Lei Fang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 8

Top Venues

SASO

IEEE Trans. Knowl. Data Eng.

Pervasive Mob. Comput.

MobiHealth

University of St Andrews, UK (PHD)

Education History

University of St Andrews, UK

PHD

Publications

Huan Wang, Ruigang Liu, Chuanqi Shi, Junyang Chen, Lei Fang, Shun Liu, Zhiguo Gong
Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Huan Wang, Ziwen Cui, Ruigang Liu, Lei Fang, Ying Sha
A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Martin Schiemer, Lei Fang, Simon Dobson, Juan Ye
Online continual learning for human activity recognition. Pervasive Mob. Comput. 93 (2023)
Lei Fang, Juan Ye, Simon Dobson
Discovery and Recognition of Emerging Human Activities Using a Hierarchical Mixture of Directional Statistical Models. IEEE Trans. Knowl. Data Eng. 32 (7) (2020)
Lei Fang, Xiaoli Liu, Xiang Su, Juan Ye, Simon Dobson, Pan Hui, Sasu Tarkoma
Bayesian Inference Federated Learning for Heart Rate Prediction. MobiHealth (2020)
Lei Fang, Juan Ye, Simon Dobson
Distributed Self-Monitoring Sensor Networks Via Markov Switching Dynamic Linear Models. SASO (2019)
Lei Fang, Juan Ye, Simon Dobson
Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models. DSAA (2019)
Juan Ye, Lei Fang, Simon A. Dobson
Discovery and recognition of unknown activities. UbiComp Adjunct (2016)
Lei Fang, Simon Dobson
Towards Data-centric Control of Sensor Networks through Bayesian Dynamic Linear Modelling. SASO (2015)
Lei Fang, Biao Liu, Minlie Huang
Leveraging Large Data with Weak Supervision for Joint Feature and Opinion Word Extraction. J. Comput. Sci. Technol. 30 (4) (2015)
Lei Fang, Simon Dobson
Data Collection with In-network Fault Detection Based on Spatial Correlation. ICCAC (2014)
Lei Fang, Qiao Qian, Minlie Huang, Xiaoyan Zhu
Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition. CIKM (2014)
Lei Fang, Minlie Huang, Xiaoyan Zhu
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis. CIKM (2013)
Lei Fang, Simon Dobson
Unifying Sensor Fault Detection with Energy Conservation. IWSOS (2013)
Lei Fang, Simon Dobson, Danny Hughes
An error-free data collection method exploiting hierarchical physical models of wireless sensor networks. PE-WASUN (2013)
Klaas Thoelen, Danny Hughes, Nelson Matthys, Lei Fang, Simon Dobson, Yizhou Qiang, Wei Bai, Ka Lok Man, Sheng-Uei Guan, Davy Preuveneers, Sam Michiels, Christophe Huygens, Wouter Joosen
A reconfigurable component model with semantic type system for dynamic WSN applications. J. Internet Serv. Appl. 3 (3) (2012)
Lei Fang, Minlie Huang
Fine Granular Aspect Analysis using Latent Structural Models. ACL (2) (2012)
Haofan Zhang, Lei Fang, Sheng-Uei Guan
Recursive and Incremental Learning GA Featuring Problem-Dependent Rule-Set. ICIC (3) (2011)
Lei Fang, Sheng-Uei Guan, Haofan Zhang
Recursive Learning of Genetic Algorithms with Task Decomposition and Varied Rule Set. Int. J. Appl. Evol. Comput. 2 (4) (2011)
Klaas Thoelen, Nelson Matthys, Wouter Horré, Christophe Huygens, Wouter Joosen, Danny Hughes, Lei Fang, Sheng-Uei Guan
Supporting reconfiguration and re-use through self-describing component interfaces. MidSens (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lei Fang