Zhiyuan Luo

Orcid: 0000-0002-3336-3751

Affiliations:
  • University of London, Royal Holloway, Department of Computer Science, Egham, UK
  • Heriot-Watt University, Edinburgh, U.K. (PhD 1991)


According to our database1, Zhiyuan Luo authored at least 84 papers between 1990 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Review of Open Access WiFi Fingerprinting Datasets for Indoor Positioning.
IEEE Access, 2024

SwinTaste: Bimodal Biosignals Taste Sensation Recognition via Swin Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2024

Unlocking Viewer Insights in Linear Television: A Machine Learning Approach.
Proceedings of the Perspectives in Business Informatics Research, 2024

2023
WiFi round-trip time (RTT) fingerprinting: an analysis of the properties and the performance in non-line-of-sight environments.
J. Locat. Based Serv., October, 2023

Silent Speech Interface With Vocal Speaker Assistance Based on Convolution-Augmented Transformer.
IEEE Trans. Instrum. Meas., 2023

Basic Taste Sensation Recognition From EEG Based on Multiscale Convolutional Neural Network With Residual Learning.
IEEE Trans. Instrum. Meas., 2023

A Multi-Scale Feature Selection Framework for WiFi Access Points Line-of-sight Identification.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

A dynamic model switching algorithm for WiFi fingerprinting indoor positioning.
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Evaluating potential sensitive information leaks on a smartphone using the magnetometer and Conformal Prediction.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022
WiFi Access Points Line-of-Sight Detection for Indoor Positioning Using the Signal Round Trip Time.
Remote. Sens., December, 2022

CPSC: Conformal Prediction With Shrunken Centroids for Efficient Prediction Reliability Quantification and Data Augmentation, a Case in Alternative Herbal Medicine Classification With Electronic Nose.
IEEE Trans. Instrum. Meas., 2022

A survey of deep learning approaches for WiFi-based indoor positioning.
J. Inf. Telecommun., 2022

A novel Deep Learning approach for one-step Conformal Prediction approximation.
CoRR, 2022

Malware in Motion.
Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

Audio Feature Ranking for Sound-Based COVID-19 Patient Detection.
Proceedings of the Progress in Artificial Intelligence, 2022

Communication-efficient Conformal Prediction for Distributed Datasets.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Preface.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

2021
Speech neuromuscular decoding based on spectrogram images using conformal predictors with Bi-LSTM.
Neurocomputing, 2021

Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose.
CoRR, 2021

Preface.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020
Epidemic contact tracing with smartphone sensors.
J. Locat. Based Serv., 2020

Special Issue on Conformal and Probabilistic Prediction with Applications.
Neurocomputing, 2020

A review of smartphones based indoor positioning: challenges and applications.
CoRR, 2020

Coreset-Based Data Compression for Logistic Regression.
Proceedings of the Data Management Technologies and Applications, 2020

On Generating Efficient Data Summaries for Logistic Regression: A Coreset-based Approach.
Proceedings of the 9th International Conference on Data Science, 2020

Fast probabilistic prediction for kernel SVM via enclosing balls.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019
Discrimination of Different Species of Dendrobium with an Electronic Nose Using Aggregated Conformal Predictor.
Sensors, 2019

Realtime Tracking of Passengers on the London Underground Transport by Matching Smartphone Accelerometer Footprints.
Sensors, 2019

Coreset-based Conformal Prediction for Large-scale Learning.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Location Tracking Using Smartphone Accelerometer and Magnetometer Traces.
Proceedings of the 14th International Conference on Availability, Reliability and Security, 2019

2018
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis.
Proceedings of the Engineering Applications of Neural Networks, 2018

Cover your cough: detection of respiratory events with confidence using a smartwatch.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017
Conformal Prediction Based on K-Nearest Neighbors for Discrimination of Ginsengs by a Home-Made Electronic Nose.
Sensors, 2017

Dynamic route prediction with the magnetic field strength for indoor positioning.
Int. J. Wirel. Mob. Comput., 2017

Co-location epidemic tracking on London public transports using low power mobile magnetometer.
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

On assessing the positioning accuracy of Google Tango in challenging indoor environments.
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

2016
Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose.
Sensors, 2016

An experimental study of the intrinsic stability of random forest variable importance measures.
BMC Bioinform., 2016

IBC-C: A Dataset for Armed Conflict Analysis.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Multiprobabilistic prediction in early medical diagnoses.
Ann. Math. Artif. Intell., 2015

Reliable indoor location prediction using conformal prediction.
Ann. Math. Artif. Intell., 2015

A Comparison of Three Implementations of Multi-Label Conformal Prediction.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

2014
Selective mixture of Gaussians clustering for location fingerprinting.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction.
Proceedings of the Progress in Location-Based Services 2014, 2014

SVM Venn Machine with k-Means Clustering.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2013
Evaluation of Bluetooth Properties for Indoor Localisation.
Proceedings of the Progress in Location-Based Services, 2013

A Dibutyl Phthalate Sensor Based on a Nanofiber Polyaniline Coated Quartz Crystal Monitor.
Sensors, 2013

Artificial Intelligence Applications in Biomedicine.
Adv. Artif. Intell., 2013

Learning by Conformal Predictors with Additional Information.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Enhanced Conformal Predictors for Indoor Localisation Based on Fingerprinting Method.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

2012
Template Free Synthesis of Hollow Ball-Like Nano-Fe<sub>2</sub>O<sub>3</sub> and Its Application to the Detection of Dimethyl Methylphosphonate at Room Temperature.
Sensors, 2012

Conformal predictors in early diagnostics of ovarian and breast cancers.
Prog. Artif. Intell., 2012

Two methods for reliable classification of network traffic.
Prog. Artif. Intell., 2012

Multiprobabilistic Venn Predictors with Logistic Regression.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Conformal Prediction for Indoor Localisation with Fingerprinting Method.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2011
Time series prediction with performance guarantee.
IET Commun., 2011

A Comparison of Venn Machine with Platt's Method in Probabilistic Outputs.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Feature Selection by Conformal Predictor.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

2010
Study of a QCM Dimethyl Methylphosphonate Sensor Based on a ZnO-Modified Nanowire-Structured Manganese Dioxide Film.
Sensors, 2010

Electroantennogram Obtained from Honeybee Antennae for Odor Detection.
Proceedings of the Advances in Neural Networks, 2010

Application of Conformal Predictors to Tea Classification Based on Electronic Nose.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

2009
Reliable Probabilistic Classification of Internet Traffic.
Int. J. Inf. Acquis., 2009

Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer.
Comput. J., 2009

Prediction of Long-Range Dependent Time Series Data with Performance Guarantee.
Proceedings of the Stochastic Algorithms: Foundations and Applications, 2009

Predictions with Confidence in Applications.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2008
Recognition of hypoxia EEG with a preset confidence level based on EEG analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

Guaranteed Network Traffic Demand Prediction Using FARIMA Models.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Reliable Probabilistic Classification and Its Application to Internet Traffic.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Network Traffic Demand Prediction with Confidence.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

2006
Strangeness Minimisation Feature Selection with Confidence Machines.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Reliable classification of childhood acute leukaemia from gene expression data using confidence machines.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Gene Selection Using Wilcoxon Rank Sum Test and Support Vector Machine for Cancer Classification.
Proceedings of the Computational Intelligence and Security, International Conference, 2006

2005
Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines.
Int. J. Neural Syst., 2005

Qualified Probabilistic Predictions Using Graphical Models.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2000
Intelligent Agents for ATM Network Control and Resource Management: Experiences and Results from an Implementation on a Network Testbed.
J. Netw. Syst. Manag., 2000

1999
Multi-agent System for Network Resource Management.
Proceedings of the Intelligence in Services and Networks, 1999

Traffic Control and Resource Management Using a Multi-Agent System.
Proceedings of the Broadband Communications: Convergence of Network Technologies, 1999

1995
A Cost Bounded Possibilistic ATMS.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

1992
A probabilistic reasoning and learning system based on Bayesian belief networks.
PhD thesis, 1992

Probabilistic Reasoning in Mixed Models Using Bayesian Belief Networks And its Application.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1991
Press - A Probabilistic Reasoning Expert System Shell.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991

1990
STOSS - A Stochastic Simulation System for Bayesian Belief Networks.
Proceedings of the Uncertainty in Knowledge Bases, 1990


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