Fang Liu

Dr Liu Fang

Lecturer

School of Science and Technology

Tel: +65 6248 0076

Email: bGl1ZmFuZ0BzdXNzLmVkdS5zZw==

Educational Qualifications

2015
Doctor of Philosophy (Computer Science), Nanyang Technological University, Singapore

2011
Master of Engineering, Xidian University, China

2008
Bachelor of Engineering, Xidian University, China

Academic and Professional Experience

2020 - Present
Lecturer, School of Science and Technology, Singapore University of Social Sciences

2019 - 2020
Scientist, Sentient.io Pte Ltd, Singapore

2017 - 2019
Research Fellow, Singapore Institute of Manufacturing Technology, A*STAR

2016 - 2017
Research Fellow, School of Computer Science and Engineering, Nanyang Technological University

2015 - 2016
Research Assistant, School of Computer Science and Engineering, Nanyang Technological University

  • Fang Liu et al. “TransLine: Transfer Learning for Accurate Power Line Anomaly Detection with Insufficient Data.” IEEE International Conference on Communications (ICC). In Press. IEEE. Seoul, South Korea. May 16–20, 2022.
  • Pan Lai, Rui Fan, Xiao Zhang, Wei Zhang, Fang Liu et al. “Utility Optimal Thread Assignment and Resource Allocation in Multi-Server Systems.” IEEE/ACM Transactions on Networking (TON). In Press. 2021.
  • Wei Zhang, Yonggang Wen, and Fang Liu. “Towards Cost-Optimal Energy Procurement for Cooling as a Service: A Data-Driven Approach.” IEEE Global Communications Conference (GLOBECOM). IEEE. Madrid, Spain. December 7 - 11, 2021.
  • Fang Liu et al. "Broken Power Strand Detection with Aerial Images: A Machine Learning based Approach." IEEE International Smart Cities Conference (ISC2), pp. 1-7. IEEE. Piscataway, NJ, USA. September 28 - October 1, 2020.
  • Fang Liu et al. "QoE-Driven Mobile Streaming: A Location-aware Approach." IEEE International Conference on Multimedia & Expo (ICME). IEEE. Shanghai, China. July 8 - 12, 2019.
  • Fang Liu et al. "A Feature-Aware Online Learning Approach for Support Vector Machine Classification." International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE. Singapore. November 18 - 21, 2018. (Best Paper Nomination, 9 out of 340 Nominated.)
  • Fang Liu et al. "Encrypted SVM for Outsourced Data Mining." IEEE International Conference on Cloud Computing (CLOUD), pp. 1085-92. IEEE. New York, USA. June 27 - July 2, 2015. (Acceptance Rate: 15%)
  • Fang Liu et al. "Encrypted Scalar Product Protocol for Outsourced Data Mining." IEEE International Conference on Cloud Computing (CLOUD), pp. 336-43. IEEE. Alaska, USA. June 27 - July 2, 2014. (Acceptance Rate: 19%)
  • Fang Liu et al. "Encrypted Set Intersection Protocol for Outsourced Datasets." IEEE International Conference on Cloud Engineering (IC2E), pp. 135-40. IEEE. Boston, Massachusetts, USA. March 10-14, 2014. (Acceptance Rate: 20%)

2010 - Present
Member, Institute of Electrical and Electronic Engineering (IEEE), USA

  • Data privacy preserving
  • Cybersecurity
  • Data analytics
  • Computational intelligence
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