Guisong Liu

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Effective Active Learning Method for Spiking Neural Networks.

Xiurui Xie, Bei Yu, Guisong Liu, Qiugang Zhan, Huajin Tang

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.

Guolin Sun, Gordon Owusu Boateng, Kai Liu, Daniel Ayepah-Mensah, Guisong Liu

IEEE Trans. Veh. Technol., August, 2024

Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach.

Guolin Sun, Gordon Owusu Boateng, Liyuan Luo, Huan Chen, Daniel Ayepah-Mensah, Guisong Liu

IEEE Trans. Mob. Comput., May, 2024

Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G.

Daniel Ayepah-Mensah, Guolin Sun, Gordon Owusu Boateng, Stephen Anokye, Guisong Liu

IEEE/ACM Trans. Netw., February, 2024

Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream.

Qiugang Zhan, Guisong Liu, Xiurui Xie, Ran Tao, Malu Zhang, Huajin Tang

IEEE Trans. Image Process., 2024

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion.

Li Huang, Pei Li, Qiang Gao, Guisong Liu, Zhipeng Luo, Tianrui Li

Neural Networks, 2024

A two-stage spiking meta-learning method for few-shot classification.

Qiugang Zhan, Bingchao Wang, Anning Jiang, Xiurui Xie, Malu Zhang, Guisong Liu

Knowl. Based Syst., 2024

Enhancing relation extraction using multi-task learning with SDP evidence.

Hailin Wang, Dan Zhang, Guisong Liu, Li Huang, Ke Qin

Inf. Sci., 2024

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

Qiugang Zhan, Jinbo Cao, Xiurui Xie, Malu Zhang, Huajin Tang, Guisong Liu

CoRR, 2024

Federated learning for spiking neural networks by hint-layer knowledge distillation.

Xiurui Xie, Jingxuan Feng, Guisong Liu, Qiugang Zhan, Zhetong Liu, Malu Zhang

Appl. Soft Comput., 2024

2023

Holistic Roadmap of Trends in Radio Access Network Slicing: A Survey.

Guolin Sun, Daniel Ayepah-Mensah, Gordon Owusu Boateng, Noble Arden Elorm Kuadey, Mohamed Basher Omer, Guisong Liu

IEEE Commun. Mag., December, 2023

Human-Level Control Through Directly Trained Deep Spiking Q-Networks.

Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang

IEEE Trans. Cybern., November, 2023

Active learning in multi-label image classification with graph convolutional network embedding.

Xiurui Xie, Maojun Tian, Guangchun Luo, Guisong Liu, Yizhe Wu, Ke Qin

Future Gener. Comput. Syst., November, 2023

Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach.

Gordon Owusu Boateng, Guolin Sun, Daniel Ayepah-Mensah, Daniel Mawunyo Doe, Ruijie Ou, Guisong Liu

IEEE Trans. Mob. Comput., October, 2023

DeepFESL: Deep Federated Echo State Learning-Based Proactive Content Caching in UAV-Assisted Networks.

Gerald Tietaa Maale, Guolin Sun, Noble Arden Elorm Kuadey, Thomas Kwantwi, Ruijie Ou, Guisong Liu

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.

Thomas Kwantwi, Guolin Sun, Noble Arden Elorm Kuadey, Gerald Tietaa Maale, Guisong Liu

IEEE Trans. Netw. Serv. Manag., September, 2023

Natural image matting based on surrogate model.

Yihui Liang, Hongshan Gou, Fujian Feng, Guisong Liu, Han Huang

Appl. Soft Comput., August, 2023

SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network.

Sebakara Samuel Rene Adolphe, Guolin Sun, Gordon Owusu Boateng, Bruce Mareri, Ruijie Ou, Guisong Liu

IEEE Trans. Veh. Technol., July, 2023

Stackelberg game-based dynamic resource trading for network slicing in 5G networks.

Ruijie Ou, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guolin Sun, Guisong Liu

J. Netw. Comput. Appl., May, 2023

Bio-inspired Active Learning method in spiking neural network.

Qiugang Zhan, Guisong Liu, Xiurui Xie, Malu Zhang, Guolin Sun

Knowl. Based Syst., 2023

Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach.

Ruijie Ou, Guolin Sun, Daniel Ayepah-Mensah, Gordon Owusu Boateng, Guisong Liu

IEEE Internet Things J., 2023

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

Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu

Neurocomputing, 2023

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

Qiugang Zhan, Xiurui Xie, Guisong Liu, Malu Zhang

CoRR, 2023

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

Gordon Owusu Boateng, Guisong Liu

CoRR, 2023

HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning.

Li Huang, Kai Liu, Chaoran Liu, Qiang Gao, Xiao Zhou, Guisong Liu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction.

Qiang Gao, Hongzhu Fu, Yutao Wei, Li Huang, Xingmin Liu, Guisong Liu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Attention Localness in Shared Encoder-Decoder Model For Text Summarization.

Li Huang, Hongmei Wu, Qiang Gao, Guisong Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing.

Bruce Mareri, Gordon Owusu Boateng, Ruijie Ou, Guolin Sun, Yu Pang, Guisong Liu

IEEE Wirel. Commun. Lett., 2022

DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing - Deep Learning Approach.

Noble Arden Elorm Kuadey, Gerald Tietaa Maale, Thomas Kwantwi, Guolin Sun, Guisong Liu

IEEE Wirel. Commun. Lett., 2022

Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles.

Hayla Nahom Abishu, Abegaz Mohammed Seid, Yasin Habtamu Yacob, Tewodros Ayall, Guolin Sun, Guisong Liu

IEEE Trans. Veh. Technol., 2022

Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G.

Gordon Owusu Boateng, Daniel Ayepah-Mensah, Daniel Mawunyo Doe, Abegaz Mohammed Seid, Guolin Sun, Guisong Liu

IEEE Trans. Netw. Serv. Manag., 2022

Effective Transfer Learning Algorithm in Spiking Neural Networks.

Qiugang Zhan, Guisong Liu, Xiurui Xie, Guolin Sun, Huajin Tang

IEEE Trans. Cybern., 2022

Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward.

Guolin Sun, Daniel Ayepah-Mensah, Rong Xu, Victor Kwaku Agbesi, Guisong Liu, Wei Jiang

IEEE Syst. J., 2022

Defect detection of photovoltaic glass based on level set map.

Shuai Dong, Chen Chen, Yihui Liang, Kun Zou, Guisong Liu

Neural Comput. Appl., 2022

A deep learning approach for insulator instance segmentation and defect detection.

Eldad Antwi-Bekoe, Guisong Liu, Jean-Paul Ainam, Guolin Sun, Xiurui Xie

Neural Comput. Appl., 2022

When to transfer: a dynamic domain adaptation method for effective knowledge transfer.

Xiurui Xie, Qing Cai, Hongjie Zhang, Malu Zhang, Zeheng Yang, Guisong Liu

Int. J. Mach. Learn. Cybern., 2022

Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning.

Guolin Sun, Kai Liu, Gordon Owusu Boateng, Guisong Liu, Wei Jiang

IEEE Internet Things J., 2022

An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN.

Lizong Zhang, Yutao Jiang, Bei Hui, Zhe Liu, Guisong Liu

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.

Minghui Zhang, Lizong Zhang, Yiying Liu, Xiujian Zhang, Guisong Liu

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.

Abegaz Mohammed Seid, Gordon Owusu Boateng, Stephen Anokye, Thomas Kwantwi, Guolin Sun, Guisong Liu

IEEE Internet Things J., 2021

Deep Neural Network Based Relation Extraction: An Overview.

Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu

CoRR, 2021

2020

Enforcing Affinity Feature Learning through Self-attention for Person Re-identification.

Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo, Brighter Agyemang

ACM Trans. Multim. Comput. Commun. Appl., 2020

Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning.

Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang

IEEE Syst. J., 2020

A neural-network-based framework for cigarette laser code identification.

Zeheng Yang, Xiurui Xie, Qiugang Zhan, Guisong Liu, Qing Cai, Xu Zheng

Neural Comput. Appl., 2020

Efficient dynamic domain adaptation on deep CNN.

Zeheng Yang, Guisong Liu, Xiurui Xie, Qing Cai

Multim. Tools Appl., 2020

An end-to-end functional spiking model for sequential feature learning.

Xiurui Xie, Guisong Liu, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu

Knowl. Based Syst., 2020

Direction-sensitive relation extraction using Bi-SDP attention model.

Hailin Wang, Ke Qin, Guoming Lu, Guangchun Luo, Guisong Liu

Knowl. Based Syst., 2020

Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network.

Guolin Sun, Daniel Ayepah-Mensah, Anton Budkevich, Guisong Liu, Wei Jiang

Knowl. Based Syst., 2020

Resource slicing and customization in RAN with dueling deep Q-Network.

Guolin Sun, Kun Xiong, Gordon Owusu Boateng, Guisong Liu, Wei Jiang

J. Netw. Comput. Appl., 2020

End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs.

Guolin Sun, Daniel Ayepah-Mensah, Rong Xu, Gordon Owusu Boateng, Guisong Liu

J. Netw. Comput. Appl., 2020

Revised reinforcement learning based on anchor graph hashing for autonomous cell activation in cloud-RANs.

Guolin Sun, Tong Zhan, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang

Future Gener. Comput. Syst., 2020

Attention-Based Interaction Trajectory Prediction.

Zhe Liu, Lizong Zhang, Zhihong Rao, Guisong Liu

Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2020, 2020

2019

The maximum points-based supervised learning rule for spiking neural networks.

Xiurui Xie, Guisong Liu, Qing Cai, Hong Qu, Malu Zhang

Soft Comput., 2019

Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network.

Guolin Sun, Kun Xiong, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang

IEEE Syst. J., 2019

Multi-source sequential knowledge regression by using transfer RNN units.

Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu

Neural Networks, 2019

Delay-aware content distribution via cell clustering and content placement for multiple tenants.

Guolin Sun, Daniel Ayepah-Mensah, Li Lu, Wei Jiang, Guisong Liu

J. Netw. Comput. Appl., 2019

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

Kun Xiong, Sebakara Samuel Rene Adolphe, Gordon Owusu Boateng, Guisong Liu, Guolin Sun

IEEE Access, 2019

Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs.

Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu

IEEE Access, 2019

Autonomous Cache Resource Slicing and Content Placement at Virtualized Mobile Edge Network.

Guolin Sun, Hisham Al-Ward, Gordon Owusu Boateng, Guisong Liu

IEEE Access, 2019

View-Invariant and Similarity Learning for Robust Person Re-Identification.

Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo

IEEE Access, 2019

Sparse Label Smoothing Regularization for Person Re-Identification.

Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo

IEEE Access, 2019

Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy.

Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018

Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification.

Luping Ji, Yan Ren, Guisong Liu, Xiaorong Pu

IEEE Trans. Cybern., 2018

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

Luping Ji, Yan Ren, Xiaorong Pu, Guisong Liu

Pattern Recognit., 2018

Self Attention Grid for Person Re-Identification.

Jean-Paul Ainam, Ke Qin, Guisong Liu

CoRR, 2018

Sparse Label Smoothing for Semi-supervised Person Re-Identification.

Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo

CoRR, 2018

2017

Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice.

Guolin Sun, Guohui Wang, Prince Clement Addo, Guisong Liu, Wei Jiang

KSII Trans. Internet Inf. Syst., 2017

Big Data Based Dynamic Flow Aggregation over 5G Network Slicing.

Guolin Sun, Bruce Mareri, Guisong Liu, Xiufen Fang, Wei Jiang

KSII Trans. Internet Inf. Syst., 2017

User Bandwidth Demand Centric Soft-Association Control in Wi-Fi Networks.

Guolin Sun, Sebakara Samuel Rene Adolphe, Hangming Zhang, Guisong Liu, Wei Jiang

KSII Trans. Internet Inf. Syst., 2017

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

Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang

Neurocomputing, 2017

2016

Reservation based Resource Management for SDN-based UE Cloud.

Guolin Sun, Dawit Kefyalew, Guisong Liu

KSII Trans. Internet Inf. Syst., 2016

MARS: Multiple Access Radio Scheduling for a Multi-homed Mobile Device in Soft-RAN.

Guolin Sun, Kongmaing Eng, Seng Yin, Guisong Liu, Geyong Min

KSII Trans. Internet Inf. Syst., 2016

Energy Efficient Cell Management by Flow Scheduling in Ultra Dense Networks.

Guolin Sun, Prince Clement Addo, Guohui Wang, Guisong Liu

KSII Trans. Internet Inf. Syst., 2016

User Demand Aware Soft-Association Control in Ultra-Dense Small Cell Networks.

Guolin Sun, Hangming Zhang, Guisong Liu

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Air-Interface Slice Based Dynamic Resource Reservation for Ultra-Low-Latency IoT Transmissions.

Guolin Sun, Guohui Wang, Guisong Liu

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Joint Resource Reservation and Flow Scheduling for Ultra-Low-Latency Transmission.

Guolin Sun, Dawit Kefyalew, Guisong Liu

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

2015

Computing k shortest paths from a source node to each other node.

Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji, Alexander Takacs

Soft Comput., 2015

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

Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji

Neurocomputing, 2015

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

Luping Ji, Xiaorong Pu, Hong Qu, Guisong Liu

Neurocomputing, 2015

2014

Extended monitoring with group localization in software defined hybrid Wi-Fi/zigbee networks: An initial prototype.

Guolin Sun, Feng Liu, Nengfeng Liu, Guisong Liu

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.

Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu

Proceedings of the Neural Information Processing - 21st International Conference, 2014

SDN architecture for cognitive radio networks.

Guolin Sun, Guisong Liu, Yi Wang

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.

Guolin Sun, Guisong Liu, Yao Li, Chuan Xiao

Proceedings of the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2013

2009

Study to Speech Emotion Recognition Based on TWINsSVM.

Chengfu Yang, Luping Ji, Guisong Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009

Modified PCNN Filtering for Fingerprint Enhancement.

Luping Ji, Xiaorong Pu, Guisong Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

Boosting the Hierarchical Hyperellipsoidal Neural Gas Networks.

Xiufen Fang, Guisong Liu, Tingzhu Huang

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

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

Guisong Liu, Zhang Yi, Shangming Yang

Neurocomputing, 2007

2006

Intrusion Detection Using PCASOM Neural Networks.

Guisong Liu, Zhang Yi

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006