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ORCIDYu Guan 0001
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Other persons with the same name
- Yu Guan — disambiguation page
- Yu Guan 0002
![[0000-0003-0357-5646]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0357-5646")
- Yu Guan 0003
- Yu Guan 0004
- Yu Guan 0005
- Yu Guan 0006
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2020 – today
- 2025
[j25]Bing Zhai, Haoran Duan, Yu Guan, Huy Phan, Wai Lok Woo:
DSleepNet: Disentanglement Learning for Personal Attribute-Agnostic Three-Stage Sleep Classification Using Wearable Sensing Data. IEEE J. Biomed. Health Informatics 29(7): 4861-4872 (2025)- 2023
- [j24]Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre:
Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers. CCF Trans. Pervasive Comput. Interact. 5(2): 206-225 (2023) - [j23]Shuai Shao, Yu Guan, Bing Zhai, Paolo Missier, Thomas Plötz:
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 75:1-75:21 (2023) - [j22]Gemma L. Bate, Cameron Kirk, Rana Zia Ur Rehman, Yu Guan, Alison J. Yarnall, Silvia Del Din, Rachael A. Lawson:
The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review. Sensors 23(10): 4881 (2023) - [c26]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He:
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. FG 2023: 1-8 - [c25]Shuai Shan, Yu Guan, Xin Guan, Paolo Missier, Thomas Plötz:
On Training Strategies for LSTMs in Sensor-Based Human Activity Recognition. PerCom Workshops 2023: 653-658 - [i20]Shuai Shao, Yu Guan, Bing Zhai, Paolo Missier, Thomas Ploetz:
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition. CoRR abs/2305.13541 (2023) - 2022
- [j21]Jie Su, Zhenyu Wen, Tao Lin, Yu Guan:
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 28:1-28:19 (2022) - [c24]Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang:
Action Quality Assessment with Temporal Parsing Transformer. ECCV (4) 2022: 422-438 - [i19]Jie Su, Zhenyu Wen, Tao Lin, Yu Guan:
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition. CoRR abs/2202.07260 (2022) - [i18]Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang:
Action Quality Assessment with Temporal Parsing Transformer. CoRR abs/2207.09270 (2022) - [i17]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He:
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. CoRR abs/2208.09150 (2022) - [i16]Shuai Shao, Yu Guan, Xin Guan, Paolo Missier, Thomas Ploetz:
Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition. CoRR abs/2212.13918 (2022) - 2021
- [j20]Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Maciej Koutny, Rajiv Ranjan:
Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey. ACM Comput. Surv. 53(4): 82:1-82:47 (2021) - [j19]Bing Zhai, Yu Guan, Michael Catt, Thomas Plötz:
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 191:1-191:33 (2021) - [j18]Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao:
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. IEEE Trans. Geosci. Remote. Sens. 59(8): 6549-6561 (2021) - [c23]Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan:
Discriminative Latent Semantic Graph for Video Captioning. ACM Multimedia 2021: 3556-3564 - [c22]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding:
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. ACM Multimedia 2021: 4334-4342 - [i15]Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan:
Discriminative Latent Semantic Graph for Video Captioning. CoRR abs/2108.03662 (2021) - [i14]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding:
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. CoRR abs/2108.04536 (2021) - [i13]Bing Zhai, Yu Guan, Michael Catt, Thomas Ploetz:
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. CoRR abs/2111.10245 (2021) - 2020
- [j17]Yuan Zhou, Bingzhang Hu, Jun He, Yu Guan, Ling Shao:
Dual reference age synthesis. Neurocomputing 411: 164-177 (2020) - [j16]Bing Zhai, Ignacio Perez-Pozuelo, Emma A. D. Clifton, João R. M. Palotti, Yu Guan:
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. 4(2): 67:1-67:33 (2020) - [j15]Ignacio Perez-Pozuelo, Bing Zhai, João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Juan Miguel García-Gómez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque:
The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digit. Medicine 3 (2020) - [j14]Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din, Lisa Alcock, Clint Hansen, Yu Guan, Tibor Hortobágyi, Walter Maetzler, Lynn Rochester, Claudine J. C. Lamoth:
Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders. Sensors 20(23): 6992 (2020) - [j13]Shidong Wang, Yu Guan, Ling Shao:
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Trans. Image Process. 29: 5396-5407 (2020) - [c21]Yang Bai, Yu Guan, Wan-Fai Ng:
Fatigue assessment using ECG and actigraphy sensors. ISWC 2020: 12-16 - [c20]Junyan Wang, Yang Bai, Yang Long, Bingzhang Hu, Zhenhua Chai, Yu Guan, Xiaolin Wei:
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization. ACM Multimedia 2020: 4023-4031 - [i12]Yulong Gu, Yu Guan, Paolo Missier:
Efficient Rule Learning with Template Saturation for Knowledge Graph Completion. CoRR abs/2003.06071 (2020) - [i11]Shidong Wang, Yu Guan, Ling Shao:
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. CoRR abs/2004.04491 (2020) - [i10]Yulong Gu, Yu Guan, Paolo Missier:
Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs. CoRR abs/2006.16171 (2020) - [i9]Junyan Wang, Yang Bai, Yang Long, Bingzhang Hu, Zhenhua Chai, Yu Guan, Xiaolin Wei:
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization. CoRR abs/2008.08360 (2020) - [i8]Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre:
Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments. CoRR abs/2009.08798 (2020) - [i7]Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao:
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. CoRR abs/2011.05702 (2020)
2010 – 2019
- 2019
- [j12]Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Ploetz:
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 12:1-12:22 (2019) - [j11]Yang Long, Yu Guan, Ling Shao:
Generic compact representation through visual-semantic ambiguity removal. Pattern Recognit. Lett. 117: 186-192 (2019) - [j10]Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, Brook Galna, Sue Lord, Alison J. Yarnall, Yu Guan, Lynn Rochester:
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. Sensors 19(24): 5363 (2019) - [j9]Haofeng Zhang, Yang Long, Yu Guan, Ling Shao:
Triple Verification Network for Generalized Zero-Shot Learning. IEEE Trans. Image Process. 28(1): 506-517 (2019) - [c19]Junyan Wang, Bingzhang Hu, Yang Long, Yu Guan:
Order Matters: Shuffling Sequence Generation for Video Prediction. BMVC 2019: 275 - [c18]Shane Halloran, Lin Tang, Yu Guan, Jian Qing Shi, Janet A. Eyre:
Remote monitoring of stroke patients' rehabilitation using wearable accelerometers. UbiComp 2019: 72-77 - [i6]Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Ploetz:
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers. CoRR abs/1902.08068 (2019) - [i5]Junyan Wang, Bingzhang Hu, Yang Long, Yu Guan:
Order Matters: Shuffling Sequence Generation for Video Prediction. CoRR abs/1907.08845 (2019) - [i4]Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Rajiv Ranjan:
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey. CoRR abs/1910.05433 (2019) - 2018
- [j8]Thomas Plötz, Yu Guan:
Deep Learning for Human Activity Recognition in Mobile Computing. Computer 51(5): 50-59 (2018) - [j7]Ruizhe Li, Chang-Tsun Li, Yu Guan:
Inference of a compact representation of sensor fingerprint for source camera identification. Pattern Recognit. 74: 556-567 (2018) - [c17]Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao:
Towards Universal Representation for Unseen Action Recognition. CVPR 2018: 9436-9445 - [c16]Shane Halloran, Jian Qing Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, Janet A. Eyre:
Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables. eScience 2018: 302 - [c15]Xin Guan, Chang-Tsun Li, Yu Guan:
Active learning in multi-domain collaborative filtering recommender systems. SAC 2018: 1351-1357 - [i3]Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao:
Towards Universal Representation for Unseen Action Recognition. CoRR abs/1803.08460 (2018) - [i2]BingZhang Hu, Yan Gao, Yu Guan, Yang Long, Nicholas D. Lane, Thomas Ploetz:
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People. CoRR abs/1811.10493 (2018) - 2017
- [j6]Xin Guan, Chang-Tsun Li, Yu Guan:
Matrix Factorization With Rating Completion: An Enhanced SVD Model for Collaborative Filtering Recommender Systems. IEEE Access 5: 27668-27678 (2017) - [j5]Yu Guan, Thomas Plötz:
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 11:1-11:28 (2017) - [i1]Yu Guan, Thomas Ploetz:
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables. CoRR abs/1703.09370 (2017) - 2016
- [j4]Yaling Liang, Chang-Tsun Li, Yu Guan, Yongjian Hu:
Gait recognition based on the golden ratio. EURASIP J. Image Video Process. 2016: 22 (2016) - [c14]Xin Guan, Chang-Tsun Li, Yu Guan:
Enhanced SVD for Collaborative Filtering. PAKDD (2) 2016: 503-514 - 2015
- [j3]Yu Guan, Chang-Tsun Li, Fabio Roli:
On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1521-1528 (2015) - [c13]Ruizhe Li, Chang-Tsun Li, Yu Guan:
A compact representation of sensor fingerprint for camera identification and fingerprint matching. ICASSP 2015: 1777-1781 - [c12]Ruizhe Li, Chang-Tsun Li, Yu Guan:
Incremental update of feature extractor for camera identification. ICIP 2015: 324-328 - [c11]Ruizhe Li, Constantine Kotropoulos, Chang-Tsun Li, Yu Guan:
Random subspace method for source camera identification. MLSP 2015: 1-5 - 2014
- [j2]Yu Guan, Yunlian Sun, Chang-Tsun Li, Massimo Tistarelli:
Human gait identification from extremely low-quality videos: an enhanced classifier ensemble method. IET Biom. 3(2): 84-93 (2014) - [j1]Yu Guan, Xingjie Wei, Chang-Tsun Li:
On the Generalization Power of Face and Gait in Gender Recognition. Int. J. Digit. Crime Forensics 6(1): 1-8 (2014) - [c10]Yu Guan, Xingjie Wei, Chang-Tsun Li, Yosi Keller:
People Identification and Tracking Through Fusion of Facial and Gait Features. BIOMET 2014: 209-221 - [c9]Ruizhe Li, Yu Guan, Chang-Tsun Li:
PCA-based denoising of Sensor Pattern Noise for source camera identification. ChinaSIP 2014: 436-440 - [c8]Sruti Das Choudhury, Yu Guan, Chang-Tsun Li:
Gait recognition using low spatial and temporal resolution videos. IWBF 2014: 1-6 - [c7]Ruizhe Li, Chang-Tsun Li, Yu Guan:
A reference estimator based on composite sensor pattern noise for source device identification. Media Watermarking, Security, and Forensics 2014: 90280O - 2013
- [c6]Yu Guan, Xingjie Wei, Chang-Tsun Li, Gian Luca Marcialis, Fabio Roli, Massimo Tistarelli:
Combining gait and face for tackling the elapsed time challenges. BTAS 2013: 1-8 - [c5]Yu Guan, Chang-Tsun Li:
A robust speed-invariant gait recognition system for walker and runner identification. ICB 2013: 1-8 - [c4]Yu Guan, Chang-Tsun Li, Sruti Das Choudhury:
Robust gait recognition from extremely low frame-rate videos. IWBF 2013: 1-4 - 2012
- [c3]Yu Guan, Chang-Tsun Li, Yongjian Hu:
Random Subspace Method for Gait Recognition. ICME Workshops 2012: 284-289 - [c2]Yu Guan, Chang-Tsun Li, Yongjian Hu:
Robust Clothing-Invariant Gait Recognition. IIH-MSP 2012: 321-324 - [c1]Yu Guan, Chang-Tsun Li, Yongjian Hu:
An adaptive system for gait recognition in multi-view environments. MM&Sec 2012: 139-144
Coauthor Index
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