Compute Inclusion Depth of a Pattern. - Wei Luo 001 (COLT, 2005)

Learning Bayesian Networks in Semi-deterministic Systems. - Wei Luo 001 (Canadian AI, 2006)

Mind change efficient learning. - Wei Luo 001; Oliver Schulte (Inf. Comput., 2006)

Mind Change Optimal Learning of Bayes Net Structure. - Oliver Schulte; Wei Luo 001; Russell Greiner (COLT, 2007)

A new hybrid method for Bayesian network learning With dependency constraints. - Oliver Schulte; Gustavo Frigo; Russell Greiner; Wei Luo 001; Hassan Khosravi (CIDM, 2009)

Unsupervised DRG Upcoding Detection in Healthcare Databases. - Wei Luo 001; Marcus Gallagher (ICDM Workshops, 2010)

Mind change optimal learning of Bayes net structure from dependency and independency data. - Oliver Schulte; Wei Luo 001; Russell Greiner (Inf. Comput., 2010)

Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series. - Wei Luo 001; Marcus Gallagher (PAKDD (2), 2011)

An integrated framework for suicide risk prediction. - Truyen Tran 001; Dinh Q. Phung; Wei Luo 001; Richard Harvey 002; Michael Berk; Svetha Venkatesh (KDD, 2013)

Parameter-Free Search of Time-Series Discord. - Wei Luo 001; Marcus Gallagher; Janet Wiles (J. Comput. Sci. Technol., 2013)

Individualized arrhythmia detection with ECG signals from wearable devices. - Nguyen Thanh Binh 001; Wei Luo 001; Terry Caelli; Svetha Venkatesh; Dinh Q. Phung (DSAA, 2014)

Unsupervised inference of significant locations from WiFi data for understanding human dynamics. - Nguyen Thanh Binh 001; Nguyen Cong Thuong; Wei Luo 001; Svetha Venkatesh; Dinh Q. Phung (MUM, 2014)

iPoll: Automatic Polling Using Online Search. - Thin Nguyen; Dinh Q. Phung; Wei Luo 001; Truyen Tran 001; Svetha Venkatesh (WISE (1), 2014)

Detecting contaminated birthdates using generalized additive models. - Wei Luo 001; Marcus Gallagher; Bill Loveday; Susan Ballantyne; Jason P. Connor; Janet Wiles (BMC Bioinform., 2014)

A framework for feature extraction from hospital medical data with applications in risk prediction. - Truyen Tran 001; Wei Luo 001; Dinh Q. Phung; Sunil Gupta 001; Santu Rana; Richard Kennedy; Ann Larkins; Svetha Venkatesh (BMC Bioinform., 2014)

Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. - Dang Nguyen 002; Wei Luo 001; Dinh Q. Phung; Svetha Venkatesh (Australasian Conference on Artificial Intelligence, 2015)

Robust Traffic Classification with Mislabelled Training Samples. - Binfeng Wang; Jun Zhang 010; Zili Zhang 001; Wei Luo 001; Dawen Xia (ICPADS, 2015)

Stabilized sparse ordinal regression for medical risk stratification. - Truyen Tran 001; Dinh Q. Phung; Wei Luo 001; Svetha Venkatesh (Knowl. Inf. Syst., 2015)

Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. - Dang Nguyen 002; Wei Luo 001; Dinh Q. Phung; Svetha Venkatesh (Australasian Conference on Artificial Intelligence, 2016)

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. - Shivapratap Gopakumar; Truyen Tran 001; Wei Luo 001; Dinh Q. Phung; Svetha Venkatesh (ICHI, 2016)

Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data. - Truyen Tran 001; Wei Luo 001; Dinh Q. Phung; Jonathan Morris; Kristen Rickard; Svetha Venkatesh (MLHC, 2016)

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. - Cheng Li 003; Sunil Gupta 001; Santu Rana; Wei Luo 001; Svetha Venkatesh; David Ashely; Dinh Q. Phung (PAKDD (1), 2016)

Control Matching via Discharge Code Sequences. - Dang Nguyen 002; Wei Luo 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2016)

POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Yang Xiang 001 (CCS, 2017)

Batch Normalized Deep Boltzmann Machines. - Hung Vu; Tu Dinh Nguyen; Trung Le 001; Wei Luo 001; Dinh Q. Phung (ACML, 2018)

Keep Calm and Know Where to Focus: Measuring and Predicting the Impact of Android Malware. - Junyang Qiu; Wei Luo 001; Surya Nepal; Jun Zhang 010; Yang Xiang 001; Lei Pan 002 (ADMA, 2018)

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. - Dang Nguyen 002; Tu Dinh Nguyen; Wei Luo 001; Svetha Venkatesh (PAKDD (3), 2018)

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. - Dang Nguyen 002; Wei Luo 001; Tu Dinh Nguyen; Svetha Venkatesh; Dinh Q. Phung (ECML/PKDD (2), 2018)

Learning Graph Representation via Frequent Subgraphs. - Dang Nguyen 002; Wei Luo 001; Tu Dinh Nguyen; Svetha Venkatesh; Dinh Q. Phung (SDM, 2018)

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. - Dang Nguyen 002; Wei Luo 001; Svetha Venkatesh; Dinh Q. Phung (J. Medical Syst., 2018)

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. - Dang Nguyen 002; Wei Luo 001; Dinh Q. Phung; Svetha Venkatesh (Knowl. Based Syst., 2018)

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Yang Xiang 001; Olivier Y. de Vel; Paul Montague (IEEE Trans. Ind. Informatics, 2018)

Robust Anomaly Detection in Videos Using Multilevel Representations. - Hung Vu; Tu Dinh Nguyen; Trung Le 001; Wei Luo 001; Dinh Q. Phung (AAAI, 2019)

A Novel Video Emotion Recognition System in the Wild Using a Random Forest Classifier. - Najmeh Samadiani; Guangyan Huang; Wei Luo 001; Yanfeng Shu; Rui Wang 008; Tuba Kocaturk (ICDS, 2019)

Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities. - Xiaojuan Cheng; Wei Luo 001; Guojun Gan; Gang Li 009 (KSEM (1), 2019)

Data-Driven Android Malware Intelligence: A Survey. - Junyang Qiu; Surya Nepal; Wei Luo 001; Lei Pan 002; Yonghang Tai; Jun Zhang 010; Yang Xiang 001 (ML4CS, 2019)

Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning. - Xiaojuan Cheng; Wei Luo 001; Guojun Gan; Gang Li 009 (PRICAI (3), 2019)

Predicting the Impact of Android Malicious Samples via Machine Learning. - Junyang Qiu; Wei Luo 001; Lei Pan 002; Yonghang Tai; Jun Zhang 010; Yang Xiang 001 (IEEE Access, 2019)

A3CM: Automatic Capability Annotation for Android Malware. - Junyang Qiu; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Surya Nepal; Yu Wang 017; Yang Xiang 001 (IEEE Access, 2019)

Modelling Match Outcome in Australian Football: Improved accuracy with large databases. - C. Young; Wei Luo 001; Paul B. Gastin; Jacqueline Tran; Dan Dwyer (Int. J. Comput. Sci. Sport, 2019)

A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data. - Najmeh Samadiani; Guangyan Huang; Borui Cai; Wei Luo 001; Chi-Hung Chi; Yong Xiang 001; Jing He 004 (Sensors, 2019)

Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. - Wei Luo 001; Akib Mashrur; Antonio Robles-Kelly; Gang Li 009 (IJCNN, 2020)

Machine Learning for Financial Risk Management: A Survey. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (IEEE Access, 2020)

Succinct contrast sets via false positive controlling with an application in clinical process redesign. - Dang Nguyen 002; Wei Luo 001; Bay Vo; Witold Pedrycz (Expert Syst. Appl., 2020)

Gathering Intelligence on Student Information Behavior Using Data Mining. - Lei Pan 002; Nicholas Charles Patterson; Sophie McKenzie; Surtharshan Rajasegarar; Guy Wood-Bradley; Justin T. Rough; Wei Luo 001; Elicia Lanham; Jo Coldwell-Neilson (Libr. Trends, 2020)

MODEL: Motif-Based Deep Feature Learning for Link Prediction. - Lei Wang 134; Jing Ren 001; Bo Xu 008; Jianxin Li 001; Wei Luo 001; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Robust Neural Regression via Uncertainty Learning. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (IJCNN, 2021)

Microwave Link Failures Prediction via LSTM-based Feature Fusion Network. - Zichan Ruan; Shuiqiao Yang; Lei Pan 002; Xingjun Ma; Wei Luo 001; Marthie Grobler (IJCNN, 2021)

Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge. - Mingrong Xiang; Jingyu Hou 001; Wei Luo 001; Wenjing Tao; Deshou Wang (IJCNN, 2021)

Ultra-short term wholesale electricity price forecasting through deep learning. - Ana Alvarez; Wei Luo 001; Simon Fryer (ISGT Asia, 2021)

Distributed Optimization of Graph Convolutional Network using Subgraph Variance. - Taige Zhao; Xiangyu Song; Jianxin Li 001; Wei Luo 001; Imran Razzak (CoRR, 2021)

A Survey of Android Malware Detection with Deep Neural Models. - Junyang Qiu; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Surya Nepal; Yang Xiang 001 (ACM Comput. Surv., 2021)

Con2Vec: Learning embedding representations for contrast sets. - Dang Nguyen 002; Wei Luo 001; Bay Vo; Loan T. T. Nguyen; Witold Pedrycz (Knowl. Based Syst., 2021)

Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Olivier Y. de Vel; Paul Montague; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Attention-based Feature Fusion for Reconstructing Gene-Regulatory Interactions. - Mingrong Xiang; Wei Luo 001; Jingyu Hou 001; Wenjing Tao (DSAA, 2022)

Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble. - Jing Miao; Wei Luo 001; Nayyar Abbas Zaidi; Jinlong Wang (HPCC/DSS/SmartCity/DependSys, 2022)

A multiple feature fusion framework for video emotion recognition in the wild. - Najmeh Samadiani; Guangyan Huang; Wei Luo 001; Chi-Hung Chi; Yanfeng Shu; Rui Wang 008; Tuba Kocaturk (Concurr. Comput. Pract. Exp., 2022)

A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. - Adnan Ahmad; Wei Luo 001; Antonio Robles-Kelly (ADMA (2), 2023)

Bridging the Interpretability Gap in Coupled Neural Dynamical Models. - Mingrong Xiang; Wei Luo 001; Jingyu Hou 001; Wenjing Tao (ADMA (1), 2023)

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (DICTA, 2023)

Learning Stable Task-Level Manifold for Few-Shot Learning. - Siyi Yu; Wei Luo 001; Gang Li 009; Bo Yang 002 (DICTA, 2023)

Tackling Model Mismatch with Mixup Regulated Test-Time Training. - Bochao Zhang; Rui Shao 001; Jingda Du; Pong C. Yuen; Wei Luo 001 (DSAA, 2023)

Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? - Bing Liu; Wei Luo 001; Gang Li 009; Jing Huang 002; Bo Yang 002 (IJCAI, 2023)

Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. - Adnan Ahmad; Vinh Loi Chau; Antonio Robles-Kelly; Shang Gao 003; Longxiang Gao; Lianhua Chi; Wei Luo 001 (IJCNN, 2023)

Backdoor Attack on Deep Neural Networks in Perception Domain. - Xiaoxing Mo; Leo Yu Zhang; Nan Sun 002; Wei Luo 001; Shang Gao 003 (IJCNN, 2023)

Embracing the dropouts in single-cell RNA-seq dynamics modelling. - Mingrong Xiang; Wei Luo 001; Jingyu Hou 001; Wenjing Tao (IJCNN, 2023)

Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. - Adnan Ahmad; Wei Luo 001; Antonio Robles-Kelly (PAKDD (1), 2023)

Cyber Code Intelligence for Android Malware Detection. - Junyang Qiu; Qing-Long Han; Wei Luo 001; Lei Pan 002; Surya Nepal; Jun Zhang 010; Yang Xiang 001 (IEEE Trans. Cybern., 2023)

Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. - Adnan Ahmad; Wei Luo 001; Antonio Robles-Kelly (Mach. Learn., 2023)

Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. - Adnan Ahmad; Wei Luo 001; Antonio Robles-Kelly (Pattern Recognit., 2023)

Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. - Bo Xu 009; Longjiao Li; Wei Luo 001; Mehdi Naseriparsa; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (LREC/COLING, 2024)

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. - Linshan Hou; Ruili Feng; Zhongyun Hua; Wei Luo 001; Leo Yu Zhang; Yiming Li 004 (ICML, 2024)

ICPR 2024 Competition on Multi-line Mathematical Expressions Recognition. - Tianrui Zong; Lin Yang; Wei Luo 001; Wenhao Yu 013; Borui Cai; He Zhang 012; Fenghong Liu 002; Qinqin Yan; Liangcai Gao (ICPR (34), 2024)

Gold Price Forecasting in Uncertain Times: Integrating Sentiment Analysis and External Indices. - Dat Le; Sutharshan Rajasegarar; Wei Luo 001; Thanh Thi Nguyen; Maia Angelova (ISCMI, 2024)

Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. - Xiaoxing Mo; Yechao Zhang; Leo Yu Zhang; Wei Luo 001; Nan Sun 002; Shengshan Hu; Shang Gao 003; Yang Xiang 001 (SP, 2024)

Effective Individual Fairest Community Search over Heterogeneous Information Networks. - Taige Zhao; Jianxin Li 001; Ningning Cui; Wei Luo 001 (CoRR, 2024)

FLARE: Towards Universal Dataset Purification against Backdoor Attacks. - Linshan Hou; Wei Luo 001; Zhongyun Hua; Songhua Chen; Leo Yu Zhang; Yiming Li 004 (CoRR, 2024)

A consistency-aware deep capsule network for hierarchical multi-label image classification. - Khondaker Tasrif Noor; Antonio Robles-Kelly; Leo Yu Zhang; Mohamed Reda Bouadjenek; Wei Luo 001 (Neurocomputing, 2024)

Robust visual question answering via semantic cross modal augmentation. - Akib Mashrur; Wei Luo 001; Nayyar Abbas Zaidi; Antonio Robles-Kelly (Comput. Vis. Image Underst., 2024)

Distributed Optimization of Graph Convolutional Network Using Subgraph Variance. - Taige Zhao; Xiangyu Song; Man Li; Jianxin Li 001; Wei Luo 001; Imran Razzak (IEEE Trans. Neural Networks Learn. Syst., 2024)

Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks. - Xiaoxing Mo; Nan Sun 002; Leo Yu Zhang; Wei Luo 001; Shang Gao 003; Yong Xiang 001 (PAKDD (4), 2025)

Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset. - Yechao Zhang; Yuxuan Zhou; Tianyu Li; Minghui Li; Shengshan Hu; Wei Luo 001; Leo Yu Zhang (SP, 2025)

A survey of coverage-guided greybox fuzzing with deep neural models. - Junyang Qiu; Yupeng Jiang; Yuantian Miao; Wei Luo 001; Lei Pan 002; Xi Zheng 001 (Inf. Softw. Technol., 2025)

FixGuard: Repairing Backdoored Models via Class-Wise Trigger Recovery and Unlearning. - Linshan Hou; Zhongyun Hua; Wei Luo 001; Leo Yu Zhang (IEEE Signal Process. Lett., 2025)

FLARE: Toward Universal Dataset Purification Against Backdoor Attacks. - Linshan Hou; Wei Luo 001; Zhongyun Hua; Songhua Chen; Leo Yu Zhang; Yiming Li 004 (IEEE Trans. Inf. Forensics Secur., 2025)

Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets. - Yechao Zhang; Yuxuan Zhou; Tianyu Li; Minghui Li; Shengshan Hu; Wei Luo 001; Leo Yu Zhang (CoRR, 2025)

When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning. - Ruining Sun; Hongsheng Hu; Wei Luo 001; Zhaoxi Zhang; Yanjun Zhang; Haizhuan Yuan; Leo Yu Zhang (CoRR, 2025)

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks. - Xiaoxing Mo; Yuxuan Cheng; Nan Sun 002; Leo Yu Zhang; Wei Luo 001; Shang Gao 003 (CoRR, 2025)