Guisong Liu

发表

Medial Axis Extraction Using Growing Neural Gas

Yee Zhang, Guisong Liu, Xiufen Fang, 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

An Iterative Algorithm for Single-pair K Shortest Paths Computation

Guisong Liu, Zhao Qiu, Wenyu Chen, 2015 .

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

Guisong Liu, B. Mareri, Gordon Owusu Boateng, 2022, IEEE Wireless Communications Letters.

Bio-inspired Active Learning method in spiking neural network

Malu Zhang, Guisong Liu, Guolin Sun, 2022, Knowl. Based Syst..

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

Malu Zhang, Guisong Liu, Hong Qu, 2018, Soft Computing.

SNAF-based Interdependent E2E Network Resource Slicing Scheme for a Virtualized Network

Guisong Liu, Guolin Sun, Samuel Rene Adolphe Sebakara, 2022, 2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT).

Sparse Label Smoothing Regularization for Person Re-Identification

Guangchun Luo, Jean-Paul Ainam, Ke Qin, 2018, IEEE Access.

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

Guangchun Luo, Guisong Liu, Jean-Paul Ainam, 2018, ArXiv.

A chaotic encryption system using PCA neural networks

Bochuan Zheng, Xiao Fei, Guisong Liu, 2008, 2008 IEEE Conference on Cybernetics and Intelligent Systems.

A principal components analysis neural gas algorithm for anomalies clustering

Ting-Zhu Huang, Guisong Liu, Xiufen Fang, 2010 .

A hierarchical intrusion detection model based on the PCA neural networks

Zhang Yi, Guisong Liu, Shangming Yang, 2007, Neurocomputing.

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

Gordon Owusu Boateng, Guisong Liu, Guolin Sun, 2022, IEEE Transactions on Network and Service Management.

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

Malu Zhang, Qing Cai, Guisong Liu, 2018, Soft Computing.

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

Malu Zhang, Hong Qu, Guisong Liu, 2017, Neurocomputing.

An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks

Malu Zhang, Hong Qu, Jürgen Kurths, 2016, PloS one.

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

Guolin Sun, Kun Xiong, Gordon Owusu Boateng, 2019, IEEE Access.

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

Wei Jiang, Guolin Sun, Gordon Owusu Boateng, 2020, Future Gener. Comput. Syst..

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

Guisong Liu, Tewodros Ayall, Abegaz Mohammed Seid, 2022, IEEE Transactions on Vehicular Technology.

Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach

Guolin Sun, Gordon Owusu Boateng, Guisong Liu, 2021, IEEE Internet of Things Journal.

Detection of Microaneurysms in Fundus Images Based on an Attention Mechanism

Guisong Liu, Ying Li, Guiduo Duan, 2019, Genes.

Direction-sensitive relation extraction using Bi-SDP attention model

Guangchun Luo, Guisong Liu, Guoming Lu, 2020, Knowl. Based Syst..

Study to Speech Emotion Recognition Based on TWINsSVM

Guisong Liu, Luping Ji, Chengfu Yang, 2009, 2009 Fifth International Conference on Natural Computation.

Natural Image Matting Based on Surrogate Model

Guisong Liu, Fujian Feng, Yihui Liang, 2023, SSRN Electronic Journal.

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

Guisong Liu, Jean-Paul Ainam, Ke Qin, 2020, ACM Trans. Multim. Comput. Commun. Appl..

Big Data Based Dynamic Flow Aggregation over 5G Network Slicing

Wei Jiang, Guolin Sun, Guisong Liu, 2017, KSII Trans. Internet Inf. Syst..

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

Gordon Owusu Boateng, Guisong Liu, Ruijie Ou, 2023, IEEE Transactions on Mobile Computing.

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

Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, 2020, IEEE Systems Journal.

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

Hong Qu, Zhao Qiu, Guisong Liu, 2015, Soft Comput..

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

Yan Ren, Guisong Liu, Luping Ji, 2018, Pattern Recognit..

Attention Localness in Shared Encoder-Decoder Model For Text Summarization

Guisong Liu, Qiang Gao, Li Huang, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Wei Jiang, Kun Xiong, Guolin Sun, 2020, J. Netw. Comput. Appl..

Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning

Gordon Owusu Boateng, Guisong Liu, Wei Jiang, 2021, IEEE Internet of Things Journal.

Deep neural network-based relation extraction: an overview pdf

Guisong Liu, Guoming Lu, Ke Qin, 2021, Neural Computing and Applications.

SDN architecture for cognitive radio networks

Yi Wang, Guolin Sun, Guisong Liu, 2014, 2014 1st International Workshop on Cognitive Cellular Systems (CCS).

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

Guangchun Luo, Ke Qin, Yizhe Wu, 2023, Future Generation Computer Systems.

Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks

Hong Qu, Guisong Liu, Xiurui Xie, 2014, ICONIP.

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

Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, 2020, J. Netw. Comput. Appl..

Person Re-identification through Clustering and Partial Label Smoothing Regularization

Guangchun Luo, Guisong Liu, Jean-Paul Ainam, 2019, Proceedings of the 2nd International Conference on Software Engineering and Information Management.

Efficient dynamic domain adaptation on deep CNN

Qing Cai, Guisong Liu, Xiurui Xie, 2020, Multimedia Tools and Applications.

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

Guisong Liu, Xin Yang, Qiang Gao, 2022, Neurocomputing.

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

Gerald Tietaa Maale, Guisong Liu, T. Kwantwi, 2022, IEEE Wireless Communications Letters.

Micro SleepNet: efficient deep learning model for mobile terminal real-time sleep staging

Dechun Zhao, Guisong Liu, Jiansong Zhang, 2023, Frontiers in neuroscience.

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

Gordon Owusu Boateng, Guisong Liu, Ruijie Ou, 2023, J. Netw. Comput. Appl..

Software Defined Wireless Network Architecture for the Next Generation Mobile Communication: Proposal and Initial Prototype

Guolin Sun, Guisong Liu, Feng Liu, 2014 .

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

Wei Jiang, Guolin Sun, Kun Xiong, 2019, IEEE Systems Journal.

Defect detection of photovoltaic glass based on level set map

Guisong Liu, Chen Chen, Shuai Dong, 2022, Neural computing & applications (Print).

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

Qing Cai, Guisong Liu, Xiurui Xie, 2019, Neural Computing and Applications.

Self Attention Grid for Person Re-Identification pdf

Guisong Liu, Jean-Paul Ainam, Ke Qin, 2018, ArXiv.

Multi-source sequential knowledge regression by using transfer RNN units

Qing Cai, Guisong Liu, Pengfei Wei, 2019, Neural Networks.

Reservation based Resource Management for SDN-based UE Cloud

Guolin Sun, Guisong Liu, Dawit Kefyalew, 2016, KSII Trans. Internet Inf. Syst..

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

Hong Qu, Guisong Liu, Luping Ji, 2015, Neurocomputing.

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

Malu Zhang, Guisong Liu, Hong Qu, 2017, Neurocomputing.

Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships: Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships

Guisong Liu, Lizong Zhang, Yiying Liu, 2022, ICIIP.

Blockchain-Based Computing Resource Trading in Autonomous Multi-Access Edge Network Slicing: A Dueling Double Deep Q-Learning Approach

Guisong Liu, T. Kwantwi, Guolin Sun, 2023, IEEE Transactions on Network and Service Management.

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

Huajin Tang, Guisong Liu, Wenjie Deng, 2021, IEEE Transactions on Cybernetics.

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

Guolin Sun, Daniel Ayepah-Mensah, Guisong Liu, 2021, IEEE Systems Journal.

Regression ICA Algorithm for Image Denoising

Zhang Yi, Guisong Liu, Shangming Yang, 2008 .

Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification

Guisong Liu, Yan Ren, Luping Ji, 2018, IEEE Transactions on Cybernetics.

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

Guisong Liu, T. Kwantwi, Ruijie Ou, 2023, IEEE Transactions on Vehicular Technology.

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

Guangchun Luo, Guisong Liu, Jean-Paul Ainam, 2019, IEEE Access.

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

Wei Jiang, Guolin Sun, Daniel Ayepah-Mensah, 2020, Knowl. Based Syst..

Energy Efficient Cell Management by Flow Scheduling in Ultra Dense Networks

Guolin Sun, Guohui Wang, Guisong Liu, 2016, KSII Trans. Internet Inf. Syst..

Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs

Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, 2019, IEEE Access.

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

Geyong Min, Guolin Sun, Guisong Liu, 2016, KSII Trans. Internet Inf. Syst..

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

Gordon Owusu Boateng, Guisong Liu, Huang Chen, 2024, IEEE Transactions on Mobile Computing.

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

Gordon Owusu Boateng, Guisong Liu, 2023, ArXiv.

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

Malu Zhang, Guisong Liu, Xiurui Xie, 2022, International Journal of Machine Learning and Cybernetics.