cognitive radio networks.
Proceedings of the 1st International Workshop on Cognitive Cellular Systems, 2014

2013
Context-Aware Optimization on Medium Access Delay for High-Density 802.11n Wi-Fi Network.
Proceedings of the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2013

2009
Study to Speech Emotion Recognition Based on TWINsSVM.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Modified PCNN Filtering for Fingerprint Enhancement.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
Boosting the Hierarchical Hyperellipsoidal Neural Gas Networks.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
A hierarchical intrusion detection model based on the PCA neural networks.
Neurocomputing, 2007

2006
Intrusion Detection Using PCASOM Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


  Loading...