Yu Guan

Orcid: 0000-0002-1283-3806

According to our database1, Yu Guan authored at least 57 papers between 2012 and 2025.

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

Timeline

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Bibliography

2025
DSleepNet: Disentanglement Learning for Personal Attribute-Agnostic Three-Stage Sleep Classification Using Wearable Sensing Data.
IEEE J. Biomed. Health Informatics, July, 2025

2023
Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers.
CCF Trans. Pervasive Comput. Interact., June, 2023

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review.
Sensors, 2023

ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

On Training Strategies for LSTMs in Sensor-Based Human Activity Recognition.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition.
CoRR, 2022

Action Quality Assessment with Temporal Parsing Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization.
IEEE Trans. Geosci. Remote. Sens., 2021

Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey.
ACM Comput. Surv., 2021

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Discriminative Latent Semantic Graph for Video Captioning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification.
IEEE Trans. Image Process., 2020

Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.
Sensors, 2020

The future of sleep health: a data-driven revolution in sleep science and medicine.
npj Digit. Medicine, 2020

Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Dual reference age synthesis.
Neurocomputing, 2020

Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments.
CoRR, 2020

Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs.
CoRR, 2020

Efficient Rule Learning with Template Saturation for Knowledge Graph Completion.
CoRR, 2020

Query Twice: Dual Mixture Attention Meta Learning for Video Summarization.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Fatigue assessment using ECG and actigraphy sensors.
Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

2019
Triple Verification Network for Generalized Zero-Shot Learning.
IEEE Trans. Image Process., 2019

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.
Sensors, 2019

Generic compact representation through visual-semantic ambiguity removal.
Pattern Recognit. Lett., 2019

Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey.
CoRR, 2019

Remote monitoring of stroke patients' rehabilitation using wearable accelerometers.
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

Order Matters: Shuffling Sequence Generation for Video Prediction.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Inference of a compact representation of sensor fingerprint for source camera identification.
Pattern Recognit., 2018

Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People.
CoRR, 2018

Deep Learning for Human Activity Recognition in Mobile Computing.
Computer, 2018

Active learning in multi-domain collaborative filtering recommender systems.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Towards Universal Representation for Unseen Action Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Matrix Factorization With Rating Completion: An Enhanced SVD Model for Collaborative Filtering Recommender Systems.
IEEE Access, 2017

2016
Gait recognition based on the golden ratio.
EURASIP J. Image Video Process., 2016

Enhanced SVD for Collaborative Filtering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015
On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Random subspace method for source camera identification.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Incremental update of feature extractor for camera identification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A compact representation of sensor fingerprint for camera identification and fingerprint matching.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
On the Generalization Power of Face and Gait in Gender Recognition.
Int. J. Digit. Crime Forensics, 2014

Human gait identification from extremely low-quality videos: an enhanced classifier ensemble method.
IET Biom., 2014

A reference estimator based on composite sensor pattern noise for source device identification.
Proceedings of the Media Watermarking, 2014

Gait recognition using low spatial and temporal resolution videos.
Proceedings of the 2nd International Workshop on Biometrics and Forensics, 2014

PCA-based denoising of Sensor Pattern Noise for source camera identification.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

People Identification and Tracking Through Fusion of Facial and Gait Features.
Proceedings of the Biometric Authentication - First International Workshop, 2014

2013
Robust gait recognition from extremely low frame-rate videos.
Proceedings of the 1st International Workshop on Biometrics and Forensics, 2013

A robust speed-invariant gait recognition system for walker and runner identification.
Proceedings of the International Conference on Biometrics, 2013

Combining gait and face for tackling the elapsed time challenges.
Proceedings of the IEEE Sixth International Conference on Biometrics: Theory, 2013

2012
An adaptive system for gait recognition in multi-view environments.
Proceedings of the Multimedia and Security Workshop, 2012

Robust Clothing-Invariant Gait Recognition.
Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012

Random Subspace Method for Gait Recognition.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012


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