Submitted and under review

• Xue Guo, Lei Fang and Simon Dobson. A spatially adaptive method for estimating people flow fromaggregated data. Submitted to 27th ACM SIGSPATIAL International Conference on Advances in Geographic Infomration Systems (ACM SIGSPATIAL'19).

Published or Accepted

• Lei Fang, Juan Ye and Simon Dobson. Sensor-based human activity mining with Dirichlet process mixtures of directional statistical models. In the Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA' 19). Washington DC, USA, 2019. Code
• Lei Fang, Juan Ye and Simon Dobson. Distributed self-monitoring sensor networks via Markov switching dynamic linear models. In Proceedings of the Thirteenth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO'19). Umeå, SE, 2019. Best Paper Runner Up
• Lei Fang, Juan Ye and Simon Dobson. Discovery and recognition of emerging human activities using a hierarchical mixture of directional statistical models. IEEE Transactions on Knowledge and Data Engineering. 2019
• Juan Ye, Lei Fang, and Simon Dobson. Discovery and recognition of unknown activities. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pages 783–792. ACM, 2016
• Lei Fang and Simon Dobson. Towards data-centric control of sensor networks through bayesian dynamic linear modelling. In Proceedings of the 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO'15). Boston, USA, 2015. (14 out 88 submissions accepted)
• Lei Fang and Simon Dobson. Data collection with in-network fault detection based on spatial correlation. In Proceedings of the 2nd IEEE International Conference on Cloud and Autonomic Computing (ICAC'14). London, UK, 2014.
• Lei Fang, Simon Dobson, and Danny Hudges. An error-free data collection method exploiting hierarchical physical models of wireless sensor networks. In Proceedings of the 10th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks, PE-WASUN ’13, pages 81–88, New York, NY, USA, 2013. ACM. 33% acceptance rate
• Lei Fang and Simon Dobson. Unifying sensor fault detection with energy conservation. In Pro- ceedings of the 7th International Workshop on Self-Organizing Systems, IWSOS ’13. Springer, 2013
• Lei Fang and Simon Dobson. In-network sensor data modelling methods for fault detection. In Evolving Ambient Intelligence, pages 176–189. Springer, 2013
• Klaas Thoelen, Danny Hughes, Nelson Matthys, Lei Fang, Simon Dobson, Yizhou Qiang, Wei Bai, Ka Lok Man, Sheng-Uei Guan, Davy Preuveneers, et al. A reconfigurable component model with semantic type system for dynamic wsn applications. Journal of Internet Services and Applications, 3(3):277–290, 2012
• Lei Fang and Simon Dobson. Towards self-management in WSNs by exploiting statistical model. Poster presented at 6th International Workshop on Self-organizing Systems, IWSOS’12, TU Delft, the Netherlands, 2012. Best Student Poster
• Haofan Zhang, Lei Fang, and Sheng-Uei Guan. Recursive and incremental learning GA featuring problem dependent rule-set. In Bio-Inspired Computing and Applications, pages 215–222. Springer, 2012
• Lei Fang, Sheng-Uei Guan, and Haofan Zhang. Recursive learning of genetic algorithms with task decomposition and varied rule set. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation, page 226, 2013