The Intelligent Reconfigurable Measuring Node Based on Wireless Access Network. - Liming Wu; Junxiu Liu; Ji Zhang; Yuling Luo (CIS (1), 2009)

Topological optimization of pedestal based on variable density method. - Junxiu Liu; Zongquan Deng; Honghao Yue (EMEIT, 2011)

Online fault detection for Networks-on-Chip interconnect. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (AHS, 2014)

Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire; Alejandro Linares-Barranco (MCSoC, 2014)

Hardware Implementation of Cryptographic Hash Function Based on Spatiotemporal Chaos. - Yuling Luo; Junxiu Liu; Lvchen Cao; Jinjie Bi; Senhui Qiu (SecureComm (1), 2014)

Online traffic-aware fault detection for networks-on-chip. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (J. Parallel Distributed Comput., 2014)

Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Yuhua Li 001; Lei Wan; Yuling Luo (ICA3PP (4), 2015)

Case study: Bio-inspired self-adaptive strategy for spike-based PID controller. - Junxiu Liu; Jim Harkin; Malachy McElholm; Liam McDaid; Angel Jiménez-Fernandez; Alejandro Linares-Barranco (ISCAS, 2015)

A symmetrical image encryption scheme in wavelet and time domain. - Yuling Luo; Minghui Du; Junxiu Liu (Commun. Nonlinear Sci. Numer. Simul., 2015)

Low cost fault-tolerant routing algorithm for Networks-on-Chip. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (Microprocess. Microsystems, 2015)

Self-correcting strategy for networks-on-chip interconnect. - Junxiu Liu (2015)

Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware. - Junxiu Liu; Jim Harkin; Liam McDaid; George Martin (ICANN (1), 2016)

Self-repairing mobile robotic car using astrocyte-neuron networks. - Junxiu Liu; Jim Harkin; Liam McDaid; David M. Halliday; Andy M. Tyrrell; Jon Timmis (IJCNN, 2016)

Self-repairing hardware with astrocyte-neuron networks. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Liam McDaid; John J. Wade; Malachy McElholm (ISCAS, 2016)

Short-Term Electrical Load Forecasting Based on Fuzzy Logic Control and Improved Back Propagation Algorithm. - Lei Wan; Junxiu Liu; Senhui Qiu; Mingcan Cen; Yuling Luo (SmartGIFT, 2016)

An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network. - Anju P. Johnson; David M. Halliday; Alan G. Millard; Andy M. Tyrrell; Jon Timmis; Junxiu Liu; Jim Harkin; Liam McDaid; Shvan Karim (SSCI, 2016)

Astrocyte to spiking neuron communication using Networks-on-Chip ring topology. - George Martin; Jim Harkin; Liam McDaid; John J. Wade; Junxiu Liu; Fearghal Morgan (SSCI, 2016)

Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Liam McDaid; John J. Wade; George Martin (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (FPT, 2017)

A chaos-based self-adapting RGB image permutation scheme. - Yuling Luo; Ronglong Zhou; Lvchen Cao; Junxiu Liu; Jinjie Bi; Yi Cao 001; Senhui Qiu (ICNC-FSKD, 2017)

An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping. - Junxiu Liu; Xingyue Huang; Yuling Luo; Yi Cao 001 (ICONIP (3), 2017)

Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks. - Junxiu Liu; Liam McDaid; Jim Harkin; John J. Wade; Shvan Karim; Anju P. Johnson; Alan G. Millard; David M. Halliday; Andy M. Tyrrell; Jon Timmis (ICONIP (6), 2017)

An Efficient Hardware Architecture for Multilayer Spiking Neural Networks. - Yuling Luo; Lei Wan; Junxiu Liu; Jinlei Zhang; Yi Cao 001 (ICONIP (6), 2017)

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; Anju P. Johnson (ISVLSI, 2017)

An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes. - Yuling Luo; Qiang Fu 019; Junxiu Liu; Jim Harkin; Liam McDaid; Yi Cao 001 (IWANN (1), 2017)

Data analytics enhanced component volatility model. - Yuan Yao; Jia Zhai; Yi Cao 001; Xuemei Ding; Junxiu Liu; Yuling Luo (Expert Syst. Appl., 2017)

Counteracting Dynamical Degradation of Digital Chaotic Chebyshev Map via Perturbation. - Yunqi Liu; Yuling Luo; Shuxiang Song 001; Lvchen Cao; Junxiu Liu; Jim Harkin (Int. J. Bifurc. Chaos, 2017)

Layered tile architecture for efficient hardware spiking neural networks. - Lei Wan; Junxiu Liu; Jim Harkin; Liam McDaid; Yuling Luo (Microprocess. Microsystems, 2017)

Forest fire detection using spiking neural networks. - Yuling Luo; Qian Lu; Junxiu Liu; Qiang Fu 019; Jim Harkin; Liam McDaid; Jordi Martínez-Corral; Guillermo Biot-Marí (CF, 2018)

Financial Data Forecasting Using Optimized Echo State Network. - Junxiu Liu; Tiening Sun; Yuling Luo; Qiang Fu 019; Yi Cao 001; Jia Zhai; Xuemei Ding (ICONIP (5), 2018)

FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; Anju P. Johnson (ISCAS, 2018)

Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule. - Yuling Luo; Qiang Fu 019; Junxiu Liu; Yongchuang Huang; Xuemei Ding; Yi Cao 001 (PRICAI, 2018)

Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (SSCI, 2018)

Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs. - Malachy McElholm; Jim Harkin; Junxiu Liu; Liam McDaid (SSCI, 2018)

Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (VLSID, 2018)

A Double-Image Encryption Scheme Based on Amplitude-Phase Encoding and Discrete Complex Random Transformation. - Yuling Luo; Shunbin Tang; Xingsheng Qin; Lvchen Cao; Frank Jiang 001; Junxiu Liu (IEEE Access, 2018)

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. - Shuo Liu; Jinshu Zeng; Huizhou Gong; Hongqin Yang; Jia Zhai; Yi Cao 001; Junxiu Liu; Yuling Luo; Yuhua Li 001; Liam P. Maguire; Xuemei Ding (Comput. Biol. Medicine, 2018)

A paired neural network model for tourist arrival forecasting. - Yuan Yao; Yi Cao 001; Xuemei Ding; Jia Zhai; Junxiu Liu; Yuling Luo; Shuai Ma; Kailin Zou (Expert Syst. Appl., 2018)

On-chip communication for neuro-glia networks. - George Martin; Jim Harkin; L. J. McDaid; John J. Wade; Junxiu Liu (IET Comput. Digit. Tech., 2018)

Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective. - Yuling Luo; Dezheng Zhang; Junxiu Liu; Yunqi Liu; Yi Cao 001; Xuemei Ding (Int. J. Bifurc. Chaos, 2018)

An efficient and self-adapting colour-image encryption algorithm based on chaos and interactions among multiple layers. - Yuling Luo; Ronglong Zhou; Junxiu Liu; Senhui Qiu; Yi Cao 001 (Multim. Tools Appl., 2018)

An Efficient, Low-Cost Routing Architecture for Spiking Neural Network Hardware Implementations. - Yuling Luo; Lei Wan; Junxiu Liu; Jim Harkin; Yi Cao 001 (Neural Process. Lett., 2018)

Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Liam McDaid; John J. Wade (IEEE Trans. Neural Networks Learn. Syst., 2018)

Hash Hardware Generator Based on Mutual Perturbed Logistic Map. - Yuling Luo; Shuming Han; Junxiu Liu; Zhewei Liang; Su Yang 002 (HPCC/SmartCity/DSS, 2019)

A Colour Image Encryption Using Genetic Operators and Generalized Henon Chaotic Mapping. - Yuling Luo; Xue Ouyang; Junxiu Liu; Lvchen Cao (HPCC/SmartCity/DSS, 2019)

A Block Cryptographic Algorithm for Wireless Sensor Networks Based on Hybrid Chaotic Map. - Yuling Luo; Lieyang Yao; Junxiu Liu; Dezheng Zhang; Lvchen Cao (HPCC/SmartCity/DSS, 2019)

Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm. - Junxiu Liu; Xingyue Huang; Yongchuang Huang; Yuling Luo; Su Yang 002 (ICANN (1), 2019)

Human Body Posture Recognition Using Wearable Devices. - Junxiu Liu; Mingxing Li; Yuling Luo; Su Yang 002; Senhui Qiu (ICANN (Workshop), 2019)

Autonomous Learning Paradigm for Spiking Neural Networks. - Junxiu Liu; Liam McDaid; Jim Harkin; Shvan Karim; Anju P. Johnson; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; James A. Hilder (ICANN (1), 2019)

Hardware Tripartite Synapse Architecture based on Stochastic Computing. - Junxiu Liu; Zhewei Liang; Yuling Luo; Jiadong Huang; Su Yang 002 (TASE, 2019)

An Optimized Image Watermarking Method Based on HD and SVD in DWT Domain. - Junxiu Liu; Jiadong Huang; Yuling Luo; Lvchen Cao; Su Yang 002; Duqu Wei; Ronglong Zhou (IEEE Access, 2019)

Mass Spectral Substance Detections Using Long Short-Term Memory Networks. - Junxiu Liu; Jinlei Zhang; Yuling Luo; Su Yang 002; Jinling Wang 003; Qiang Fu 019 (IEEE Access, 2019)

An Image Encryption Method Based on Elliptic Curve Elgamal Encryption and Chaotic Systems. - Yuling Luo; Xue Ouyang; Junxiu Liu; Lvchen Cao (IEEE Access, 2019)

ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks. - Yuling Luo; Yunqi Liu; Junxiu Liu; Xue Ouyang; Yi Cao 001; Xuemei Ding (Int. J. Bifurc. Chaos, 2019)

A Chaotic Block Cryptographic System Resistant to Power Analysis Attack. - Yuling Luo; Dezheng Zhang; Junxiu Liu (Int. J. Bifurc. Chaos, 2019)

Bio-inspired fault detection circuits based on synapse and spiking neuron models. - Junxiu Liu; Yongchuang Huang; Yuling Luo; Jim Harkin; Liam McDaid (Neurocomputing, 2019)

A robust image encryption algorithm based on Chua's circuit and compressive sensing. - Yuling Luo; Jia Lin; Junxiu Liu; Duqu Wei; Lvchen Cao; Ronglong Zhou; Yi Cao 001; Xuemei Ding (Signal Process., 2019)

Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network. - Junxiu Liu; Liam McDaid; Jim Harkin; Shvan Karim; Anju P. Johnson; Alan G. Millard; James A. Hilder; David M. Halliday; Andy M. Tyrrell; Jon Timmis (IEEE Trans. Neural Networks Learn. Syst., 2019)

An Energy-aware Spiking Neural Network Hardware Mapping based on Particle Swarm Optimization and Genetic Algorithm. - Junxiu Liu; Xingyue Huang; Dong Jiang; Yuling Luo (CODES+ISSS, 2020)

AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu (DATE, 2020)

Multi-Ring on-Chip Interconnected Architecture for Spiking Neural Network Hardware Implementations. - Junxiu Liu; Dong Jiang; Yuling Luo; Senhui Qiu (HPCC/DSS/SmartCity, 2020)

Automatic Segmentation and Diagnosis of Intervertebral Discs Based on Deep Neural Networks. - Xiuhao Liang; Junxiu Liu; Yuling Luo; Guopei Wu; Shunsheng Zhang; Senhui Qiu (ICONIP (4), 2020)

Sensor Drift Compensation Using Robust Classification Method. - Guopei Wu; Junxiu Liu; Yuling Luo; Senhui Qiu (ICONIP (3), 2020)

Exploring Spiking Neural Networks for Prediction of Traffic Congestion in Networks-on-Chip. - Aqib Javed; Jim Harkin; Liam McDaid; Junxiu Liu (ISCAS, 2020)

A Robust Watermarking Scheme with High Security and Low Computational Complexity. - Liangjia Li; Yuling Luo; Junxiu Liu; Senhui Qiu; Lanhang Li (SecureComm (2), 2020)

Cryptanalysis of a Chaos-based Block Cryptosystem Using Multiple Samples Correlation Power Analysis. - Shunsheng Zhang; Yuling Luo; Lvchen Cao; Junxiu Liu (TrustCom, 2020)

Dynamic Energy Trading and Load Scheduling Algorithm for the End-User in Smart Grid. - Didi Liu; Jiawen Xiao; Junxiu Liu; Xiaoming Yuan 002; Suping Zhang (IEEE Access, 2020)

EEG-Based Emotion Classification Using Spiking Neural Networks. - Yuling Luo; Qiang Fu 019; Juntao Xie; Yunbai Qin; Guopei Wu; Junxiu Liu; Frank Jiang 001; Yi Cao 001; Xuemei Ding (IEEE Access, 2020)

Sentiment Classification for Chinese Text Based on Interactive Multitask Learning. - Han Zhang 015; Shaoqi Sun; Yongjin Hu; Junxiu Liu; Yuanbo Guo (IEEE Access, 2020)

Latent state recognition by an enhanced hidden Markov model. - Yuan Yao; Yi Cao 001; Jia Zhai; Junxiu Liu; Mengyuan Xiang; Lu Wang (Expert Syst. Appl., 2020)

Cryptanalysis of a Chaotic Block Cryptographic System Against Template Attacks. - Yuling Luo; Shunsheng Zhang; Junxiu Liu; Lvchen Cao (Int. J. Bifurc. Chaos, 2020)

An echo state network architecture based on quantum logic gate and its optimization. - Junxiu Liu; Tiening Sun; Yuling Luo; Su Yang 002; Yi Cao 001; Jia Zhai (Neurocomputing, 2020)

Echo state network optimization using binary grey wolf algorithm. - Junxiu Liu; Tiening Sun; Yuling Luo; Su Yang 002; Yi Cao 001; Jia Zhai (Neurocomputing, 2020)

Case Study - Spiking Neural Network Hardware System for Structural Health Monitoring. - Lili Pang 002; Junxiu Liu; Jim Harkin; George Martin; Malachy McElholm; Aqib Javed; Liam McDaid (Sensors, 2020)

Scaling Up The SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption Across Counties in Georgia: An Agent-Based Model. - Donglan Zhang; Janani J. Thapa; Gang Li; Heejung Son; Zhuo Chen; Lan Mu; Yan Li 017; Junxiu Liu; José A. Pagán; Philippe J. Giabbanelli (ANNSIM, 2021)

High Speed True Random Number Generator Controlled by Logistic Map. - Yuling Luo; Shuming Han; Shunsheng Zhang; Yanhu Wang; Junxiu Liu (HPCC/DSS/SmartCity/DependSys, 2021)

Spiking Neural Network-based Structural Health Monitoring Hardware System. - Aqib Javed; Jim Harkin; Liam McDaid; Junxiu Liu (SSCI, 2021)

Alzheimer's disease detection using depthwise separable convolutional neural networks. - Junxiu Liu; Mingxing Li; Yuling Luo; Su Yang 002; Wei Li 055; Yifei Bi (Comput. Methods Programs Biomed., 2021)

Spiking neural network-based multi-task autonomous learning for mobile robots. - Junxiu Liu; Hao Lu 017; Yuling Luo; Su Yang 002 (Eng. Appl. Artif. Intell., 2021)

A multi-scale image watermarking based on integer wavelet transform and singular value decomposition. - Yuling Luo; Liangjia Li; Junxiu Liu; Shunbin Tang; Lvchen Cao; Shunsheng Zhang; Senhui Qiu; Yi Cao 001 (Expert Syst. Appl., 2021)

An memristor-based synapse implementation using BCM learning rule. - Yongchuang Huang; Junxiu Liu; Jim Harkin; Liam McDaid; Yuling Luo (Neurocomputing, 2021)

An autonomous learning mobile robot using biological reward modulate STDP. - Hao Lu 017; Junxiu Liu; Yuling Luo; Yifan Hua; Senhui Qiu; Yongchuang Huang (Neurocomputing, 2021)

Counteracting dynamical degradation of a class of digital chaotic systems via Unscented Kalman Filter and perturbation. - Yuling Luo; Yunqi Liu; Junxiu Liu; Shunbin Tang; Jim Harkin; Yi Cao 001 (Inf. Sci., 2021)

Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks. - Aqib Javed; Jim Harkin; Liam McDaid; Junxiu Liu (J. Parallel Distributed Comput., 2021)

Zero-shot fine-grained entity typing in information security based on ontology. - Han Zhang 015; Jiaxian Zhu; Jicheng Chen; Junxiu Liu; Lixia Ji 001 (Knowl. Based Syst., 2021)

Minimally buffered deflection router for spiking neural network hardware implementations. - Junxiu Liu; Dong Jiang; Yuling Luo; Senhui Qiu; Yongchuang Huang (Neural Comput. Appl., 2021)

Mathematical modelling of human P2X-mediated plasma membrane electrophysiology and calcium dynamics in microglia. - Alireza Poshtkohi; John J. Wade; Liam McDaid; Junxiu Liu; Mark Dallas; Angela Bithell (PLoS Comput. Biol., 2021)

De-redundancy in a random boolean network using knockout. - Junxiu Liu; Jufang Dai; Min Su; Shunsheng Zhang; Yifan Hua; Yanhu Wang; Haiping Shu (GECCO Companion, 2022)

Efficient PCA-based image compression via secure outsourcing edge cloud. - Yuling Luo; Shiqi Zhang; Shunsheng Zhang; Junxiu Liu; Ce Liang; Su Yang 002 (HPCC/DSS/SmartCity/DependSys, 2022)

Efficient-Secure k-means Clustering Guaranteeing Personalized Local Differential Privacy. - Yuling Luo; Zhangrui Wang; Shunsheng Zhang; Junxiu Liu (ICA3PP, 2022)

Covid-19 Diagnosis via Voice Using Online Sequential Extreme Learning Machine. - Ling Xiong; Junxiu Liu; Min Su; Shunsheng Zhang; Guopei Wu; Haiping Shu; Bingxiong Jiang (IJCNN, 2022)

COVER: A Secure Blind Image Watermarking Scheme. - Yuling Luo; Fangxiao Wang 003; Junxiu Liu; Liangjia Li; Su Yang 002; Shunsheng Zhang (Circuits Syst. Signal Process., 2022)

Federated learning-based vertebral body segmentation. - Junxiu Liu; Xiuhao Liang; Rixing Yang; Yuling Luo; Hao Lu 017; Liangjia Li; Shunsheng Zhang; Su Yang 002 (Eng. Appl. Artif. Intell., 2022)

CONCEAL: A robust dual-color image watermarking scheme. - Yuling Luo; Fangxiao Wang 003; Shanshan Xu; Shunsheng Zhang; Liangjia Li; Min Su; Junxiu Liu (Expert Syst. Appl., 2022)

An image encryption scheme based on particle swarm optimization algorithm and hyperchaotic system. - Yuling Luo; Xue Ouyang; Junxiu Liu; Lvchen Cao; Yanli Zou (Soft Comput., 2022)

Machine Learning-Based Similarity Attacks for Chaos-Based Cryptosystems. - Junxiu Liu; Shunsheng Zhang; Yuling Luo; Lvchen Cao (IEEE Trans. Emerg. Top. Comput., 2022)

Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning. - Junxiu Liu; Sheng Qin; Yuling Luo; Yanhu Wang; Su Yang 002 (IEEE Trans. Veh. Technol., 2022)

Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies. - Natasha Hamilton; Jim Harkin; Liam McDaid; Junxiu Liu; Eoghan Furey (IJCCI, 2023)

Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data. - Jielu Zhang; Lan Mu; Donglan Zhang; Janani Rajbhandari-Thapa; Zhuo Chen; José A. Pagán; Yan Li 017; Heejung Son; Junxiu Liu (ISPRS Int. J. Geo Inf., 2023)

A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease. - Shuo Liu; Yi Cao 001; Junxiu Liu; Xuemei Ding; Damien Coyle (Int. J. Mach. Learn. Cybern., 2023)

Chinese named entity recognition method for the finance domain based on enhanced features and pretrained language models. - Han Zhang 015; Xinyu Wang; Junxiu Liu; Lei Zhang; Lixia Ji 001 (Inf. Sci., 2023)

A grape disease identification and severity estimation system. - Haiping Shu; Junxiu Liu; Yifan Hua; Jian Chen; Shunsheng Zhang; Min Su; Yuling Luo (Multim. Tools Appl., 2023)

A Secure and Efficient Framework for Outsourcing Large-scale Matrix Determinant and Linear Equations. - Yuling Luo; Shiqi Zhang; Shunsheng Zhang; Junxiu Liu; Yanhu Wang; Su Yang 002 (ACM Trans. Embed. Comput. Syst., 2023)

Traffic signal control using reinforcement learning based on the teacher-student framework. - Junxiu Liu; Sheng Qin; Min Su; Yuling Luo; Shunsheng Zhang; Yanhu Wang; Su Yang 002 (Expert Syst. Appl., 2023)

Multiple intersections traffic signal control based on cooperative multi-agent reinforcement learning. - Junxiu Liu; Sheng Qin; Min Su; Yuling Luo; Yanhu Wang; Su Yang 002 (Inf. Sci., 2023)

Improved reinforcement learning-based real-time energy scheduling for prosumer with elastic loads in smart grid. - Didi Liu; Pengpeng Cheng; Jun Cheng; Junxiu Liu; Meiqu Lu; Frank Jiang 001 (Knowl. Based Syst., 2023)

Hardware Spiking Neural Networks with Pair-Based STDP Using Stochastic Computing. - Junxiu Liu; Yanhu Wang; Yuling Luo; Shunsheng Zhang; Dong Jiang; Yifan Hua; Sheng Qin; Su Yang 002 (Neural Process. Lett., 2023)

A watermark-based framework to actively protect deep neural networks. - Yuling Luo; Yuanze Li; Shunsheng Zhang; Junxiu Liu; Sheng Qin (IJCNN, 2024)

A two-branch encoder-decoder network for image tampering localization. - Yuling Luo; Ce Liang; Sheng Qin; Junxiu Liu; Qiang Fu 019; Su Yang 002 (Appl. Soft Comput., 2024)

Formation and evolution of apple (Malus pumila Mill.) bruising based on high-speed camera verification and finite element method. - Changsu Xu; Junxiu Liu; Xiangfei Huang; Yunwu Li (Comput. Electron. Agric., 2024)

DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT. - Yi Lu; Hongjian Gao; Jikuan Qiu; Zihan Qiu; Junxiu Liu; Xiangzhi Bai (Comput. Medical Imaging Graph., 2024)

The open banking era: An optimal model for the emergency fund. - Junxiu Liu; Shaodong Huang; Qiang Fu 019; Yuling Luo; Sheng Qin; Yi Cao 001; Jia Zhai; Su Yang 002 (Expert Syst. Appl., 2024)

Unidirectional and hierarchical on-chip interconnected architecture for large-scale hardware spiking neural networks. - Junxiu Liu; Dong Jiang; Qiang Fu 019; Yuling Luo; Yaohua Deng; Sheng Qin; Shunsheng Zhang (Neurocomputing, 2024)

Chinese nested entity recognition method for the finance domain based on heterogeneous graph network. - Han Zhang 015; Yiping Dang; Yazhou Zhang; Siyuan Liang; Junxiu Liu; Lixia Ji 001 (Inf. Process. Manag., 2024)

Copyright protection framework for federated learning models against collusion attacks. - Yuling Luo; Yuanze Li; Sheng Qin; Qiang Fu 019; Junxiu Liu (Inf. Sci., 2024)

Energy efficient multi-user task offloading through active RIS with hybrid TDMA-NOMA transmission. - Baoshan Lu; Junli Fang 002; Junxiu Liu; Xuemin Hong (J. Netw. Comput. Appl., 2024)

Mathematical Modeling of PI3K/Akt Pathway in Microglia. - Alireza Poshtkohi; John J. Wade; Liam McDaid; Junxiu Liu; Mark Dallas; Angela Bithell (Neural Comput., 2024)

An image compression-then-encryption algorithm using piecewise asymptotic deterministic random measurement matrix. - Yuling Luo; Xianya Huang; Shunsheng Zhang; Junxiu Liu (Multim. Tools Appl., 2024)

A Blind and Robust Image Watermarking Algorithm in the Spatial Domain using Two-level Partition. - Liangjia Li; Yuling Luo; Junxiu Liu; Senhui Qiu (Mob. Networks Appl., 2024)

Event Data Classification Using TPE-Based Deep Spiking Neural Networks. - Junxiu Liu; Huazhi Liu; Qiang Fu 019; Yuling Luo; Sheng Qin; Xiwen Luo; Yeqing Xiong (ICIC (22), 2025)

Autonomous Learning Mobile Robots Inspired by Biological Reward Strategies. - Junxiu Liu; Changyong Yang; Qiang Fu 019; Yuling Luo; Sheng Qin; Xue Ouyang (ICIC (14), 2025)

EEG-based emotion detection using Long Short-Term Memory Network and reinforcement learning for enhanced feature selection. - Junxiu Liu; Guopei Wu; Qiang Fu 019; Yuling Luo; Su Yang 002; Senhui Qiu; Yi Cao 001; Wei Li 055 (Appl. Soft Comput., 2025)

Memory-augmented-based meta-learning framework for cross-subject motor imagery classification. - Junxiu Liu; Xuanyu Zhao; Yuling Luo; Sheng Qin; Qiang Fu 019; Hongxiao Tan (Biomed. Signal Process. Control., 2025)

Characterization and evaluation of the viscoelastic models for normal and bruised apple pulp. - Changsu Xu; Puzan Zhang; Xiangfei Huang; Junxiu Liu; Yunwu Li (Comput. Electron. Agric., 2025)

DPO-Face: Differential privacy obfuscation for facial sensitive regions. - Yuling Luo; Tinghua Hu; Xue Ouyang; Junxiu Liu; Qiang Fu 019; Sheng Qin; Zhen Min; Xiaoguang Lin (Comput. Secur., 2025)

Time series correlated key-value data collection with local differential privacy. - Yuling Luo; Yali Wan; Xue Ouyang; Junxiu Liu; Qiang Fu 019; Sheng Qin; Ziqi Yuan; Tinghua Hu (Comput. Secur., 2025)

A survey on learning with noisy labels in Natural Language Processing: How to train models with label noise. - Han Zhang 015; Yazhou Zhang; Jiajun Li; Junxiu Liu; Lixia Ji 001 (Eng. Appl. Artif. Intell., 2025)