Wei Luo

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Topics

Dynamical Models

Top Venues

Publications

Taige Zhao, Xiangyu Song, Man Li, Jianxin Li, Wei Luo, Imran Razzak
Distributed Optimization of Graph Convolutional Network Using Subgraph Variance. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. CoRR (2024)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust visual question answering via semantic cross modal augmentation. Comput. Vis. Image Underst. 238 (2024)
Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao
Embracing the dropouts in single-cell RNA-seq dynamics modelling. IJCNN (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. Mach. Learn. 112 (2) (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. ADMA (2) (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. PAKDD (1) (2023)
Xiaoxing Mo, Leo Yu Zhang, Nan Sun, Wei Luo, Shang Gao
Backdoor Attack on Deep Neural Networks in Perception Domain. IJCNN (2023)
Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. CoRR (2023)
Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao
Bridging the Interpretability Gap in Coupled Neural Dynamical Models. ADMA (1) (2023)
Junyang Qiu, Qing-Long Han, Wei Luo, Lei Pan, Surya Nepal, Jun Zhang, Yang Xiang
Cyber Code Intelligence for Android Malware Detection. IEEE Trans. Cybern. 53 (1) (2023)
Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. IJCNN (2023)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. DICTA (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. Pattern Recognit. 141 (2023)
Jing Miao, Wei Luo, Nayyar Abbas Zaidi, Jinlong Wang
Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble. HPCC/DSS/SmartCity/DependSys (2022)
Najmeh Samadiani, Guangyan Huang, Wei Luo, Chi-Hung Chi, Yanfeng Shu, Rui Wang, Tuba Kocaturk
A multiple feature fusion framework for video emotion recognition in the wild. Concurr. Comput. Pract. Exp. 34 (8) (2022)
Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao
Attention-based Feature Fusion for Reconstructing Gene-Regulatory Interactions. DSAA (2022)
Mingrong Xiang, Jingyu Hou, Wei Luo, Wenjing Tao, Deshou Wang
Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge. IJCNN (2021)
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang
Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust Neural Regression via Uncertainty Learning. CoRR (2021)
Dang Nguyen, Wei Luo, Bay Vo, Loan T. T. Nguyen, Witold Pedrycz
Con2Vec: Learning embedding representations for contrast sets. Knowl. Based Syst. 229 (2021)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust Neural Regression via Uncertainty Learning. IJCNN (2021)
Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler
Microwave Link Failures Prediction via LSTM-based Feature Fusion Network. IJCNN (2021)
Junyang Qiu, Jun Zhang, Wei Luo, Lei Pan, Surya Nepal, Yang Xiang
A Survey of Android Malware Detection with Deep Neural Models. ACM Comput. Surv. 53 (6) (2021)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Machine Learning for Financial Risk Management: A Survey. IEEE Access 8 (2020)
Lei Pan, Nicholas Charles Patterson, Sophie McKenzie, Surtharshan Rajasegarar, Guy Wood-Bradley, Justin T. Rough, Wei Luo, Elicia Lanham, Jo Coldwell-Neilson
Gathering Intelligence on Student Information Behavior Using Data Mining. Libr. Trends 68 (4) (2020)
Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz
Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. 161 (2020)
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Trans. Comput. Soc. Syst. 7 (2) (2020)
Wei Luo, Akib Mashrur, Antonio Robles-Kelly, Gang Li
Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. IJCNN (2020)
Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li
Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities. KSEM (1) (2019)
Najmeh Samadiani, Guangyan Huang, Borui Cai, Wei Luo, Chi-Hung Chi, Yong Xiang, Jing He
A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data. Sensors 19 (8) (2019)
Junyang Qiu, Wei Luo, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang
Predicting the Impact of Android Malicious Samples via Machine Learning. IEEE Access 7 (2019)
Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li
Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning. PRICAI (3) (2019)
Junyang Qiu, Surya Nepal, Wei Luo, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang
Data-Driven Android Malware Intelligence: A Survey. ML4CS (2019)
C. Young, Wei Luo, Paul B. Gastin, J. Tran, Dan Dwyer
Modelling Match Outcome in Australian Football: Improved accuracy with large databases. Int. J. Comput. Sci. Sport 18 (1) (2019)
Najmeh Samadiani, Guangyan Huang, Wei Luo, Yanfeng Shu, Rui Wang, Tuba Kocaturk
A Novel Video Emotion Recognition System in the Wild Using a Random Forest Classifier. ICDS (2019)
Junyang Qiu, Jun Zhang, Wei Luo, Lei Pan, Surya Nepal, Yu Wang, Yang Xiang
A3CM: Automatic Capability Annotation for Android Malware. IEEE Access 7 (2019)
Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh
Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. PAKDD (3) (2018)
Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. J. Medical Syst. 42 (5) (2018)
Junyang Qiu, Wei Luo, Surya Nepal, Jun Zhang, Yang Xiang, Lei Pan
Keep Calm and Know Where to Focus: Measuring and Predicting the Impact of Android Malware. ADMA (2018)
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague
Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. IEEE Trans. Ind. Informatics 14 (7) (2018)
Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. ECML/PKDD (2) (2018)
Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. Knowl. Based Syst. 161 (2018)
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang
POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects. CCS (2017)
Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. Australasian Conference on Artificial Intelligence (2016)
Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. ICHI (2016)
Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung
Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. PAKDD (1) (2016)
Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. Australasian Conference on Artificial Intelligence (2015)
Binfeng Wang, Jun Zhang, Zili Zhang, Wei Luo, Dawen Xia
Robust Traffic Classification with Mislabelled Training Samples. ICPADS (2015)
Truyen Tran, Dinh Q. Phung, Wei Luo, Svetha Venkatesh
Stabilized sparse ordinal regression for medical risk stratification. Knowl. Inf. Syst. 43 (3) (2015)
Thanh-Binh Nguyen, Wei Luo, Terry Caelli, Svetha Venkatesh, Dinh Q. Phung
Individualized arrhythmia detection with ECG signals from wearable devices. DSAA (2014)
Truyen Tran, Wei Luo, Dinh Q. Phung, Sunil Gupta, Santu Rana, Richard Kennedy, Ann Larkins, Svetha Venkatesh
A framework for feature extraction from hospital medical data with applications in risk prediction. BMC Bioinform. 15 (2014)
Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh
iPoll: Automatic Polling Using Online Search. WISE (1) (2014)
Thanh-Binh Nguyen, Nguyen Cong Thuong, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
Unsupervised inference of significant locations from WiFi data for understanding human dynamics. MUM (2014)
Wei Luo, Marcus Gallagher, Bill Loveday, Susan Ballantyne, Jason P. Connor, Janet Wiles
Detecting contaminated birthdates using generalized additive models. BMC Bioinform. 15 (2014)
Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh
An integrated framework for suicide risk prediction. KDD (2013)
Wei Luo, Marcus Gallagher, Janet Wiles
Parameter-Free Search of Time-Series Discord. J. Comput. Sci. Technol. 28 (2) (2013)
Wei Luo, Marcus Gallagher
Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series. PAKDD (2) (2011)
Oliver Schulte, Wei Luo, Russell Greiner
Mind change optimal learning of Bayes net structure from dependency and independency data. Inf. Comput. 208 (1) (2010)
Wei Luo, Marcus Gallagher
Unsupervised DRG Upcoding Detection in Healthcare Databases. ICDM Workshops (2010)
Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi
A new hybrid method for Bayesian network learning With dependency constraints. CIDM (2009)
Oliver Schulte, Wei Luo, Russell Greiner
Mind Change Optimal Learning of Bayes Net Structure. COLT (2007)
Wei Luo, Oliver Schulte
Mind change efficient learning. Inf. Comput. 204 (6) (2006)
Wei Luo, Oliver Schulte
Mind Change Efficient Learning. COLT (2005)