Publications

Publications

Google Scholar: https://bit.ly/gscholar-jonathanliono
dblp: https://bit.ly/dblp-jonathanliono

2021

  • White, R.W., Shaya, O., Carter, K.M., Ren, Y., Liono, J. and Salim, F.D., Microsoft Technology Licensing, LLC, 2021. SCHEDULING TASKS BASED ON CYBER-PHYSICAL-SOCIAL CONTEXTS. U.S. Patent Application 16/817,828. https://www.freepatentsonline.com/y2021/0287182.html

2020

  • Liono, J., Rahaman, M.S., Salim, F.D., Ren, Y., Spina, D., Scholer, F., Trippas, J.R., Sanderson, M., Bennett, P.N. and White, R.W., 2020, June. Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. In International Conference on Multimedia Retrieval (ICMR’20).
  • Liono, J., 2019. Situation inference and context recognition for intelligent mobile sensing applications. In 2020 RMIT Research Repository (RMIT University, Melbourne Australia). (*PhD Thesis*) Link: http://bit.ly/phdthesis-rmit-jonathanliono

2019

  • Liono, J., Salim, F.D., van Berkel, N., Kostakos, V., and Qin, A. K., 2019. Improving Experience Sampling with Multi-view User-driven Annotation Prediction. In 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE.
  • Rahaman, M. S., Pare, H., Liono, J., Salim, F.D., Ren, Y., Chan, J., Kudo, S., Rawling, T. and Sinickas, A., 2019. OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE.
  • Trippas, J.R., Spina, D., Scholer, F., Awadallah, A.H., Bailey, P., Bennett, P.N., White, R.W., Liono, J., Ren, Y., Salim, F.D. and Sanderson, M., 2019. Learning About Work Tasks to Inform Intelligent Assistant Design. In Proceedings of ACM SIGIR Conference of Human Information Interaction and Retrieval (Vol. 52, pp. 625-634). ACM.
  • Liono, J., Trippas, J.R., Spina, D., Rahaman, M.S., Ren, Y., Salim, F.D., Sanderson, M., Scholer, F. and White, R.W., 2019. Building a Benchmark for Task Progress in Digital Assistants. In Proc. WSDM’19 Task Intelligence Workshop (TI@ WSDM19).
  • Deldari, S., Liono, J., Salim, F.D., and Smith, D. V., 2019. Inferring Work Routines and Behavior Deviations with Life-logging Sensor Data. In Proc. WSDM’19 Task Intelligence Workshop (TI@ WSDM19).
  • Liu, H., Liu, H., Wang, X., Shao, W., Wang, X., Du, J., Liono, J. and Salim, F.D., 2019. SmartMeeting: A Novel Mobile Voice Meeting Minutes Generation and Analysis System. Mobile Networks and Applications, pp.1-16.

2018

  • Liu, H., Wang, X., Wei, Y., Shao, W., Liono, J., Salim, F.D., Deng, B. and Du, J., 2018, November. ProMETheus: An Intelligent Mobile Voice Meeting Minutes System. In Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 392-401). ACM.
  • Liono, J., Abdallah, Z.S., Qin, A.K. and Salim, F.D., 2018, November. Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life. In Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 342-351). ACM.
  • Liono, J., Jayaraman, P.P., Qin, A.K., Nguyen, T. and Salim, F.D., 2018. QDaS: Quality driven data summarisation for effective storage management in Internet of Things. Journal of Parallel and Distributed Computing.

2017

  • Wang, X., Liono, J., McIntosh,W., Salim, F.D., 2017, November. Predicting the city foot traffic with pedestrian sensor data. In Proceedings of the 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services.

2016

  • Krome, S., Liono, J., Salim, F.D., Greuter, S. and Steinberger, F., 2016, October. AutoJammin’: Designing Progression in Traffic and Music. In Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (pp. 63-68). ACM.
  • Liono, J., Nguyen, T., Jayaraman, P.P. and Salim, F.D., 2016, June. UTE: A Ubiquitous daTa Exploration platform for mobile sensing experiments. In Mobile Data Management (MDM), 2016 17th IEEE International Conference on (Vol. 1, pp. 349-352). IEEE.
  • Liono, J., Qin, A.K. and Salim, F.D., 2016, November. Optimal time window for temporal segmentation of sensor streams in multi-activity recognition. In Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 10-19). ACM.
  • Liono, J., Valentine, A., Khoo, C.K. and Salim, F.D., 2016, November. Measuring passers-by engagement with AmPost: a printed interactive audio poster. In Proceedings of the 28th Australian Conference on Computer-Human Interaction (pp. 215-219). ACM.
  • Liono, J., Dau, H., Salim, F.D., Song, A., Alhajyaseen, W., Bradbrook, D. and Bouguettaya, A., 2016, October. Detecting passenger discomfort from abnormal driving manoeuvres. In 23rd ITS World Congress, Melbourne, Australia.

2015

  • Liono, J., Salim, F.D. and Subastian, I.F., 2015, October. Visualization oriented spatiotemporal urban data management and retrieval. In Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics (pp. 21-26). ACM.

2013

  • Gaber, M.M., Krishnaswamy, S., Gillick, B., AlTaiar, H., Nicoloudis, N., Liono, J. and Zaslavsky, A., 2013. Interactive self-adaptive clutter-aware visualisation for mobile data mining. Journal of Computer and System Sciences, 79(3), pp.369-382.

2010

  • Gillick, B., AlTaiar, H., Krishnaswamy, S., Liono, J., Nicoloudis, N., Sinha, A., Zaslavsky, A. and Gaber, M.M., 2010, December. Clutter-adaptive visualization for mobile data mining. In Data Mining Workshops (ICDMW), 2010 IEEE International Conference on (pp. 1381-1384). IEEE.
  • Gaber, M.M., Krishnaswamy, S., Gillick, B., Nicoloudis, N., Liono, J., AlTaiar, H. and Zaslavsky, A., 2010, October. Adaptive clutter-aware visualization for mobile data stream mining. In Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on (Vol. 2, pp. 304-311). IEEE.