Dr Liu Fang

Selected Publications

Selected Journals

Fang Liu, Wei Zhang, Indriyati Atmosukarto, et al.
"TransLine: Transfer Learning for Accurate and Explainable Power Line Anomaly Detection with Insufficient Data.” CCF Transactions on Pervasive Computing and Interaction (TPCI), pp. 1-14. May, 2023.

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), vol. 30, no. 2, pp. 735-748. April, 2022.

Wei Zhang, Yonggang Wen, Loi Lei Lai, Fang Liu, et al.
“Cost Optimal Data Center Servers: A Voltage Scaling Approach.” IEEE Transactions on Cloud Computing (TCC), vol. 9, no. 1, pp. 118-130. IEEE. January-March 2021. (Impact Factor: 7.928)

Wei Zhang, Yonggang Wen, Loi Lei Lai, Fang Liu, et al.
“Electricity Cost Minimization for Interruptible Workload in Data Centers.” IEEE Transactions on Services Computing (TSC), vol. 13, no. 6, pp. 1059-1071. IEEE. November/December 2020. (Impact Factor: 5.823)

Wei Zhang, Fang Liu, and Rui Fan
"Improved Thermal Comfort Modeling for Smart Buildings: A Data Analytics Study." International Journal of Electrical Power & Energy Systems. Vol. 103, pp. 634-643. December, 2018. (citations: 40+)

Wei Zhang, Rui Fan, Yonggang Wen and Fang Liu
“Energy Optimal Wireless Data Transmission for Wearable Devices: A Compression Approach.” IEEE Transactions on Vehicular Technology (TVT), vol. 67, no. 10, pp. 9605-18. IEEE. October 2018. (Impact Factor: 5.339)

Selected Conferences

Fang Liu, Bosheng Ding, Chong Guan, et al.
"Demystify Adult Learning: A Social Network and Large Language Model Assisted Approach.” IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT). IEEE. Melbourne, Australia. July 24-26, 2024.

Syabil Soedirman Salamat, Fang Liu, et al.
“It Is About Weather: Explainable Machine Learning for Traffic Accident Understanding.” IEEE International Conference on Systems, Man, and Cybernetics (SMC). In Press. IEEE. Hawaii, USA. October 1–4, 2023. (flagship conference, IEEE SMC Society)

Fang Liu, Teck Wei Low, et al.
“TransLine: Transfer Learning for Accurate Power Line Anomaly Detection with Insufficient Data.” IEEE International Conference on Communications (ICC). pp. 5543-5548. IEEE. Seoul, South Korea. May 16–20, 2022. (flagship conference, IEEE Communications Society)

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). pp 1-6. IEEE. Madrid, Spain. December 7 - 11, 2021. (flagship conference, IEEE Communications Society)

Wei Zhang, Fang Liu, Yonggang Wen, and Bernard Nee
"Toward Explainable and Interpretable Building Energy Modelling: an Explainable Artificial Intelligence Approach." In Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys). pp. 255-258. ACM. New York, NY, USA. November 17 – 18, 2021.

Yifeng Pan, Fang Liu, Ji Yang, et al.
"Broken Power Strand Detection with Aerial Images: A Machine Learning based Approach." In 2020 IEEE international smart cities conference (ISC2), pp. 1-7. IEEE. Piscataway, NJ, USA. September 28 - October 1, 2020.

Jiaqiang Yeow, Yongqing Zhu, Paul Horng Jyh Wu, Fang Liu
“IoT Smart Trolley System for Healthcare.” The Sixth IRC Conference on Engineering and Technology (IRC-SET), pp. 413-423. Springer. Singapore. July 18, 2020. (Best Paper Award)

Fang Liu, et al.
“QoE-Driven Mobile Streaming: A Location-aware Approach.” IEEE International Conference on Multimedia & Expo (ICME), pp. 1708-1713. IEEE. Shanghai, China. July 8 - 12, 2019. (flagship multimedia conference, 4x IEEE societies)

Fang Liu, Kee Jin Lee, and Jihoon Hong
“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.)

Lai, Pan, Rui Fan, Wei Zhang, and Fang Liu
"Utility Maximizing Thread Assignment and Resource Allocation." IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 433-42. IEEE. Orlando, Florida USA. May 29 - June 2, 2016. (acceptance rate: 23%)

Fang Liu, Wee Keong Ng, 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%; citations: 30+)

Fang Liu, Wee Keong Ng, 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%; citations: 40+)

Fang Liu, Wee Keong Ng, 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%)

Maoguo Gong, Fang Liu, et al.
“Interactive MOEA/D for Multi-objective Decision Making.” Annual Conference on Genetic and Evolutionary Computation Conference (GECCO), pp. 721-8. ACM. Dublin, Ireland. July 12-16, 2011. (citations: 90+)

Newly Submitted Journals and Conference

Jasraj Singh, Fang Liu, Hong Xu, Bee Chin Ng, et al.
“LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection.” IEEE Intelligent Systems. Submitted and under review.. 2024. (Alternative resource: arXiv preprint arXiv: 2405.04165)

Bee Chin Ng, Zhi Ee Nicole Ng, Eliana Law, Fang Liu, Hong Xu.
“Decoding Dception: Linguistic Patterns in Fake and Real News based on Text and Speech Corpora.” Corpus Linguistics and Linguistic Theory. Submitted and under review. 2024.