Compressed Dynamic Mesh Sequence for Progressive Streaming (2018)
Journal Article
Yang, B., Jiang, Z., Shangguan, J., Li, F. W., Song, C., Guo, Y., & Xu, M. (2019). Compressed Dynamic Mesh Sequence for Progressive Streaming. Computer Animation and Virtual Worlds, 30(6), Article e1847. https://doi.org/10.1002/cav.1847

Dynamic mesh sequence (DMS) is a simple and accurate representation for precisely recording a 3D animation sequence. Despite its simplicity, this representation is typically large in data size, making storage and transmission expensive. This paper pr... Read More about Compressed Dynamic Mesh Sequence for Progressive Streaming.

Scalable Remote Rendering using Synthesized Image Quality Assessment (2018)
Journal Article
Wang, X., Liang, X., Yang, B., & Li, F. W. (2018). Scalable Remote Rendering using Synthesized Image Quality Assessment. IEEE Access, 6, 36595-36610. https://doi.org/10.1109/access.2018.2853132

Depth-image-based rendering (DIBR) is widely used to support 3D interactive graphics on low-end mobile devices. Although it reduces the rendering cost on a mobile device, it essentially turns such a cost into depth image transmission cost or bandwidt... Read More about Scalable Remote Rendering using Synthesized Image Quality Assessment.

Study on student performance estimation, student progress analysis, and student potential prediction based on data mining (2018)
Journal Article
Yang, F., & Li, F. W. (2018). Study on student performance estimation, student progress analysis, and student potential prediction based on data mining. Computers & Education, 123, 97-108. https://doi.org/10.1016/j.compedu.2018.04.006

Student performance, student progress and student potential are critical for measuring learning results, selecting learning materials and learning activities. However, existing work doesn't provide enough analysis tools to analyze how students perfor... Read More about Study on student performance estimation, student progress analysis, and student potential prediction based on data mining.

Modeling Cumulus Cloud Scenes from High-resolution Satellite Images (2017)
Journal Article
Zhang, Z., Liang, X., Yuan, C., & Li, F. W. (2017). Modeling Cumulus Cloud Scenes from High-resolution Satellite Images. Computer Graphics Forum, 36(7), 229-238. https://doi.org/10.1111/cgf.13288

We present a reconstruction framework, which fits physically-based constraints to model large-scale cloud scenes from satellite images. Applications include weather phenomena visualization, flight simulation, and weather spotter training. In our meth... Read More about Modeling Cumulus Cloud Scenes from High-resolution Satellite Images.

3D Mesh Compression and Transmission for Mobile Robotic Applications (2016)
Journal Article
Yang, B., Wang, X., Li, F. W., Xie, B., Liang, X., & Jiang, Z. (2016). 3D Mesh Compression and Transmission for Mobile Robotic Applications. International Journal of Advanced Robotic Systems, 13, Article 9. https://doi.org/10.5772/62035

Mobile robots are useful for environment exploration and rescue operations. In such applications, it is crucial to accurately analyse and represent an environment, providing appropriate inputs for motion planning in order to support robot navigation... Read More about 3D Mesh Compression and Transmission for Mobile Robotic Applications.

Visual saliency guided textured model simplification (2015)
Journal Article
Yang, B., Li, F. W., Wang, X., Xu, M., Liang, X., Jiang, Z., & Jiang, Y. (2016). Visual saliency guided textured model simplification. Visual Computer, 32(11), 1415-1432. https://doi.org/10.1007/s00371-015-1129-4

Mesh geometry can be used to model both object shape and details. If texture maps are involved, it is common to let mesh geometry mainly model object shapes and let the texture maps model the most object details, optimising data size and complexity o... Read More about Visual saliency guided textured model simplification.

Recent development in multimedia e-learning technologies (2014)
Journal Article
Lau, R. W., Yen, N. Y., Li, F. W., & Wah, B. (2014). Recent development in multimedia e-learning technologies. World Wide Web, 17(2), 189-198. https://doi.org/10.1007/s11280-013-0206-8

Multimedia and networking technologies have significantly impacted on our daily activities, particularly in terms of how we learn. Nowadays, classroom teaching no longer simply relies on chalk and blackboard as the prime medium for course disseminati... Read More about Recent development in multimedia e-learning technologies.

No Tests Required: Comparing Traditional and Dynamic Predictors of Programming Success (2014)
Conference Proceeding
Watson, C., Li, F. W., Godwin, J. L., Dougherty, J., Nagel, K., Decker, A., & Eiselt, K. (2014). No Tests Required: Comparing Traditional and Dynamic Predictors of Programming Success. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (469-474). https://doi.org/10.1145/2538862.2538930

Research over the past fifty years into predictors of programming performance has yielded little improvement in the identification of at-risk students. This is possibly because research to date is based upon using static tests, which fail to reflect... Read More about No Tests Required: Comparing Traditional and Dynamic Predictors of Programming Success.

Failure rates in introductory programming revisited (2014)
Conference Proceeding
Watson, C., Li, F. W., Cajander, Å., Daniels, M., Clear, T., & Pears, A. (2014). Failure rates in introductory programming revisited. In Proceedings of the 2014 conference on Innovation & technology in computer science education (ITiCSE '14) (39-44). https://doi.org/10.1145/2591708.2591749

Whilst working on an upcoming meta-analysis that synthesized fifty years of research on predictors of programming performance, we made an interesting discovery. Despite several studies citing a motivation for research as the high failure rates of int... Read More about Failure rates in introductory programming revisited.

Utilizing Massive Spatiotemporal Samples for Efficient and Accurate Trajectory Prediction (2013)
Journal Article
Chan, A., & Li, F. W. (2013). Utilizing Massive Spatiotemporal Samples for Efficient and Accurate Trajectory Prediction. IEEE Transactions on Mobile Computing, 12(12), 2346-2359. https://doi.org/10.1109/tmc.2012.214

Trajectory prediction is widespread in mobile computing, and helps support wireless network operation, location-based services, and applications in pervasive computing. However, most prediction methods are based on very coarse geometric information s... Read More about Utilizing Massive Spatiotemporal Samples for Efficient and Accurate Trajectory Prediction.