Bing Zhai
Dr Haoran Duan
Dr Yu Guan
Dr Wai Lok Woo
| DSleepNet: Disentanglement Learning for Personal Attribute-agnostic Three-stage Sleep Classification Using Wearable Sensing Data | 2025 |
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Gemma Bate
Dr Cameron Kirk
Dr Rana Rehman
Dr Yu Guan
Professor Alison Yarnall
et al. | The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review | 2023 |
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Dr Rana Rehman
Dr Yu Guan
Dr Jian Shi
Dr Lisa Alcock
Professor Alison Yarnall
et al. | Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning | 2022 |
|
Dr Jie Su
Dr Zhenyu Wen
Dr Yu Guan
| Learning disentangled behaviour patterns for wearable-based human activity recognition | 2022 |
|
Dr Anna Basu
Janice Pearse
Dan Jackson
Grace Edmonds
Dr Yu Guan
et al. | Wrist-Worn Devices to Encourage Affected Upper Limb Movement in Unilateral Cerebral Palsy: Participatory Design Workshops | 2022 |
|
Yang Bai
Dr Yu Guan
| Discriminative Latent Semantic Graph for Video Captioning | 2021 |
|
Dr Shidong Wang
Dr Yu Guan
| Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization | 2021 |
|
Dr Bing Zhai
Dr Yu Guan
Dan Jackson
| Patient-centred measurement of recovery from day-case surgery using wrist worn accelerometers: a pilot and feasibility study | 2021 |
|
Dr Bing Zhai
Dr Yu Guan
Professor Mike Catt
| Ubi-sleepnet: Advanced multimodal fusion techniques for three-stage sleep classification using ubiquitous sensing | 2021 |
|
Dr Bingzhang Hu
Dr Yu Guan
| Dual reference age synthesis | 2020 |
|
Dr Lin Tang
Shane Halloran
Dr Jian Shi
Dr Yu Guan
Dr Chunzheng Cao
et al. | Evaluating upper limb function after stroke using the free-living accelerometer data | 2020 |
|
Dr Rana Rehman
Dr Silvia Del Din
Dr Lisa Alcock
Dr Yu Guan
Professor Lynn Rochester
et al. | Gait Analysis with Wearables can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders | 2020 |
|
Dr Bing Zhai
Dr Yu Guan
| Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing | 2020 |
|
Dr Shidong Wang
Dr Yu Guan
| Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification | 2020 |
|
Dr Bin Qian
Dr Jie Su
Dr Zhenyu Wen
Devki Jha
Yinhao Li
et al. | Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey | 2020 |
|
Dr Jiabin Wang
Dr Bingzhang Hu
Dr Yang Long
Dr Yu Guan
| Order matters: Shuffling sequence generation for video prediction | 2020 |
|
Grace Edmonds
Dan Jackson
Dr Yu Guan
Gladys -
| Wrist-worn devices to improve arm movement in hemiplegic cerebral palsy: participatory design workshops | 2020 |
|
Dr Rana Rehman
Dr Silvia Del Din
Dr Jian Shi
Dr Brook Galna
Professor Alison Yarnall
et al. | Comparison of walking protocols and gait assessment systems for machine learning based classification of Parkinson’s disease | 2019 |
|
Dr Bing Zhai
Dr Kyle Montague
Dr Yu Guan
Professor Patrick Olivier
| Co-sleep: Designing a workplace-based wellness program for sleep deprivation | 2019 |
|
Dr Yang Long
Dr Yu Guan
| Generic compact representation through visual-semantic ambiguity removal | 2019 |
|
Dr Rana Rehman
Dr Silvia Del Din
Dr Yu Guan
Professor Alison Yarnall
Dr Jian Shi
et al. | Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach | 2019 |
|
Dr Jessica Baggaley Clay
Dr Yang Long
Dr Yu Guan
Dr Anna Basu
Jess Baggaley
et al. | Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers | 2019 |
|
Dr Yu Guan
| Active learning in multi-domain collaborative filtering recommender systems | 2018 |
|
Dr Thomas Ploetz
Dr Yu Guan
| Deep Learning for Human Activity Recognition in Mobile Computing | 2018 |
|
Dr Yu Guan
| Inference of a compact representation of sensor fingerprint for source camera identification | 2018 |
|
Mario Parreño Centeno
Dr Yu Guan
Professor Aad van Moorsel
| Mobile based continuous authentication using deep features | 2018 |
|
Shane Halloran
Dr Jian Shi
Dr Yu Guan
Xi Chen
Michael Dunne-Willows
et al. | Remote cloud-based automated stroke rehabilitation assessment using wearables | 2018 |
|
Dr Yang Long
Dr Yu Guan
| Triple Verification Network for Generalised Zero-shot Learning | 2018 |
|
Dr Yu Guan
Dr Thomas Ploetz
| Ensembles of deep LSTM Learners for Activity Recognition using Wearables | 2017 |
|
Dr Yu Guan
| Matrix Factorization with Rating Completion: an Enhanced SVD Model for Collaborative Filtering Recommender Systems | 2017 |
|
Dr Yu Guan
| Enhanced SVD for Collaborative Filtering | 2016 |
|
Dr Yu Guan
| On Reducing the effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method | 2015 |
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