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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.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9275-5635")
— Wayne State University, Detroit, MI, USA - Xiaohui Liu 0003 — Harbin Institute of Technology, China
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2020 – today
- 2024
[j215]Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
Deep Learning in Virtual Try-On: A Comprehensive Survey. IEEE Access 12: 29475-29502 (2024)- [j214]Tasin Islam, Alina Dana Miron, Monomita Nandy, Jyoti Choudrie, Xiaohui Liu, Yongmin Li:
Transforming Digital Marketing with Generative AI. Comput. 13(7): 168 (2024) - [j213]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) - [j212]Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
Dynamic Fashion Video Synthesis from Static Imagery. Future Internet 16(8): 287 (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]