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Journal Articles
- 2024
- [j64]Xiurui Xie, Jingxuan Feng, Guisong Liu, Qiugang Zhan, Zhetong Liu, Malu Zhang:
Federated learning for spiking neural networks by hint-layer knowledge distillation. Appl. Soft Comput. 163: 111901 (2024) - [j63]Hailin Wang, Dan Zhang, Guisong Liu, Li Huang, Ke Qin:
Enhancing relation extraction using multi-task learning with SDP evidence. Inf. Sci. 670: 120610 (2024) - [j62]Qiugang Zhan, Bingchao Wang, Anning Jiang, Xiurui Xie, Malu Zhang, Guisong Liu:
A two-stage spiking meta-learning method for few-shot classification. Knowl. Based Syst. 284: 111220 (2024) - [j61]Li Huang, Pei Li, Qiang Gao, Guisong Liu, Zhipeng Luo, Tianrui Li:
Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion. Neural Networks 179: 106538 (2024) - [j60]Qiugang Zhan, Guisong Liu, Xiurui Xie, Ran Tao, Malu Zhang, Huajin Tang:
Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. IEEE Trans. Image Process. 33: 4274-4287 (2024) - [j59]Guolin Sun, Gordon Owusu Boateng, Liyuan Luo, Huan Chen, Daniel Ayepah-Mensah, Guisong Liu:
Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach. IEEE Trans. Mob. Comput. 23(5): 3830-3845 (2024) - [j58]Xiurui Xie, Bei Yu, Guisong Liu, Qiugang Zhan, Huajin Tang:
Effective Active Learning Method for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12373-12382 (2024) - [j57]Daniel Ayepah-Mensah, Guolin Sun, Gordon Owusu Boateng, Stephen Anokye, Guisong Liu:
Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G. IEEE/ACM Trans. Netw. 32(1): 654-669 (2024) - [j56]Guolin Sun, Gordon Owusu Boateng, Kai Liu, Daniel Ayepah-Mensah, Guisong Liu:
Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 73(8): 12010-12025 (2024) - 2023
- [j55]Yihui Liang, Hongshan Gou, Fujian Feng, Guisong Liu, Han Huang:
Natural image matting based on surrogate model. Appl. Soft Comput. 143: 110407 (2023) - [j54]Guolin Sun, Daniel Ayepah-Mensah, Gordon Owusu Boateng, Noble Arden Elorm Kuadey, Mohamed Basher Omer, Guisong Liu:
Holistic Roadmap of Trends in Radio Access Network Slicing: A Survey. IEEE Commun. Mag. 61(12): 118-124 (2023) - [j53]Xiurui Xie, Maojun Tian, Guangchun Luo, Guisong Liu, Yizhe Wu, Ke Qin:
Active learning in multi-label image classification with graph convolutional network embedding. Future Gener. Comput. Syst. 148: 56-65 (2023) - [j52]Qiang Gao, Fan Zhou, Xin Yang, Guisong Liu:
When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility. Neurocomputing 518: 174-189 (2023) - [j51]Ruijie Ou, Guolin Sun, Daniel Ayepah-Mensah, Gordon Owusu Boateng, Guisong Liu:
Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach. IEEE Internet Things J. 10(22): 20174-20187 (2023) - [j50]Ruijie Ou, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guolin Sun, Guisong Liu:
Stackelberg game-based dynamic resource trading for network slicing in 5G networks. J. Netw. Comput. Appl. 214: 103600 (2023) - [j49]Qiugang Zhan, Guisong Liu, Xiurui Xie, Malu Zhang, Guolin Sun:
Bio-inspired Active Learning method in spiking neural network. Knowl. Based Syst. 261: 110193 (2023) - [j48]Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang:
Human-Level Control Through Directly Trained Deep Spiking Q-Networks. IEEE Trans. Cybern. 53(11): 7187-7198 (2023) - [j47]Gordon Owusu Boateng, Guolin Sun, Daniel Ayepah-Mensah, Daniel Mawunyo Doe, Ruijie Ou, Guisong Liu:
Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Mob. Comput. 22(10): 5801-5815 (2023) - [j46]Thomas Kwantwi, Guolin Sun, Noble Arden Elorm Kuadey, Gerald Tietaa Maale, Guisong Liu:
Blockchain-Based Computing Resource Trading in Autonomous Multi-Access Edge Network Slicing: A Dueling Double Deep Q-Learning Approach. IEEE Trans. Netw. Serv. Manag. 20(3): 2912-2928 (2023) - [j45]Sebakara Samuel Rene Adolphe, Guolin Sun, Gordon Owusu Boateng, Bruce Mareri, Ruijie Ou, Guisong Liu:
SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network. IEEE Trans. Veh. Technol. 72(7): 9069-9084 (2023) - [j44]Gerald Tietaa Maale, Guolin Sun, Noble Arden Elorm Kuadey, Thomas Kwantwi, Ruijie Ou, Guisong Liu:
DeepFESL: Deep Federated Echo State Learning-Based Proactive Content Caching in UAV-Assisted Networks. IEEE Trans. Veh. Technol. 72(9): 12208-12220 (2023) - 2022
- [j43]Guolin Sun, Kai Liu, Gordon Owusu Boateng, Guisong Liu, Wei Jiang:
Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning. IEEE Internet Things J. 9(5): 3574-3585 (2022) - [j42]Xiurui Xie, Qing Cai, Hongjie Zhang, Malu Zhang, Zeheng Yang, Guisong Liu:
When to transfer: a dynamic domain adaptation method for effective knowledge transfer. Int. J. Mach. Learn. Cybern. 13(11): 3491-3508 (2022) - [j41]Eldad Antwi-Bekoe, Guisong Liu, Jean-Paul Ainam, Guolin Sun, Xiurui Xie:
A deep learning approach for insulator instance segmentation and defect detection. Neural Comput. Appl. 34(9): 7253-7269 (2022) - [j40]Shuai Dong, Chen Chen, Yihui Liang, Kun Zou, Guisong Liu:
Defect detection of photovoltaic glass based on level set map. Neural Comput. Appl. 34(13): 10691-10705 (2022) - [j39]Guolin Sun, Daniel Ayepah-Mensah, Rong Xu, Victor Kwaku Agbesi, Guisong Liu, Wei Jiang:
Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward. IEEE Syst. J. 16(1): 1044-1055 (2022) - [j38]Qiugang Zhan, Guisong Liu, Xiurui Xie, Guolin Sun, Huajin Tang:
Effective Transfer Learning Algorithm in Spiking Neural Networks. IEEE Trans. Cybern. 52(12): 13323-13335 (2022) - [j37]Gordon Owusu Boateng, Daniel Ayepah-Mensah, Daniel Mawunyo Doe, Abegaz Mohammed Seid, Guolin Sun, Guisong Liu:
Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G. IEEE Trans. Netw. Serv. Manag. 19(1): 216-227 (2022) - [j36]Hayla Nahom Abishu, Abegaz Mohammed Seid, Yasin Habtamu Yacob, Tewodros Ayall, Guolin Sun, Guisong Liu:
Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles. IEEE Trans. Veh. Technol. 71(1): 946-960 (2022) - [j35]Noble Arden Elorm Kuadey, Gerald Tietaa Maale, Thomas Kwantwi, Guolin Sun, Guisong Liu:
DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing - Deep Learning Approach. IEEE Wirel. Commun. Lett. 11(3): 488-492 (2022) - [j34]Bruce Mareri, Gordon Owusu Boateng, Ruijie Ou, Guolin Sun, Yu Pang, Guisong Liu:
MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing. IEEE Wirel. Commun. Lett. 11(9): 1905-1909 (2022) - 2021
- [j33]Abegaz Mohammed Seid, Gordon Owusu Boateng, Stephen Anokye, Thomas Kwantwi, Guolin Sun, Guisong Liu:
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 8(15): 12203-12218 (2021) - 2020
- [j32]Guolin Sun, Tong Zhan, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang:
Revised reinforcement learning based on anchor graph hashing for autonomous cell activation in cloud-RANs. Future Gener. Comput. Syst. 104: 60-73 (2020) - [j31]Guolin Sun, Kun Xiong, Gordon Owusu Boateng, Guisong Liu, Wei Jiang:
Resource slicing and customization in RAN with dueling deep Q-Network. J. Netw. Comput. Appl. 157: 102573 (2020) - [j30]Guolin Sun, Daniel Ayepah-Mensah, Rong Xu, Gordon Owusu Boateng, Guisong Liu:
End-to-end CNN-based dueling deep Q-Network for autonomous cell activation in Cloud-RANs. J. Netw. Comput. Appl. 169: 102757 (2020) - [j29]Guolin Sun, Daniel Ayepah-Mensah, Anton Budkevich, Guisong Liu, Wei Jiang:
Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network. Knowl. Based Syst. 192: 105347 (2020) - [j28]Xiurui Xie, Guisong Liu, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu:
An end-to-end functional spiking model for sequential feature learning. Knowl. Based Syst. 195: 105643 (2020) - [j27]Hailin Wang, Ke Qin, Guoming Lu, Guangchun Luo, Guisong Liu:
Direction-sensitive relation extraction using Bi-SDP attention model. Knowl. Based Syst. 198: 105928 (2020) - [j26]Zeheng Yang, Guisong Liu, Xiurui Xie, Qing Cai:
Efficient dynamic domain adaptation on deep CNN. Multim. Tools Appl. 79(45-46): 33853-33873 (2020) - [j25]Zeheng Yang, Xiurui Xie, Qiugang Zhan, Guisong Liu, Qing Cai, Xu Zheng:
A neural-network-based framework for cigarette laser code identification. Neural Comput. Appl. 32(15): 11597-11606 (2020) - [j24]Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang:
Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning. IEEE Syst. J. 14(4): 4694-4705 (2020) - [j23]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo, Brighter Agyemang:
Enforcing Affinity Feature Learning through Self-attention for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 16(1): 16:1-16:22 (2020) - 2019
- [j22]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
Sparse Label Smoothing Regularization for Person Re-Identification. IEEE Access 7: 27899-27910 (2019) - [j21]Guolin Sun, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu:
Relational Reinforcement Learning Based Autonomous Cell Activation in Cloud-RANs. IEEE Access 7: 63588-63604 (2019) - [j20]Guolin Sun, Hisham Al-Ward, Gordon Owusu Boateng, Guisong Liu:
Autonomous Cache Resource Slicing and Content Placement at Virtualized Mobile Edge Network. IEEE Access 7: 84727-84743 (2019) - [j19]Kun Xiong, Sebakara Samuel Rene Adolphe, Gordon Owusu Boateng, Guisong Liu, Guolin Sun:
Dynamic Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network. IEEE Access 7: 115440-115453 (2019) - [j18]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
View-Invariant and Similarity Learning for Robust Person Re-Identification. IEEE Access 7: 185486-185495 (2019) - [j17]Guolin Sun, Daniel Ayepah-Mensah, Li Lu, Wei Jiang, Guisong Liu:
Delay-aware content distribution via cell clustering and content placement for multiple tenants. J. Netw. Comput. Appl. 137: 112-126 (2019) - [j16]Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu:
Multi-source sequential knowledge regression by using transfer RNN units. Neural Networks 119: 151-161 (2019) - [j15]Guolin Sun, Kun Xiong, Gordon Owusu Boateng, Daniel Ayepah-Mensah, Guisong Liu, Wei Jiang:
Autonomous Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network. IEEE Syst. J. 13(3): 2454-2465 (2019) - [j14]Xiurui Xie, Guisong Liu, Qing Cai, Hong Qu, Malu Zhang:
The maximum points-based supervised learning rule for spiking neural networks. Soft Comput. 23(20): 10187-10198 (2019) - 2018
- [j13]Luping Ji, Yan Ren, Xiaorong Pu, Guisong Liu:
Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification. Pattern Recognit. 79: 387-401 (2018) - [j12]Luping Ji, Yan Ren, Guisong Liu, Xiaorong Pu:
Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification. IEEE Trans. Cybern. 48(9): 2683-2696 (2018) - 2017
- [j11]Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang:
Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. Neurocomputing 241: 152-163 (2017) - [j10]Guolin Sun, Sebakara Samuel Rene Adolphe, Hangming Zhang, Guisong Liu, Wei Jiang:
User Bandwidth Demand Centric Soft-Association Control in Wi-Fi Networks. KSII Trans. Internet Inf. Syst. 11(2): 709-730 (2017) - [j9]Guolin Sun, Guohui Wang, Prince Clement Addo, Guisong Liu, Wei Jiang:
Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice. KSII Trans. Internet Inf. Syst. 11(7): 3309-3328 (2017) - [j8]Guolin Sun, Bruce Mareri, Guisong Liu, Xiufen Fang, Wei Jiang:
Big Data Based Dynamic Flow Aggregation over 5G Network Slicing. KSII Trans. Internet Inf. Syst. 11(10): 4717-4737 (2017) - 2016
- [j7]Guolin Sun, Kongmaing Eng, Seng Yin, Guisong Liu, Geyong Min:
MARS: Multiple Access Radio Scheduling for a Multi-homed Mobile Device in Soft-RAN. KSII Trans. Internet Inf. Syst. 10(1): 79-95 (2016) - [j6]Guolin Sun, Prince Clement Addo, Guohui Wang, Guisong Liu:
Energy Efficient Cell Management by Flow Scheduling in Ultra Dense Networks. KSII Trans. Internet Inf. Syst. 10(9): 4108-4122 (2016) - [j5]Guolin Sun, Dawit Kefyalew, Guisong Liu:
Reservation based Resource Management for SDN-based UE Cloud. KSII Trans. Internet Inf. Syst. 10(12): 5174-5190 (2016) - 2015
- [j4]Luping Ji, Xiaorong Pu, Hong Qu, Guisong Liu:
One-dimensional pairwise CNN for the global alignment of two DNA sequences. Neurocomputing 149: 505-514 (2015) - [j3]Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji:
Computing k shortest paths using modified pulse-coupled neural network. Neurocomputing 149: 1162-1176 (2015) - [j2]Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji, Alexander Takacs:
Computing k shortest paths from a source node to each other node. Soft Comput. 19(8): 2391-2402 (2015) - 2007
- [j1]Guisong Liu, Zhang Yi, Shangming Yang:
A hierarchical intrusion detection model based on the PCA neural networks. Neurocomputing 70(7-9): 1561-1568 (2007)
Conference and Workshop Papers
- 2023
- [c18]Li Huang, Hongmei Wu, Qiang Gao, Guisong Liu:
Attention Localness in Shared Encoder-Decoder Model For Text Summarization. ICASSP 2023: 1-5 - [c17]Li Huang, Kai Liu, Chaoran Liu, Qiang Gao, Xiao Zhou, Guisong Liu:
HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning. KSEM (2) 2023: 249-262 - [c16]Qiang Gao, Hongzhu Fu, Yutao Wei, Li Huang, Xingmin Liu, Guisong Liu:
Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction. KSEM (2) 2023: 263-275 - 2022
- [c15]Minghui Zhang, Lizong Zhang, Yiying Liu, Xiujian Zhang, Guisong Liu:
Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships: Zero-shot Hand-held Objects Recognition Based on Global Feature Relationships. ICIIP 2022: 1:1-1:5 - [c14]Lizong Zhang, Yutao Jiang, Bei Hui, Zhe Liu, Guisong Liu:
An Enhanced Representation Method for Pedestrian Trajectory Prediction based on Adaptive GCN. IPCCC 2022: 233-239 - 2020
- [c13]Zhe Liu, Lizong Zhang, Zhihong Rao, Guisong Liu:
Attention-Based Interaction Trajectory Prediction. AIMS 2020: 168-175 - 2019
- [c12]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy. ICMLC 2019: 380-385 - 2016
- [c11]Guolin Sun, Dawit Kefyalew, Guisong Liu:
Joint Resource Reservation and Flow Scheduling for Ultra-Low-Latency Transmission. LCN 2016: 208-211 - [c10]Guolin Sun, Guohui Wang, Guisong Liu:
Air-Interface Slice Based Dynamic Resource Reservation for Ultra-Low-Latency IoT Transmissions. LCN 2016: 603-606 - [c9]Guolin Sun, Hangming Zhang, Guisong Liu:
User Demand Aware Soft-Association Control in Ultra-Dense Small Cell Networks. LCN 2016: 651-654 - 2014
- [c8]Guolin Sun, Guisong Liu, Yi Wang:
SDN architecture for cognitive radio networks. CCS 2014: 1-5 - [c7]Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu:
Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. ICONIP (1) 2014: 366-373 - [c6]Guolin Sun, Feng Liu, Nengfeng Liu, Guisong Liu:
Extended monitoring with group localization in software defined hybrid Wi-Fi/zigbee networks: An initial prototype. WPMC 2014: 457-461 - 2013
- [c5]Guolin Sun, Guisong Liu, Yao Li, Chuan Xiao:
Context-Aware Optimization on Medium Access Delay for High-Density 802.11n Wi-Fi Network. CyberC 2013: 461-464 - 2009
- [c4]Chengfu Yang, Luping Ji, Guisong Liu:
Study to Speech Emotion Recognition Based on TWINsSVM. ICNC (2) 2009: 312-316 - [c3]Luping Ji, Xiaorong Pu, Guisong Liu:
Modified PCNN Filtering for Fingerprint Enhancement. ICNC (2) 2009: 404-408 - 2008
- [c2]Xiufen Fang, Guisong Liu, Tingzhu Huang:
Boosting the Hierarchical Hyperellipsoidal Neural Gas Networks. ICNC (3) 2008: 126-130 - 2006
- [c1]Guisong Liu, Zhang Yi:
Intrusion Detection Using PCASOM Neural Networks. ISNN (2) 2006: 240-245
Informal and Other Publications
- 2024
- [i7]Qiugang Zhan, Jinbo Cao, Xiurui Xie, Malu Zhang, Huajin Tang, Guisong Liu:
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. CoRR abs/2406.12200 (2024) - 2023
- [i6]Gordon Owusu Boateng, Guisong Liu:
Cooperative Resource Trading for Network Slicing in Industrial IoT: A Multi-Agent DRL Approach. CoRR abs/2308.13793 (2023) - [i5]Qiugang Zhan, Xiurui Xie, Guisong Liu, Malu Zhang:
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling. CoRR abs/2310.14839 (2023) - 2022
- [i4]Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang:
Human-Level Control through Directly-Trained Deep Spiking Q-Networks. CoRR abs/2201.07211 (2022) - 2021
- [i3]Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu:
Deep Neural Network Based Relation Extraction: An Overview. CoRR abs/2101.01907 (2021) - 2018
- [i2]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
Sparse Label Smoothing for Semi-supervised Person Re-Identification. CoRR abs/1809.04976 (2018) - [i1]Jean-Paul Ainam, Ke Qin, Guisong Liu:
Self Attention Grid for Person Re-Identification. CoRR abs/1809.08556 (2018)
Coauthor Index
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