Alan Wee-Chung Liew

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 111

Top Venues

Publications

Lei Yang, Shilin Wang, Alan Wee-Chung Liew
Fine-Grained Lip Image Segmentation Using Fuzzy Logic and Graph Reasoning. IEEE Trans. Fuzzy Syst. 32 (2) (2024)
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew
Linear Functionality Equivalence Attack Against Deep Neural Network Watermarks and a Defense Method by Neuron Mapping. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Ye Tao, Can Wang, Alan Wee-Chung Liew
Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model. Future Gener. Comput. Syst. 149 (2023)
Zhangchi Qiu, Ye Tao, Shirui Pan, Alan Wee-Chung Liew
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems. CoRR (2023)
Linqing Huang, Wangbo Zhao, Alan Wee-Chung Liew, Yang You
An evidential combination method with multi-color spaces for remote sensing image scene classification. Inf. Fusion 93 (2023)
Anh Vu Luong, Tien Thanh Nguyen, Kate Han, Trung Hieu Vu, John McCall, Alan Wee-Chung Liew
DEFEG: Deep Ensemble with Weighted Feature Generation. Knowl. Based Syst. 275 (2023)
Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR (2023)
Can Wang, Chi-Hung Chi, Lina Yao, Alan Wee-Chung Liew, Hong Shen
Interdependence analysis on heterogeneous data via behavior interior dimensions. Knowl. Based Syst. 279 (2023)
Dylan Matthew Janssen, Wayne Pullan, Alan Wee-Chung Liew
Evolutionary Computation Visualization: ECvis. IEEE Access 11 (2023)
Remco M. Dijkman, Samira Si-Said Cherfi, Rik Eshuis, Alan Wee-Chung Liew
Enterprise Computing. Inf. Syst. 109 (2022)
Hui Tian, Lulu Wang, Hong Shen, Alan Wee-Chung Liew
Improved Ensemble Classification for Evolving Data Streams. IEEE Intell. Syst. 37 (1) (2022)
Judy X Yang, Hui Tian, Alan Wee-Chung Liew, Earnest Foo
A scheme of hybrid privacy protection and utility levels for medical data. CoRR (2022)
Dylan Matthew Janssen, Wayne Pullan, Alan Wee-Chung Liew
Graphics processing unit acceleration of the island model genetic algorithm using the CUDA programming platform. Concurr. Comput. Pract. Exp. 34 (2) (2022)
Truong Dang, Tien Thanh Nguyen, John McCall, Alan Wee-Chung Liew
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation. SSCI (2022)
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew
Watermarking Protocol for Deep Neural Network Ownership Regulation in Federated Learning. ICME Workshops (2022)
Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, John McCall, Tien Thanh Nguyen
Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. CEC (2022)
Suhad Lateef Al-Khafaji, Jun Zhou, Xiao Bai, Yuntao Qian, Alan Wee-Chung Liew
Spectral-Spatial Boundary Detection in Hyperspectral Images. IEEE Trans. Image Process. 31 (2022)
Hui Tian, Alan Wee-Chung Liew, Hong Shen
Advances in parallel and distributed computing and its applications. Concurr. Comput. Pract. Exp. 34 (2) (2022)
Benson Shu Yan Lam, Alan Wee-Chung Liew
A Fast Binary Quadratic Programming Solver Based on Stochastic Neighborhood Search. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. SMC (2022)
Fangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew
Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking. SafeAI@AAAI (2022)
Fang-Qi Li, Ruijie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding
Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers. IEEE Trans. Fuzzy Syst. 30 (11) (2022)
Mohammad Reza Chalak Qazani, Mansour Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. SMC (2022)
Ye Tao, Can Wang, Alan Wee-Chung Liew, Sebastian Binnewies
Enhancing recommender ensemble by estimating input fitness. Comput. Electr. Eng. 104 (Part) (2022)
Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen
A Survey of Machine Unlearning. CoRR (2022)
Xuan Cuong Pham, Alan Wee-Chung Liew, Can Wang
A Novel Class-wise Forgetting Detector in Continual Learning. DICTA (2021)
Chenzhao Yang, Jun Ma, Shilin Wang, Alan Wee-Chung Liew
Preventing DeepFake Attacks on Speaker Authentication by Dynamic Lip Movement Analysis. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew
Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm. DICTA (2021)
Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shilin Wang
Heterogeneous ensemble selection for evolving data streams. Pattern Recognit. 112 (2021)
Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Alan Wee-Chung Liew
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation. CoRR (2021)
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, Gongshen Liu
Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Fangqi Li, Shi-Lin Wang, Alan Wee-Chung Liew
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects. CoRR (2021)
Tianxing Wang, Can Wang, Hui Tian, Alan Wee-Chung Liew, Yunwei Zhao
Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation. WI/IAT (2021)
Saba Momeni, Amir Fazlollahi, Paul A. Yates, Christopher Rowe, Yongsheng Gao, Alan Wee-Chung Liew, Olivier Salvado
Synthetic microbleeds generation for classifier training without ground truth. Comput. Methods Programs Biomed. 207 (2021)
Yi Ji, Alan Wee-Chung Liew, Lixia Yang
A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast. IEEE Access 9 (2021)
Tian-Fang Zhao, Wei-Neng Chen, Alan Wee-Chung Liew, Tianlong Gu, Xiao-Kun Wu, Jun Zhang
A Binary Particle Swarm Optimizer With Priority Planning and Hierarchical Learning for Networked Epidemic Control. IEEE Trans. Syst. Man Cybern. Syst. 51 (8) (2021)
Cheng Guan, Shilin Wang, Alan Wee-Chung Liew
Lip Image Segmentation Based on a Fuzzy Convolutional Neural Network. IEEE Trans. Fuzzy Syst. 28 (7) (2020)
Yufei Wang, Yongjian Hu, Alan Wee-Chung Liew, Chang-Tsun Li
ENF Based Video Forgery Detection Algorithm. Int. J. Digit. Crime Forensics 12 (1) (2020)
Duc Thuan Do, Tien Thanh Nguyen, The Trung Nguyen, Anh Vu Luong, Alan Wee-Chung Liew, John McCall
Confidence in Prediction: An Approach for Dynamic Weighted Ensemble. ACIIDS (1) (2020)
Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John A. W. McCall, Alan Wee-Chung Liew, Tien Thanh Nguyen
A Homogeneous-Heterogeneous Ensemble of Classifiers. ICONIP (5) (2020)
Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, Wenjian Luo
Current trends of granular data mining for biomedical data analysis. Inf. Sci. 510 (2020)
Qinghua Huang, Jie Yang, Xiangfei Feng, Alan Wee-Chung Liew, Xuelong Li
Automated Trading Point Forecasting Based on Bicluster Mining and Fuzzy Inference. IEEE Trans. Fuzzy Syst. 28 (2) (2020)
Tien Thanh Nguyen, Manh Truong Dang, Vimal Anand Baghel, Anh Vu Luong, John McCall, Alan Wee-Chung Liew
Evolving interval-based representation for multiple classifier fusion. Knowl. Based Syst. (2020)
Jun Ma, Shilin Wang, Aixin Zhang, Alan Wee-Chung Liew
Feature Extraction For Visual Speaker Authentication Against Computer-Generated Video Attacks. ICIP (2020)
Tien Thanh Nguyen, Nang Van Pham, Manh Truong Dang, Anh Vu Luong, John McCall, Alan Wee-Chung Liew
Multi-layer heterogeneous ensemble with classifier and feature selection. GECCO (2020)
Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Alan Wee-Chung Liew, John McCall
Ensemble Selection based on Classifier Prediction Confidence. Pattern Recognit. 100 (2020)
Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew
Streaming Active Deep Forest for Evolving Data Stream Classification. CoRR (2020)
Dylan Matthew Janssen, Alan Wee-Chung Liew
Acceleration of Genetic Algorithm on GPU CUDA Platform. PDCAT (2019)
Cheng Guan, Shilin Wang, Gongshen Liu, Alan Wee-Chung Liew
Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation. ICIP (2019)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification. DICTA (2019)
Tien Thanh Nguyen, Manh Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, Tiancai Liang, John McCall
Multi-label classification via incremental clustering on an evolving data stream. Pattern Recognit. 95 (2019)
Tien Thanh Nguyen, Manh Truong Dang, Alan Wee-Chung Liew, James C. Bezdek
A weighted multiple classifier framework based on random projection. Inf. Sci. 490 (2019)
Tien Thanh Nguyen, Anh Vu Luong, Thi Minh Van Nguyen, Trong Sy Ha, Alan Wee-Chung Liew, John McCall
Simultaneous meta-data and meta-classifier selection in multiple classifier system. GECCO (2019)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Rabi Sharma, Alan Wee-Chung Liew
A lossless online Bayesian classifier. Inf. Sci. 489 (2019)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Anh Vu Luong, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Bela Stantic
Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern Recognit. 90 (2019)
Feng Cheng, Shi-Lin Wang, Xizi Wang, Alan Wee-Chung Liew, Gongshen Liu
A global and local context integration DCNN for adult image classification. Pattern Recognit. 96 (2019)
Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew
A Novel Online Ensemble Convolutional Neural Networks for Streaming Data. ICONIP (1) (2019)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shi-Lin Wang, Tiancai Liang, Yongjiang Hu
An Online Variational Inference and Ensemble Based Multi-label Classifier for Data Streams. ICACI (2019)
Tien Thanh Nguyen, Manh Truong Dang, Dung Pham, Lan Phuong Dao, Anh Vu Luong, John McCall, Alan Wee-Chung Liew
Deep Heterogeneous Ensemble. Aust. J. Intell. Inf. Process. Syst. 16 (1) (2019)
Fayez Tarsha Kurdi, Mohammad Awrangjeb, Alan Wee-Chung Liew
Automated Building Footprint and 3D Building Model Generation from Lidar Point Cloud Data. DICTA (2019)
Rupam Deb, Alan Wee-Chung Liew
Noisy values detection and correction of traffic accident data. Inf. Sci. 476 (2019)
Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz
Aggregation of Classifiers: A Justifiable Information Granularity Approach. IEEE Trans. Cybern. 49 (6) (2019)
Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Lan Phuong Dao, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, John McCall
Evolving an Optimal Decision Template for Combining Classifiers. ICONIP (1) (2019)
Ghazaleh Taherzadeh, Yuedong Yang, Hao-Dong Xu, Yu Xue, Alan Wee-Chung Liew, Yaoqi Zhou
Predicting lysine-malonylation sites of proteins using sequence and predicted structural features. J. Comput. Chem. 39 (22) (2018)
Maryam Golchin, Alan Wee-Chung Liew
Bicluster Detection by Hyperplane Projection and Evolutionary Optimization. BIOINFORMATICS (2018)
Feng Cheng, Shi-Lin Wang, Alan Wee-Chung Liew
Visual speaker authentication with random prompt texts by a dual-task CNN framework. Pattern Recognit. 83 (2018)
Yufei Wang, Yongjiang Hu, Alan Wee-Chung Liew, Junhu Wang
Weakly Supervised Video Object Segmentation. TENCON (2018)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. WHISPERS (2018)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Alan Wee-Chung Liew, Shi-Lin Wang
Variational inference based bayes online classifiers with concept drift adaptation. Pattern Recognit. 81 (2018)
Anh Vu Luong, Tien Thanh Nguyen, Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Bela Stantic
Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System. ACIIDS (1) (2018)
Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew
Heterogeneous classifier ensemble with fuzzy rule-based meta learner. Inf. Sci. 422 (2018)
Seyed Hashem Davarpanah, Alan Wee-Chung Liew
Brain mid-sagittal surface extraction based on fractal analysis. Neural Comput. Appl. 30 (1) (2018)
Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis, Alan Wee-Chung Liew, Jin Song Dong
Enhanced multi-objective particle swarm optimisation for estimating hand postures. Knowl. Based Syst. 158 (2018)
Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, Alan Wee-Chung Liew
Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images. IEEE Trans. Image Process. 27 (2) (2018)
Suhad Lateef Al-Khafaji, Jun Zhou, Alan Wee-Chung Liew
An Efficient Method for Boundary Detection from Hyperspectral Imagery. S+SSPR (2018)
Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz
Combining heterogeneous classifiers via granular prototypes. Appl. Soft Comput. 73 (2018)
Ghazaleh Taherzadeh, Yaoqi Zhou, Alan Wee-Chung Liew, Yuedong Yang
Structure-based prediction of protein- peptide binding regions using Random Forest. Bioinform. 34 (3) (2018)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. CoRR (2017)
Maryam Golchin, Alan Wee-Chung Liew
Parallel biclustering detection using strength Pareto front evolutionary algorithm. Inf. Sci. 415 (2017)
Seyed Hashem Davarpanah, Alan Wee-Chung Liew
Spatial Possibilistic Fuzzy C-Mean Segmentation Algorithm Integrated with Brain Mid-sagittal Surface Information. Int. J. Fuzzy Syst. 19 (2) (2017)
Suhad Lateef Al-khafaji, Ali Zia, Jun Zhou, Alan Wee-Chung Liew
Material Based Boundary Detection in Hyperspectral Images. DICTA (2017)
Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz
Aggregation of Classifiers: A Justifiable Information Granularity Approach. CoRR (2017)
Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis, Alan Wee-Chung Liew
Let's Consider Two Objectives When Estimating Hand Postures. Australasian Conference on Artificial Intelligence (2017)
Ning Jia, Chang-Tsun Li, Victor Sanchez, Alan Wee-Chung Liew
Fast and robust framework for view-invariant gait recognition. IWBF (2017)
Xuan Cuong Pham, Manh Truong Dang, Dinh Viet Sang, Son Hoang, Tien Thanh Nguyen, Alan Wee-Chung Liew
Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier. DICTA (2017)
Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Tien Thanh Nguyen, Shilin Wang
A Novel Bayesian Framework for Online Imbalanced Learning. DICTA (2017)
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, James C. Bezdek
An ensemble-based online learning algorithm for streaming data. CoRR (2017)
Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao
Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. DICTA (2017)
Rupam Deb, Alan Wee-Chung Liew
Missing value imputation for the analysis of incomplete traffic accident data. Inf. Sci. 339 (2016)
Maryam Golchin, Alan Wee-Chung Liew
Bicluster detection using strength pareto front evolutionary algorithm. ACSW (2016)
Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Yongjian Hu, Tiancai Liang, Chang-Tsun Li
A Novel Online Bayes Classifier. DICTA (2016)
Lihua Guo, Fudi Li, Alan Wee-Chung Liew
Image Aesthetic Evaluation Using Parallel Deep Convolution Neural Network. DICTA (2016)
Ghazaleh Taherzadeh, Yuedong Yang, Tuo Zhang, Alan Wee-Chung Liew, Yaoqi Zhou
Sequence-based prediction of protein-peptide binding sites using support vector machine. J. Comput. Chem. 37 (13) (2016)
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia
CRF learning with CNN features for hyperspectral image segmentation. IGARSS (2016)
Jun-Yao Lai, Shi-Lin Wang, Alan Wee-Chung Liew, Xing-Jian Shi
Visual speaker identification and authentication by joint spatiotemporal sparse coding and hierarchical pooling. Inf. Sci. 373 (2016)
Lihua Guo, Alan Wee-Chung Liew
Online-Offline Extreme Learning Machine with Concept Drift Tracking for Time Series Data. DICTA (2016)
Ghazaleh Taherzadeh, Yaoqi Zhou, Alan Wee-Chung Liew, Yuedong Yang
Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines. J. Chem. Inf. Model. 56 (10) (2016)
Lihua Guo, Alan Wee-Chung Liew
An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures. DICTA (2016)
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew
A novel combining classifier method based on Variational Inference. Pattern Recognit. 49 (2016)

Alan Wee-Chung Liew.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alan Wee-Chung Liew