Wei Luo

According to our database, Wei Luo authored at least 76 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Distributed Optimization of Graph Convolutional Network Using Subgraph Variance.

Taige Zhao, Xiangyu Song, Man Li, Jianxin Li, Wei Luo, Imran Razzak

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Robust visual question answering via semantic cross modal augmentation.

Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly

Comput. Vis. Image Underst., January, 2024

Effective Individual Fairest Community Search over Heterogeneous Information Networks.

Taige Zhao, Jianxin Li, Ningning Cui, Wei Luo

CoRR, 2024

Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics.

Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency.

Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling.

Bo Xu, Longjiao Li, Wei Luo, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Robust federated learning under statistical heterogeneity via Hessian spectral decomposition.

Adnan Ahmad, Wei Luo, Antonio Robles-Kelly

Pattern Recognit., September, 2023

Robust federated learning under statistical heterogeneity via hessian-weighted aggregation.

Adnan Ahmad, Wei Luo, Antonio Robles-Kelly

Mach. Learn., February, 2023

Cyber Code Intelligence for Android Malware Detection.

Junyang Qiu, Qing-Long Han, Wei Luo, Lei Pan, Surya Nepal, Jun Zhang, Yang Xiang

IEEE Trans. Cybern., 2023

Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds.

Adnan Ahmad, Wei Luo, Antonio Robles-Kelly

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Embracing the dropouts in single-cell RNA-seq dynamics modelling.

Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao

Proceedings of the International Joint Conference on Neural Networks, 2023

Backdoor Attack on Deep Neural Networks in Perception Domain.

Xiaoxing Mo, Leo Yu Zhang, Nan Sun, Wei Luo, Shang Gao

Proceedings of the International Joint Conference on Neural Networks, 2023

Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning.

Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo

Proceedings of the International Joint Conference on Neural Networks, 2023

Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?

Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Tackling Model Mismatch with Mixup Regulated Test-Time Training.

Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen, Wei Luo

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Learning Stable Task-Level Manifold for Few-Shot Learning.

Siyi Yu, Wei Luo, Gang Li, Bo Yang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles.

Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Bridging the Interpretability Gap in Coupled Neural Dynamical Models.

Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity.

Adnan Ahmad, Wei Luo, Antonio Robles-Kelly

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

A multiple feature fusion framework for video emotion recognition in the wild.

Najmeh Samadiani, Guangyan Huang, Wei Luo, Chi-Hung Chi, Yanfeng Shu, Rui Wang, Tuba Kocaturk

Concurr. Comput. Pract. Exp., 2022

Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble.

Jing Miao, Wei Luo, Nayyar Abbas Zaidi, Jinlong Wang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Attention-based Feature Fusion for Reconstructing Gene-Regulatory Interactions.

Mingrong Xiang, Wei Luo, Jingyu Hou, Wenjing Tao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang

IEEE Trans. Dependable Secur. Comput., 2021

Con2Vec: Learning embedding representations for contrast sets.

Dang Nguyen, Wei Luo, Bay Vo, Loan T. T. Nguyen, Witold Pedrycz

Knowl. Based Syst., 2021

A Survey of Android Malware Detection with Deep Neural Models.

Junyang Qiu, Jun Zhang, Wei Luo, Lei Pan, Surya Nepal, Yang Xiang

ACM Comput. Surv., 2021

Distributed Optimization of Graph Convolutional Network using Subgraph Variance.

Taige Zhao, Xiangyu Song, Jianxin Li, Wei Luo, Imran Razzak

CoRR, 2021

Ultra-short term wholesale electricity price forecasting through deep learning.

Ana Alvarez, Wei Luo, Simon Fryer

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge.

Mingrong Xiang, Jingyu Hou, Wei Luo, Wenjing Tao, Deshou Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

Microwave Link Failures Prediction via LSTM-based Feature Fusion Network.

Zichan Ruan, Shuiqiao Yang, Lei Pan, Xingjun Ma, Wei Luo, Marthie Grobler

Proceedings of the International Joint Conference on Neural Networks, 2021

Robust Neural Regression via Uncertainty Learning.

Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

MODEL: Motif-Based Deep Feature Learning for Link Prediction.

Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia

IEEE Trans. Comput. Soc. Syst., 2020

Gathering Intelligence on Student Information Behavior Using Data Mining.

Lei Pan, Nicholas Charles Patterson, Sophie McKenzie, Surtharshan Rajasegarar, Guy Wood-Bradley, Justin T. Rough, Wei Luo, Elicia Lanham, Jo Coldwell-Neilson

Libr. Trends, 2020

Succinct contrast sets via false positive controlling with an application in clinical process redesign.

Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz

Expert Syst. Appl., 2020

Machine Learning for Financial Risk Management: A Survey.

Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly

IEEE Access, 2020

Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk.

Wei Luo, Akib Mashrur, Antonio Robles-Kelly, Gang Li

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data.

Najmeh Samadiani, Guangyan Huang, Borui Cai, Wei Luo, Chi-Hung Chi, Yong Xiang, Jing He

Sensors, 2019

Modelling Match Outcome in Australian Football: Improved accuracy with large databases.

C. Young, Wei Luo, Paul B. Gastin, Jacqueline Tran, Dan Dwyer

Int. J. Comput. Sci. Sport, 2019

A3CM: Automatic Capability Annotation for Android Malware.

Junyang Qiu, Jun Zhang, Wei Luo, Lei Pan, Surya Nepal, Yu Wang, Yang Xiang

IEEE Access, 2019

Predicting the Impact of Android Malicious Samples via Machine Learning.

Junyang Qiu, Wei Luo, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang

IEEE Access, 2019

Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning.

Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Data-Driven Android Malware Intelligence: A Survey.

Junyang Qiu, Surya Nepal, Wei Luo, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang

Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019

Deep Neighbor Embedding for Evaluation of Large Portfolios of Variable Annuities.

Xiaojuan Cheng, Wei Luo, Guojun Gan, Gang Li

Proceedings of the Knowledge Science, Engineering and Management, 2019

A Novel Video Emotion Recognition System in the Wild Using a Random Forest Classifier.

Najmeh Samadiani, Guangyan Huang, Wei Luo, Yanfeng Shu, Rui Wang, Tuba Kocaturk

Proceedings of the Data Science - 6th International Conference, 2019

Robust Anomaly Detection in Videos Using Multilevel Representations.

Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague

IEEE Trans. Ind. Informatics, 2018

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

Knowl. Based Syst., 2018

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.

Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung

J. Medical Syst., 2018

Learning Graph Representation via Frequent Subgraphs.

Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint.

Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets.

Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Keep Calm and Know Where to Focus: Measuring and Predicting the Impact of Android Malware.

Junyang Qiu, Wei Luo, Surya Nepal, Jun Zhang, Yang Xiang, Lei Pan

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

Batch Normalized Deep Boltzmann Machines.

Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Control Matching via Discharge Code Sequences.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

CoRR, 2016

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework.

Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data.

Truyen Tran, Wei Luo, Dinh Q. Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh

Proceedings of the 1st Machine Learning in Health Care, 2016

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data.

Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

Stabilized sparse ordinal regression for medical risk stratification.

Truyen Tran, Dinh Q. Phung, Wei Luo, Svetha Venkatesh

Knowl. Inf. Syst., 2015

Robust Traffic Classification with Mislabelled Training Samples.

Binfeng Wang, Jun Zhang, Zili Zhang, Wei Luo, Dawen Xia

Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach.

Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014

A framework for feature extraction from hospital medical data with applications in risk prediction.

Truyen Tran, Wei Luo, Dinh Q. Phung, Sunil Gupta, Santu Rana, Richard Kennedy, Ann Larkins, Svetha Venkatesh

BMC Bioinform., 2014

Detecting contaminated birthdates using generalized additive models.

Wei Luo, Marcus Gallagher, Bill Loveday, Susan Ballantyne, Jason P. Connor, Janet Wiles

BMC Bioinform., 2014

iPoll: Automatic Polling Using Online Search.

Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Unsupervised inference of significant locations from WiFi data for understanding human dynamics.

Nguyen Thanh Binh, Nguyen Cong Thuong, Wei Luo, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

Individualized arrhythmia detection with ECG signals from wearable devices.

Thanh-Binh Nguyen, Wei Luo, Terry Caelli, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Parameter-Free Search of Time-Series Discord.

Wei Luo, Marcus Gallagher, Janet Wiles

J. Comput. Sci. Technol., 2013

An integrated framework for suicide risk prediction.

Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2011

Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series.

Wei Luo, Marcus Gallagher

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2010

Mind change optimal learning of Bayes net structure from dependency and independency data.

Oliver Schulte, Wei Luo, Russell Greiner

Inf. Comput., 2010

Unsupervised DRG Upcoding Detection in Healthcare Databases.

Wei Luo, Marcus Gallagher

Proceedings of the ICDMW 2010, 2010

2009

A new hybrid method for Bayesian network learning With dependency constraints.

Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2007

Mind Change Optimal Learning of Bayes Net Structure.

Oliver Schulte, Wei Luo, Russell Greiner

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

Mind change efficient learning.

Wei Luo, Oliver Schulte

Inf. Comput., 2006

Learning Bayesian Networks in Semi-deterministic Systems.

Wei Luo

Proceedings of the Advances in Artificial Intelligence, 2006

2005

Compute Inclusion Depth of a Pattern.

Wei Luo

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005