| 2026 | AAAI | Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time. | Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | ACL | Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction. | Su Lan, Xuefei Yin, Yanming Zhu, Alan Wee-Chung Liew |
| 2026 | ACL | Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection. | Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | WWW | Graph Neural Network Model Transferability Estimation via Decomposition-Augmented Discriminant Analysis. | Huanchang Ma, Xin Zheng, Jianyu Li, Alan Wee-Chung Liew, Wei Lan, Jian Gao |
| 2026 | WWW | Multi-Source Unsupervised Graph Domain Adaptation via Concise Propagation-Transformation Pipeline. | Jiayi Wang, Yi Li, Xin Zheng, Junyang Chen, Yanqing Guo, Alan Wee-Chung Liew, Shirui Pan |
| 2025 | AAAI | A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection. | Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan |
| 2025 | CIKM | OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. | Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chrubin, Can Wang, Alan Wee-Chung Liew, Qinghua Lu, Jingwei Yao, Hong Zhang, Shirui Pan, Xingquan Zhu |
| 2025 | ICDM | Reasoning Over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations. | Zhangchi Qiu, Linhao Luo, Shirui Pan, Alan Wee-Chung Liew |
| 2025 | ICDM | Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts. | Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan |
| 2025 | PAKDD | VCC-Fed: A Multi-task Federated Learning Paradigm with Versatile Collaborative Clients. | Yue Hua, Yi Li, Xin Zheng, Ming Yang, Haiyan Fu, Alan Wee-Chung Liew, Yanqing Guo |
| 2025 | PAKDD | Graph Retrieval-Augmented LLM for Conversational Recommendation Systems. | Zhangchi Qiu, Linhao Luo, Zicheng Zhao, Shirui Pan, Alan Wee-Chung Liew |
| 2025 | PAKDD | Efficient and Diverse De Novo Protein Backbone Design with SE(3)-Equivariant Diffusion. | Ruipeng Zhou, Ming Yang, Yi Li, Xin Zheng, Alan Wee-Chung Liew, Shirui Pan, Yanqing Guo |
| 2024 | CEC | A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture. | Truong Dang, Tien Thanh Nguyen, John McCall, Kate Han, Alan Wee-Chung Liew |
| 2024 | CEC | VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System. | Kate Han, Truong Thanh Nguyen, Viet Anh Vu, Alan Wee-Chung Liew, Truong Dang, Tien Thanh Nguyen |
| 2024 | DICTA | CAMVOS: Leveraging Context and Memory for Advanced Video Object Segmentation. | Waqas Arshid, Mohammad Awrangjeb, Alan Wee-Chung Liew, Yongsheng Gao |
| 2024 | PDCAT | Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications. | Yanming Zhu, Xuefei Yin, Alan Wee-Chung Liew, Hui Tian |
| 2023 | IJCAI | Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. | Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li |
| 2022 | AAAI | Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking. | Fangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew |
| 2022 | CEC | Ensemble of deep learning models with surrogate-based optimization for medical image segmentation. | Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, John McCall, Tien Thanh Nguyen |
| 2022 | SMC | Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. | Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi |
| 2022 | SMC | Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. | Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi |
| 2021 | DICTA | Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm. | Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew |
| 2021 | DICTA | A Novel Class-wise Forgetting Detector in Continual Learning. | Xuan Cuong Pham, Alan Wee-Chung Liew, Can Wang |
| 2020 | ACIIDS | Confidence in Prediction: An Approach for Dynamic Weighted Ensemble. | Duc Thuan Do, Tien Thanh Nguyen, The Trung Nguyen, Anh Vu Luong, Alan Wee-Chung Liew, John McCall |
| 2020 | GECCO | Multi-layer heterogeneous ensemble with classifier and feature selection. | Tien Thanh Nguyen, Nang Van Pham, Manh Truong Dang, Anh Vu Luong, John McCall, Alan Wee-Chung Liew |
| 2020 | ICIP | Feature Extraction For Visual Speaker Authentication Against Computer-Generated Video Attacks. | Jun Ma, Shilin Wang, Aixin Zhang, Alan Wee-Chung Liew |
| 2020 | ICONIP | A Homogeneous-Heterogeneous Ensemble of Classifiers. | Anh Vu Luong, Trung Hieu Vu, Phuong Minh Nguyen, Nang Van Pham, John A. W. McCall, Alan Wee-Chung Liew, Tien Thanh Nguyen |
| 2019 | DICTA | Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification. | Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew |
| 2019 | DICTA | Automated Building Footprint and 3D Building Model Generation from Lidar Point Cloud Data. | Fayez Tarsha Kurdi, Mohammad Awrangjeb, Alan Wee-Chung Liew |
| 2019 | GECCO | Simultaneous meta-data and meta-classifier selection in multiple classifier system. | Tien Thanh Nguyen, Anh Vu Luong, Thi Minh Van Nguyen, Trong Sy Ha, Alan Wee-Chung Liew, John McCall |
| 2019 | ICIP | Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation. | Cheng Guan, Shilin Wang, Gongshen Liu, Alan Wee-Chung Liew |
| 2019 | ICONIP | Evolving an Optimal Decision Template for Combining Classifiers. | Tien Thanh Nguyen, Anh Vu Luong, Manh Truong Dang, Lan Phuong Dao, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, John McCall |
| 2019 | ICONIP | A Novel Online Ensemble Convolutional Neural Networks for Streaming Data. | Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew |
| 2019 | PDCAT | Acceleration of Genetic Algorithm on GPU CUDA Platform. | Dylan Matthew Janssen, Alan Wee-Chung Liew |
| 2018 | ACIIDS | Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System. | Anh Vu Luong, Tien Thanh Nguyen, Xuan Cuong Pham, Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Bela Stantic |
| 2018 | Tencon | Weakly Supervised Video Object Segmentation. | Yufei Wang, Yongjiang Hu, Alan Wee-Chung Liew, Junhu Wang |
| 2018 | SSPR | An Efficient Method for Boundary Detection from Hyperspectral Imagery. | Suhad Lateef Al-Khafaji, Jun Zhou, Alan Wee-Chung Liew |
| 2017 | DICTA | Material Based Boundary Detection in Hyperspectral Images. | Suhad Lateef Al-khafaji, Ali Zia, Jun Zhou, Alan Wee-Chung Liew |
| 2017 | DICTA | Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. | Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao |
| 2017 | DICTA | A Novel Bayesian Framework for Online Imbalanced Learning. | Thi Thu Thuy Nguyen, Alan Wee-Chung Liew, Tien Thanh Nguyen, Shilin Wang |
| 2017 | DICTA | Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier. | Xuan Cuong Pham, Manh Truong Dang, Dinh Viet Sang, Son Hoang, Tien Thanh Nguyen, Alan Wee-Chung Liew |
| 2016 | DICTA | An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures. | Lihua Guo, Alan Wee-Chung Liew |
| 2016 | DICTA | Online-Offline Extreme Learning Machine with Concept Drift Tracking for Time Series Data. | Lihua Guo, Alan Wee-Chung Liew |
| 2016 | DICTA | Image Aesthetic Evaluation Using Parallel Deep Convolution Neural Network. | Lihua Guo, Fudi Li, Alan Wee-Chung Liew |
| 2016 | DICTA | A Novel Online Bayes Classifier. | Thi Thu Thuy Nguyen, Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Yongjian Hu, Tiancai Liang, Chang-Tsun Li |
| 2016 | IGARSS | CRF learning with CNN features for hyperspectral image segmentation. | Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia |
| 2015 | DICTA | A Multi-Kernel Local Level Set Image Segmentation Algorithm for Fluorescence Microscopy Images. | Amin Gharipour, Alan Wee-Chung Liew |
| 2015 | DICTA | Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering. | Amin Gharipour, Alan Wee-Chung Liew |
| 2015 | ICMLC | Biclustering analysis of gene expression data using multi-objective evolutionary algorithms. | Maryam Golchev, Seyed Hashem Davarpanah, Alan Wee-Chung Liew |
| 2015 | ICMLC | Colour-emotion association study on abstract art painting. | Cik Fazilah Hibadullah, Alan Wee-Chung Liew, Jun Jo |
| 2015 | IJCNN | Incorrect attribute value detection for traffic accident data. | Rupam Deb, Alan Wee-Chung Liew |
| 2015 | INISTA | Content based recommendation for HBB TV based on bayes conditional probability for multiple variables approach. | Alexandra Posoldova, Alan Wee-Chung Liew |
| 2014 | CEC | A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system. | Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Xuan Cuong Pham, Mai Phuong Nguyen |
| 2014 | ICMLC | Image Segmentation Based on Graph-Cut Models and Probabilistic Graphical Models: A Comparative Study. | Maedeh Beheshti, Alan Wee-Chung Liew |
| 2014 | ICMLC | Missing Value Imputation for the Analysis of Incomplete Traffic Accident Data. | Rupam Deb, Alan Wee-Chung Liew |
| 2014 | ICMLC | Optimization of ensemble classifier system based on multiple objectives genetic algorithm. | Tien Thanh Nguyen, Alan Wee-Chung Liew, Xuan Cuong Pham, Mai Phuong Nguyen |
| 2014 | ICMLC | Combining Classifiers Based on Gaussian Mixture Model Approach to Ensemble Data. | Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Mai Phuong Nguyen |
| 2014 | ICMLC | Fusion of Classifiers Based on a Novel 2-Stage Model. | Tien Thanh Nguyen, Alan Wee-Chung Liew, Minh Toan Tran, Thi Thu Thuy Nguyen, Mai Phuong Nguyen |
| 2014 | ICMLC | Fuzzy If-Then Rules Classifier on Ensemble Data. | Tien Thanh Nguyen, Alan Wee-Chung Liew, Cuong To, Xuan Cuong Pham, Mai Phuong Nguyen |
| 2014 | ICMLC | Genetic algorithm based detection of general linear biclusters. | Cuong To, Alan Wee-Chung Liew |
| 2014 | ICMLC | A Hough Transform-Based Biclustering Algorithm for Gene Expression Data. | Cuong To, Tien Thanh Nguyen, Alan Wee-Chung Liew |
| 2014 | PRICAI | A Correlation Based Imputation Method for Incomplete Traffic Accident Data. | Rupam Deb, Alan Wee-Chung Liew, Erwin Oh |
| 2013 | IBPRIA | Fractal Analysis for Symmetry Plane Detection in Neuroimages. | Surani Anuradha Jayasuriya, Alan Wee-Chung Liew |
| 2012 | ICMLC | Fractal dimension as a symmetry measure in 3D brain MRI analysis. | Surani Anuradha Jayasuriya, Alan Wee-Chung Liew |
| 2012 | ICPR | Image enhancement by wavelet multi-scale edge statistics. | Alan Wee-Chung Liew, Jun Jo, Yong-Sik Chun, Tae-Hong Ahn, Tae Byong Chae |
| 2009 | DICTA | Optimizing Sharpness Measure for Bright Lesion Detection in Retinal Image Analysis. | Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Liew |
| 2009 | SMC | Reliable Detection of Short Periodic Gene Expression Time Series Profiles in DNA Microarray Data. | Alan Wee-Chung Liew, Hong Yan |
| 2007 | APBC | A New Strategy of Geometrical Biclustering for Microarray Data Analysis. | Hongya Zhao, Alan Wee-Chung Liew, Hong Yan |
| 2007 | ICIP | Information-Based Color Feature Representation for Image Classification. | Shi-Lin Wang, Alan Wee-Chung Liew |
| 2006 | ICPR | Detecting Periodically Expressed Genes based on Time-frequency Analysis and L-curve Method. | Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan |
| 2006 | ICPR | Microarray Missing Data Imputation based on a Set Theoretic Framework and Biological Constraints. | Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan |
| 2005 | ISNN | OPTOC-Based Clustering Analysis of Gene Expression Profiles in Spectral Space. | Shuanhu Wu, Alan Wee-Chung Liew, Hong Yan |
| 2004 | APBC | Measuring Correlation between Microarray Time-series Data using Dominant Spectrum Component. | Lap Kun Yeung, Hong Yan, Alan Wee-Chung Liew, Lap Keung Szeto, Michael Yang, Richard Kong |
| 2004 | ICASSP | Image restoration based on constrained total least squares. | Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan |
| 2004 | ICASSP | Lip segmentation with the presence of beards. | Shi-Lin Wang, Wing Hong Lau, Shu Hung Leung, Alan Wee-Chung Liew |
| 2004 | ICPR | Missing Microarray Data Estimation Based on Projection onto Convex Sets Method. | Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan |
| 2004 | ICPR | Selection of Statistical Features Based on Mutual Information for Classification of Human Coding and Non-coding DNA Sequences. | Alan Wee-Chung Liew, Yonghui Wu, Hong Yan |
| 2004 | MMM | Lip-Sync in Human Face Animation Based on Video Analysis and Spline Models. | Sy-sen Tang, Alan Wee-Chung Liew, Hong Yan |
| 2003 | APBC | Gene Expression Data Clustering and Visualization Based on a Binary Heirarchical Clustering Framework. | Lap Keung Szeto, Alan Wee-Chung Liew, Hong Yan, Sy-sen Tang |
| 2001 | ICASSP | A new optimization procedure for extracting the point-based lip contour using active shape model. | K. L. Sum, Wing Hong Lau, S. H. Leung, Alan Wee-Chung Liew, K. W. Tse |
| 2001 | ICIP | Fast algorithm for binary field wavelet transform for image processing. | Ngai-Fong Law, Alan Wee-Chung Liew, Wan-Chi Siu |
| 2000 | ICIP | LIP Contour Extraction Using a Deformable Model. | Alan Wee-Chung Liew, Shu Hung Leung, Wing Hong Lau |
| 1999 | Interspeech | Fuzzy segmentation of lip image using cluster analysis. | Alan Wee-Chung Liew, K. L. Sum, S. H. Leung, Wing Hong Lau |