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ORCIDJing Liao 0003
Person information
- affiliation: University of Strathclyde, Glasgow, UK
- affiliation (Ph.D.): University of Ulster, Jordanstown, UK
Other persons with the same name
- Jing Liao 0001
![[0000-0001-7014-5377]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7014-5377")
— City University of Hong Kong, Hong Kong (and 3 more) - Jing Liao 0002 — Zhejiang University, Department of Computer Science and Technology, Hangzhou, China (and 1 more)
- Jing Liao 0004 — Hunan University of Science and Technology, Xiangtan, China
- Jing Liao 0005 — Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland, UK
- Jing Liao 0006 — Chongqing Jinshan Science & Technology (Group) Co., Ltd., China
- Jing Liao 0007 — Southwest University of Science and Technology, School of Computer Science and Technology, Mianyang, China
- Jing Liao 0008 — Shenzhen University, College of Computer Science and Software Engineering, China
- Jing Liao 0009 — Chongqing University, College of Economics and Business Administration, China
- Jing Liao 0010 — Fujian Normal University, Concord University College, Fuzhou, China
- Jing Liao 0011 — Wuhan University of Technology, School of Computer Science and Technology, China
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2010 – 2019
- 2018
[j2]Kanghang He, Lina Stankovic, Jing Liao, Vladimir Stankovic:
Non-Intrusive Load Disaggregation Using Graph Signal Processing. IEEE Trans. Smart Grid 9(3): 1739-1747 (2018)- 2014
- [c9]Hana Altrabalsi, Jing Liao, Lina Stankovic, Vladimir Stankovic:
A low-complexity energy disaggregation method: Performance and robustness. CIASG 2014: 173-180 - [c8]Vladimir Stankovic, Jing Liao, Lina Stankovic:
A graph-based signal processing approach for low-rate energy disaggregation. CIES 2014: 81-87 - [c7]Jing Liao, Lina Stankovic, Vladimir Stankovic:
Detecting Household Activity Patterns from Smart Meter Data. Intelligent Environments 2014: 71-78 - [c6]Jing Liao, Georgia Elafoudi, Lina Stankovic, Vladimir Stankovic:
Non-intrusive appliance load monitoring using low-resolution smart meter data. SmartGridComm 2014: 535-540 - 2012
- [c5]Yaxin Bi, Chris D. Nugent, Jing Liao:
An Evidential Framework for Associating Sensors to Activities for Activity Recognition in Smart Homes. IPMU (3) 2012: 564-574 - 2011
- [j1]Jing Liao, Yaxin Bi, Chris D. Nugent:
Using the Dempster-Shafer Theory of Evidence With a Revised Lattice Structure for Activity Recognition. IEEE Trans. Inf. Technol. Biomed. 15(1): 74-82 (2011) - [c4]Jing Liao, Yaxin Bi, Chris D. Nugent:
A Weight Factor Algorithm for Activity Recognition Utilizing a Lattice-Based Reasoning Structure. ICTAI 2011: 906-907 - [c3]Jing Liao, Yaxin Bi, Chris D. Nugent:
Weight Factor Algorithms for Activity Recognition in Lattice-Based Sensor Fusion. KSEM 2011: 365-376 - 2010
- [c2]Jing Liao, Yaxin Bi, Chris D. Nugent:
Activity Recognition for Smart Homes Using Dempster-Shafer Theory of Evidence Based on a Revised Lattice Structure. Intelligent Environments 2010: 46-51 - [c1]Jing Liao, Yaxin Bi, Chris D. Nugent:
Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure. KSEM 2010: 186-197
Coauthor Index
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