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This activity has received funding from EIT Food, the innovation community on Food of the European Institute of Innovation and Technology (EIT), a body of the EU, under the Horizon 2020, the EU Framework Programme for Research and Innovation.

Dr Huizhi Liang

Huizhi Liang is a lecturer of the Department of Computer Science, University of Reading. Her research interests include recommender systems, data mining, and machine learning.

Publications

Wang, Q., Cui, M. & Liang, H. (2016). 'Semantic-aware blocking for entity resolution'. TKDE 28 (1): 166-180.

Ramadan, B., Christen, P., Liang, H. & Gayler, R. W. (2015). 'Dynamic sorted neighborhood indexing for real-time entity resolution'. JDIQ 6 (4): 15:1-15:29.

Liang, H. & Baldwin T. (2015). 'A probabilistic rating auto-encoder for personalized recommender systems'. CIKM 2015: 1863-1866.

Liang, H., Wang Y., Christen P., & Gayler, R. W. (2014). 'Noise-tolerant approximate blocking for dynamic real-time entity resolution'. PAKDD 2014: 449-460.

Fukuda, T., Nishimura, S. & Liang, H. (2016). 'Towards sentiment analysis in elderly care facility'. JSAI-isAI Workshops 2016: 143-154.

Zucco, C., Liang, H., di Fatta, G. & Cannataro, M. (2018). 'Explainable sentiment analysis with applications in medicine'. BIBM 2018: 1740-1747.