default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXiaohui Liu 0001
Person information
- affiliation: Brunel University London, Department of Computer Science, UK
Other persons with the same name
- Xiaohui Liu — disambiguation page
- Xiaohui Liu 0002
![[0000-0001-9275-5635]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9275-5635")
— Wayne State University, Detroit, MI, USA - Xiaohui Liu 0003 — Harbin Institute of Technology, China
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j213]Tasin Islam, Alina Dana Miron, Monomita Nandy, Jyoti Choudrie, Xiaohui Liu, Yongmin Li:
Transforming Digital Marketing with Generative AI. Comput. 13(7): 168 (2024)- [j212]Jingzhong Fang, Zidong Wang, Weibo Liu, Linwei Chen, Xiaohui Liu:
A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing. Eng. Appl. Artif. Intell. 131: 107700 (2024) - [j211]Baoye Song, Yiyan Liu, Jingzhong Fang, Weibo Liu, Maiying Zhong, Xiaohui Liu:
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples. Neurocomputing 574: 127284 (2024) - [j210]Chuanbo Wen, Yipeng Xue, Weibo Liu, Guochu Chen, Xiaohui Liu:
Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks. Neurocomputing 576: 127355 (2024) - [j209]Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
StyleVTON: A multi-pose virtual try-on with identity and clothing detail preservation. Neurocomputing 594: 127887 (2024) - [j208]Mingnan Wei, Rui Yang, Mengjie Huang, Jiaying Ni, Zidong Wang, Xiaohui Liu:
Subband Cascaded CSP-Based Deep Transfer Learning for Cross-Subject Lower Limb Motor Imagery Classification. IEEE Trans. Cogn. Dev. Syst. 16(3): 1172-1185 (2024) - [j207]Jingzhong Fang, Zidong Wang, Weibo Liu, Stanislao Lauria, Nianyin Zeng, Camilo Prieto, Fredrik Sikström, Xiaohui Liu:
A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing. IEEE Trans Autom. Sci. Eng. 21(2): 1244-1257 (2024) - [j206]Zhige Chen, Rui Yang, Mengjie Huang, Zidong Wang, Xiaohui Liu:
Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1994-2008 (2024) - 2023
- [j205]Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu:
Cost-sensitive learning with modified Stein loss function. Neurocomputing 525: 57-75 (2023) - [j204]Ziqi Liu, Rui Yang, Weibo Liu, Xiaohui Liu:
IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity. Neurocomputing 561: 126877 (2023) - [j203]Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu:
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection. Inf. Fusion 89: 588-602 (2023) - [j202]Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu:
A swarm optimizer with attention-based particle sampling and learning for large scale optimization. J. Ambient Intell. Humaniz. Comput. 14(7): 9329-9341 (2023) - [j201]Jieyu Zhang, Zidong Wang, Weibo Liu, Xiaohui Liu, Qiusheng Zheng:
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors. Int. J. Mach. Learn. Cybern. 14(9): 2903-2912 (2023) - [j200]Mincan Li, Zidong Wang, Qing-Long Han, Simon J. E. Taylor, Kenli Li, Xiangke Liao, Xiaohui Liu:
Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable Links. IEEE Trans. Cybern. 53(9): 6004-6016 (2023) - [j199]Kaiqun Zhu, Zidong Wang, Guoliang Wei, Xiaohui Liu:
Adaptive Set-Membership State Estimation for Nonlinear Systems Under Bit Rate Allocation Mechanism: A Neural-Network-Based Approach. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8337-8348 (2023) - [i2]Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery. CoRR abs/2310.00106 (2023) - 2022
- [j198]Yuanchen Wang, Weibo Liu, Xiaohui Liu:
Explainable AI techniques with application to NBA gameplay prediction. Neurocomputing 483: 59-71 (2022) - [j197]Mengmeng Sheng, Shengyong Chen, Weibo Liu, Jiafa Mao, Xiaohui Liu:
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization. Neurocomputing 489: 309-322 (2022) - [j196]Yingjie Tian, Duo Su, Stanislao Lauria, Xiaohui Liu:
Recent advances on loss functions in deep learning for computer vision. Neurocomputing 497: 129-158 (2022) - [j195]Jieyu Zhang, Miqing Li, Weibo Liu, Stanislao Lauria, Xiaohui Liu:
Many-objective optimization meets recommendation systems: A food recommendation scenario. Neurocomputing 503: 109-117 (2022) - [j194]Yani Xue, Miqing Li, Xiaohui Liu:
An effective and efficient evolutionary algorithm for many-objective optimization. Inf. Sci. 617: 211-233 (2022) - [j193]Mengmeng Sheng, Zidong Wang, Weibo Liu, Xi Wang, Shengyong Chen, Xiaohui Liu:
A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization. Knowl. Based Syst. 242: 108382 (2022) - [j192]Lulu Tian, Zidong Wang, Weibo Liu, Yuhua Cheng, Fuad E. Alsaadi, Xiaohui Liu:
Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications. Int. J. Mach. Learn. Cybern. 13(4): 1145-1155 (2022) - [j191]Hanjing Cheng, Zidong Wang, Zhihui Wei, Lifeng Ma, Xiaohui Liu:
On Adaptive Learning Framework for Deep Weighted Sparse Autoencoder: A Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 52(5): 3221-3231 (2022) - [j190]Nianyin Zeng, Zidong Wang, Weibo Liu, Hong Zhang, Kate Hone, Xiaohui Liu:
A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm. IEEE Trans. Cybern. 52(9): 9290-9301 (2022) - [j189]Nianyin Zeng, Peishu Wu, Zidong Wang, Han Li, Weibo Liu, Xiaohui Liu:
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j188]Nan Hou, Zidong Wang, Hongli Dong, Jun Hu, Xiaohui Liu:
Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme. IEEE Trans. Netw. Sci. Eng. 9(6): 4171-4183 (2022) - [c71]Yani Xue, Miqing Li, Hamid Arabnejad, Diana Suleimenova, Alireza Jahani, Bernhard C. Geiger, Zidong Wang, Xiaohui Liu, Derek Groen:
Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach. ICCS (3) 2022: 497-504 - [c70]Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
SVTON: Simplified Virtual Try-On. ICMLA 2022: 369-374 - [i1]Yani Xue, Miqing Li, Xiaohui Liu:
An Effective and Efficient Evolutionary Algorithm for Many-Objective Optimization. CoRR abs/2205.15884 (2022) - 2021
- [j187]Weibo Liu, Zidong Wang, Lulu Tian, Stanislao Lauria, Xiaohui Liu:
Melt pool segmentation for additive manufacturing: A generative adversarial network approach. Comput. Electr. Eng. 92: 107183 (2021) - [j186]Hanjing Cheng, Zidong Wang, Lifeng Ma, Xiaohui Liu, Zhihui Wei:
Multi-task Pruning via Filter Index Sharing: A Many-Objective Optimization Approach. Cogn. Comput. 13(4): 1070-1084 (2021) - [j185]Lulu Tian, Zidong Wang, Weibo Liu, Yuhua Cheng, Fuad E. Alsaadi, Xiaohui Liu:
A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests. Cogn. Comput. 13(5): 1263-1273 (2021) - [j184]Lei Zou, Zidong Wang, Hang Geng, Xiaohui Liu:
Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm. IEEE CAA J. Autom. Sinica 8(2): 377-388 (2021) - [j183]Wenbin Yue, Zidong Wang, Jieyu Zhang, Xiaohui Liu:
An Overview of Recommendation Techniques and Their Applications in Healthcare. IEEE CAA J. Autom. Sinica 8(4): 701-717 (2021) - [j182]Wenbin Yue, Zidong Wang, Weibo Liu, Bo Tian, Stanislao Lauria, Xiaohui Liu:
An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients. Neurocomputing 419: 287-294 (2021) - [j181]Zitong Wan, Rui Yang, Mengjie Huang, Nianyin Zeng, Xiaohui Liu:
A review on transfer learning in EEG signal analysis. Neurocomputing 421: 1-14 (2021) - [j180]Nianyin Zeng, Han Li, Zidong Wang, Weibo Liu, Songming Liu, Fuad E. Alsaadi, Xiaohui Liu:
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip. Neurocomputing 425: 173-180 (2021) - [j179]Lei Zou, Zidong Wang, Jun Hu, Yurong Liu, Xiaohui Liu:
Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges. Int. J. Syst. Sci. 52(14): 3013-3034 (2021) - [j178]Weibo Liu, Zidong Wang, Nianyin Zeng, Yuan Yuan, Fuad E. Alsaadi, Xiaohui Liu:
A novel randomised particle swarm optimizer. Int. J. Mach. Learn. Cybern. 12(2): 529-540 (2021) - [j177]Weibo Liu, Zidong Wang, Nianyin Zeng, Fuad E. Alsaadi, Xiaohui Liu:
A PSO-based deep learning approach to classifying patients from emergency departments. Int. J. Mach. Learn. Cybern. 12(7): 1939-1948 (2021) - [j176]Weibo Liu, Zidong Wang, Yuan Yuan, Nianyin Zeng, Kate Hone, Xiaohui Liu:
A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer. IEEE Trans. Cybern. 51(2): 1085-1093 (2021) - [j175]Mincan Li, Zidong Wang, Kenli Li, Xiangke Liao, Kate Hone, Xiaohui Liu:
Task Allocation on Layered Multiagent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning. IEEE Trans. Evol. Comput. 25(5): 842-855 (2021) - [j174]Wenbin Yue, Zidong Wang, Bo Tian, Mark Pook, Xiaohui Liu:
A Hybrid Model- and Memory-Based Collaborative Filtering Algorithm for Baseline Data Prediction of Friedreich's Ataxia Patients. IEEE Trans. Ind. Informatics 17(2): 1428-1437 (2021) - [j173]Di Zhao, Zidong Wang, Guoliang Wei, Xiaohui Liu:
Nonfragile H∞ State Estimation for Recurrent Neural Networks With Time-Varying Delays: On Proportional-Integral Observer Design. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3553-3565 (2021) - [j172]Izaz Ur Rahman, Zidong Wang, Weibo Liu, Baoliu Ye, Muhammad Zakarya, Xiaohui Liu:
An N-State Markovian Jumping Particle Swarm Optimization Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6626-6638 (2021) - 2020
- [j171]Fan Wang, Zidong Wang, Jinling Liang, Xiaohui Liu:
Recursive state estimation for two-dimensional shift-varying systems with random parameter perturbation and dynamical bias. Autom. 112 (2020) - [j170]Fan Wang, Zidong Wang, Jinling Liang, Xiaohui Liu:
Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols. Autom. 115: 108865 (2020) - [j169]Yaoli Wang, Xiaohui Liu, Maozhen Li, Wenxia Di, Lipo Wang:
Deep Convolution and Correlated Manifold Embedded Distribution Alignment for Forest Fire Smoke Prediction. Comput. Informatics 39(1): 318-339 (2020) - [j168]Wenbin Yue, Zidong Wang, Bo Tian, Annette M. Payne, Xiaohui Liu:
A Collaborative-Filtering-Based Data Collection Strategy for Friedreich's Ataxia. Cogn. Comput. 12(1): 249-260 (2020) - [j167]Fan Wang, Zidong Wang, Jinling Liang, Xiaohui Liu:
Event-Triggered Recursive Filtering for Shift-Varying Linear Repetitive Processes. IEEE Trans. Cybern. 50(4): 1761-1770 (2020) - [j166]Robert M. Hierons, Miqing Li, Xiaohui Liu, José Antonio Parejo, Sergio Segura, Xin Yao:
Many-Objective Test Suite Generation for Software Product Lines. ACM Trans. Softw. Eng. Methodol. 29(1): 2:1-2:46 (2020) - [j165]Fan Wang, Zidong Wang, Jinling Liang, Xiaohui Liu:
Robust Finite-Horizon Filtering for 2-D Systems With Randomly Varying Sensor Delays. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 220-232 (2020) - [c69]Yani Xue, Miqing Li, Xiaohui Liu:
Angle-Based Crowding Degree Estimation for Many-Objective Optimization. IDA 2020: 574-586
2010 – 2019
- 2019
- [j164]Bashir Isa Dodo, Yongmin Li, Djibril Kaba, Xiaohui Liu:
Retinal Layer Segmentation in Optical Coherence Tomography Images. IEEE Access 7: 152388-152398 (2019) - [j163]Yani Xue, Miqing Li, Martin J. Shepperd, Stasha Lauria, Xiaohui Liu:
A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines. Neurocomputing 364: 32-48 (2019) - [j162]Bashir Isa Dodo, Yongmin Li, Khalid Eltayef, Xiaohui Liu:
Automatic Annotation of Retinal Layers in Optical Coherence Tomography Images. J. Medical Syst. 43(12): 336:1-336:10 (2019) - [j161]Jingjing Tang, Yingjie Tian, Xiaohui Liu:
LGND: a new method for multi-class novelty detection. Neural Comput. Appl. 31(8): 3339-3355 (2019) - [j160]Jinling Liang, Fan Wang, Zidong Wang, Xiaohui Liu:
Minimum-Variance Recursive Filtering for Two-Dimensional Systems With Degraded Measurements: Boundedness and Monotonicity. IEEE Trans. Autom. Control. 64(10): 4153-4166 (2019) - [j159]Fan Wang, Zidong Wang, Jinling Liang, Xiaohui Liu:
Resilient State Estimation for 2-D Time-Varying Systems With Redundant Channels: A Variance-Constrained Approach. IEEE Trans. Cybern. 49(7): 2479-2489 (2019) - [j158]Weibo Liu, Zidong Wang, Xiaohui Liu, Nianyin Zeng, David Bell:
A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments. IEEE Trans. Evol. Comput. 23(4): 632-644 (2019) - [j157]Xiongbo Wan, Zidong Wang, Min Wu, Xiaohui Liu:
$H_{\infty}$ State Estimation for Discrete-Time Nonlinear Singularly Perturbed Complex Networks Under the Round-Robin Protocol. IEEE Trans. Neural Networks Learn. Syst. 30(2): 415-426 (2019) - [c68]Bashir I. Dodo, Yongmin Li, Xiaohui Liu, Muhammad Isa Dodo:
Level Set Segmentation of Retinal OCT Images. BIOIMAGING 2019: 49-56 - [c67]Bashir Isa Dodo, Yongmin Li, Muhammad Isa Dodo, Xiaohui Liu:
Simultaneous Segmentation of Retinal OCT Images Using Level Set. BIOSTEC (Selected Papers) 2019: 120-136 - [c66]Bashir I. Dodo, Yongmin Li, Allan Tucker, Djibril Kaba, Xiaohui Liu:
Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods. CBMS 2019: 93-98 - [c65]Weibo Liu, Zidong Wang, Liang Hu, Xiaohui Liu:
A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments. ICCA 2019: 278-283 - 2018
- [j156]Liang Hu, Zidong Wang, Qing-Long Han, Xiaohui Liu:
State estimation under false data injection attacks: Security analysis and system protection. Autom. 87: 176-183 (2018) - [j155]Jinling Liang, Fan Wang, Zidong Wang, Xiaohui Liu:
Robust Kalman filtering for two-dimensional systems with multiplicative noises and measurement degradations: The finite-horizon case. Autom. 96: 166-177 (2018) - [j154]Liang Hu, Zidong Wang, Qing-Long Han, Xiaohui Liu:
Event-based input and state estimation for linear discrete time-varying systems. Int. J. Control 91(1): 101-113 (2018) - [j153]Mohsina Mahmuda Ferdous, Yanchun Bao, Veronica Vinciotti, Xiaohui Liu, Paul Wilson:
Predicting gene expression from genome wide protein binding profiles. Neurocomputing 275: 1490-1499 (2018) - [j152]Jingjing Tang, Yingjie Tian, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou:
Improved multi-view privileged support vector machine. Neural Networks 106: 96-109 (2018) - [j151]Fan Wang, Zidong Wang, Jinling Liang, Xiaohui Liu:
Resilient Filtering for Linear Time-Varying Repetitive Processes Under Uniform Quantizations and Round-Robin Protocols. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(9): 2992-3004 (2018) - [j150]Fan Wang, Jinling Liang, Zidong Wang, Xiaohui Liu:
A Variance-Constrained Approach to Recursive Filtering for Nonlinear 2-D Systems With Measurement Degradations. IEEE Trans. Cybern. 48(6): 1877-1887 (2018) - [j149]Miqing Li, Crina Grosan, Shengxiang Yang, Xiaohui Liu, Xin Yao:
Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite. IEEE Trans. Evol. Comput. 22(1): 61-78 (2018) - [j148]Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu:
Multiview Privileged Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3463-3477 (2018) - [j147]Hongjian Liu, Zidong Wang, Bo Shen, Xiaohui Liu:
Event-Triggered H∞ State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3726-3737 (2018) - [c64]Bashir I. Dodo, Yongmin Li, Khalid Eltayef, Xiaohui Liu:
Graph-Cut Segmentation of Retinal Layers from OCT Images. BIOIMAGING 2018: 35-42 - [c63]Bashir Isa Dodo, Yongmin Li, Khalid Eltayef, Xiaohui Liu:
Min-Cut Segmentation of Retinal OCT Images. BIOSTEC (Selected Papers) 2018: 86-99 - 2017
- [j146]Jiafa Mao, Gang Xiao, Weiguo Sheng, Tasawar Hayat, Xiaohui Liu:
A theoretical 2D image model for locating 3D targets. Int. J. Comput. Math. 94(7): 1430-1450 (2017) - [j145]Weibo Liu, Zidong Wang, Xiaohui Liu, Nianyin Zeng, Yurong Liu, Fuad E. Alsaadi:
A survey of deep neural network architectures and their applications. Neurocomputing 234: 11-26 (2017) - [j144]Ali Tarhini, Kate S. Hone, Xiaohui Liu, Takwa Tarhini:
Examining the moderating effect of individual-level cultural values on users' acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model. Interact. Learn. Environ. 25(3): 306-328 (2017) - [j143]Lei Zou, Zidong Wang, Huijun Gao, Xiaohui Liu:
State Estimation for Discrete-Time Dynamical Networks With Time-Varying Delays and Stochastic Disturbances Under the Round-Robin Protocol. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1139-1151 (2017) - [c62]Khalid Eltayef, Yongmin Li, Xiaohui Liu:
Lesion Segmentation in Dermoscopy Images Using Particle Swarm Optimization and Markov Random Field. CBMS 2017: 739-744 - [c61]Bashir I. Dodo, Yongmin Li, Xiaohui Liu:
Retinal OCT Image Segmentation Using Fuzzy Histogram Hyperbolization and Continuous Max-Flow. CBMS 2017: 745-750 - [c60]Weibo Liu, Zidong Wang, Xiaohui Liu, Wenbin Yue, David Bell:
A clustering approach to triage categorization in A&E departments. ICAC 2017: 1-6 - [c59]Fan Wang, Jinling Liang, Xiaohui Liu:
Recursive filtering for two-dimensional systems with missing measurements subject to uncertain probabilities. ICAC 2017: 1-6 - [c58]Khalid Eltayef, Yongmin Li, Bashir I. Dodo, Xiaohui Liu:
Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features. IDA 2017: 75-86 - [c57]Seyed Mahdi Javadi, Yongmin Li, Xiaohui Liu:
Detecting Non-lambertian Materials in Video. VISIGRAPP (4: VISAPP) 2017: 254-259 - 2016
- [j142]Lifeng Ma, Zidong Wang, Hak-Keung Lam, Fuad E. Alsaadi, Xiaohui Liu:
Robust filtering for a class of nonlinear stochastic systems with probability constraints. Autom. Remote. Control. 77(1): 37-54 (2016) - [j141]Wei Zheng, Robert M. Hierons, Miqing Li, Xiaohui Liu, Veronica Vinciotti:
Multi-objective optimisation for regression testing. Inf. Sci. 334-335: 1-16 (2016) - [j140]Juanying Xie, Hongchao Gao, Weixin Xie, Xiaohui Liu, Philip W. Grant:
Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors. Inf. Sci. 354: 19-40 (2016) - [j139]Dandan Chen, Yingjie Tian, Xiaohui Liu:
Structural nonparallel support vector machine for pattern recognition. Pattern Recognit. 60: 296-305 (2016) - [j138]Liang Hu, Zidong Wang, Izaz Ur Rahman, Xiaohui Liu:
A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements. IEEE Trans. Control. Syst. Technol. 24(2): 703-710 (2016) - [j137]Miqing Li, Shengxiang Yang, Xiaohui Liu:
Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization. IEEE Trans. Evol. Comput. 20(5): 645-665 (2016) - [j136]Liang Hu, Zidong Wang, Xiaohui Liu:
Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1604-1614 (2016) - [j135]Robert M. Hierons, Miqing Li, Xiaohui Liu, Sergio Segura, Wei Zheng:
SIP: Optimal Product Selection from Feature Models Using Many-Objective Evolutionary Optimization. ACM Trans. Softw. Eng. Methodol. 25(2): 17:1-17:39 (2016) - [j134]Zhaomeng Zhu, Gongxuan Zhang, Miqing Li, Xiaohui Liu:
Evolutionary Multi-Objective Workflow Scheduling in Cloud. IEEE Trans. Parallel Distributed Syst. 27(5): 1344-1357 (2016) - [c56]Steve Counsell, Giuseppe Destefanis, Xiaohui Liu, Sigrid Eldh, Andreas Ermedahl, Kenneth Andersson:
Comparing Test and Production Code Quality in a Large Commercial Multicore System. SEAA 2016: 86-91 - [c55]Fan Wang, Jinling Liang, Xiaohui Liu:
H∞ state estimation for time-varying networks with probabilistic delay in measurements. ICAC 2016: 1-6 - 2015
- [j133]Miqing Li, Shengxiang Yang, Xiaohui Liu:
Bi-goal evolution for many-objective optimization problems. Artif. Intell. 228: 45-65 (2015) - [j132]Ali Tarhini, Kate S. Hone, Xiaohui Liu:
A cross-cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students. Br. J. Educ. Technol. 46(4): 739-755 (2015) - [j131]Jie Zhang, Zidong Wang, Derui Ding, Xiaohui Liu:
H∞ state estimation for discrete-time delayed neural networks with randomly occurring quantizations and missing measurements. Neurocomputing 148: 388-396 (2015) - [j130]Xueming Ding, Zhenkai Xu, Ngaam J. Cheung, Xiaohui Liu:
Parameter estimation of Takagi-Sugeno fuzzy system using heterogeneous cuckoo search algorithm. Neurocomputing 151: 1332-1342 (2015) - [j129]Weijian Ren, Nan Hou, Qiong Wang, Yang Lu, Xiaohui Liu:
Non-fragile H∞ filtering for nonlinear systems with randomly occurring gain variations and channel fadings. Neurocomputing 156: 176-185 (2015) - [j128]Jinling Liang, Zidong Wang, Xiaohui Liu:
H∞ control for 2-D time-delay systems with randomly occurring nonlinearities under sensor saturation and missing measurements. J. Frankl. Inst. 352(3): 1007-1030 (2015) - [j127]