Staff profile
Dr Frederick Li
Associate Professor
Affiliation | Telephone |
---|---|
Associate Professor in the Department of Computer Science | +44 (0) 191 33 44299 |
Biography
Frederick Li received both a Bachelor of Arts (Honors) in Computing Studies and a Master of Philosophy from The Hong Kong Polytechnic University, and a Ph.D. degree in Computer Graphics from City University of Hong Kong. He is currently an Associate Professor at University of Durham. Prior to the current appointment, he was an Assistant Professor at The Hong Kong Polytechnic University from 2003 to 2006, and had been the project manger of a Hong Kong Government Innovation and Technology Fund (ITF) funded project.
Frederick Li is currently an Associate Editor of Frontiers in Education (Digital Education) and an Editorial Board Member of Virtual Reality & Intelligent Hardware. He has served as an Associate Editor of International Journal of Distance Education Technologies and a Guest Editor of three of its special issues. He has also served as a Conference Co-chair of ICWL 2022, Program Co-chair of ISVC 2021, ICWL 2015/2013/2008/2007 and IDET 2008-2009. In addition, he has served as a a Poster & Demo Track Co-Chair of EDM 2022, a Workshop Co-chair of ICWL 2009 and U-Media 2009, a Publicity Co-Chair of ACM MTDL 2010 and U-Media 2010, and a Local Co-Chair of BMVC 2018.
Departmental Duties: In the department, he has served as Chair of Board of Examiners of both UG and PGT Programmes, PGT Programme Director, and Chair of Taught Postgraduate Management Committee (CS and Engineering).
External Appointment: External Examiner for a taught MSc programme in Northumbria University (2022-2026)
Research Projects
Mesh Saliency | |
| ![]() |
Graphics Modeling and Transmission | |
| ![]() |
Remote Rendering and Perceptual Quality Assessment | |
| ![]() |
Cloud Modeling | |
| ![]() |
Coloring and Beautification | |
| ![]() |
Student Performance Analytics | |
| ![]() |
Educational Technologies | |
| ![]() |
Papers published from supervised undergraduate projects | |
|
Research interests
- Collaborative Virtual Environment
- Computer Graphics
- Educational Technologies
- Graphics Modeling and Transmission
- Augmented and Virtual Reality
- Machine Learning and Deep Learning
Esteem Indicators
- 2000: Journal Editorialships: Associate Editor of Frontiers in Education (Digital Education) and an Editorial Board Member of Virtual Reality & Intelligent Hardware.
- 2000: Conference Organization: Conference Co-chair of ICWL 2022, Program Co-chair of ISVC 2021, ICWL 2015/2013/2008/2007 and IDET 2008-2009. In addition, he has served as a a Poster & Demo Track Co-Chair of EDM 2022, a Workshop Co-chair of ICWL 2009 and U-Media 2009, a Publicity Co-Chair of ACM MTDL 2010 and U-Media 2010, and a Local Co-Chair of BMVC 2018.
Publications
Chapter in book
- ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Vijendran, M., Li, F. W. B., Deng, J., & Shum, H. P. H. (in press). ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification. In CCIS '24: Communications in Computer and Information Science. Springer - Learning Path Construction Based on Association Link Network
Yang, F., Li, F. W., & Lau, R. W. (2012). Learning Path Construction Based on Association Link Network. In E. Popescu, Q. Li, R. Klamma, H. Leung, & M. Specht (Eds.), Advances in web-based learning (ICWL 2012) : proceedings of 11th International Conference, Sinaia, Romania, September 2-4, 2012 (120-131). Springer Verlag. https://doi.org/10.1007/978-3-642-33642-3_13
Conference Paper
- Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible Networks
Ma, Y., Zhou, K., Yu, F., Li, F. W. B., & Liang, X. (2025, May). Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible Networks. Paper presented at IEEE International Conference on Robotics and Automation 2025, Atlanta, USA - Multi-modal Dynamic Point Cloud Geometric Compression Based on Bidirectional Recurrent Scene Flow*
Nan, F., Li, F., Wang, Z., Tam, G. K. L., Jiang, Z., DongZheng, D., & Yang, B. (2025, April). Multi-modal Dynamic Point Cloud Geometric Compression Based on Bidirectional Recurrent Scene Flow*. Presented at ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India - From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
Qiao, T., Li, R., Li, F. W. B., & Shum, H. P. H. (2024, December). From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos. Presented at ICPR 2024: International Conference on Pattern Recognition, Kolkata, India - MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
Zhou, K., Wang, L., Zhang, X., Shum, H. P., Li, F. W. B., Li, J., & Liang, X. (2024, September). MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. Presented at Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Milan, Italy - Reducing University Students’ Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback
Pan, Z., Cristea, A. I., & Li, F. W. B. (2024, July). Reducing University Students’ Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback. Presented at AIED 2024: Artificial Intelligence in Education, Recife, Brazil - HSE: Hybrid Species Embedding for Deep Metric Learning
Yang, B., Sun, H., Li, F. W. B., Chen, Z., Cai, J., & Song, C. (2023, October). HSE: Hybrid Species Embedding for Deep Metric Learning. Presented at 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris - DrawGAN: Multi-view Generative Model Inspired By The Artist's Drawing Method
Yang, B., Chen, Z., Li, F. W. B., Sun, H., & Cai, J. (2023, August). DrawGAN: Multi-view Generative Model Inspired By The Artist's Drawing Method. Presented at CGI 2023: Advances in Computer Graphics, Shanghai, China - A Mixed Reality Training System for Hand-Object Interaction in Simulated Microgravity Environments
Zhou, K., Chen, C., Ma, Y., Leng, Z., Shum, H. P., Li, F. W., & Liang, X. (2023, October). A Mixed Reality Training System for Hand-Object Interaction in Simulated Microgravity Environments. Presented at ISMAR 23: International Symposium on Mixed and Augmented Reality, Sydney, Australia - Tackling Data Bias in Painting Classification with Style Transfer
Vijendran, M., Li, F. W., & Shum, H. P. (2023, February). Tackling Data Bias in Painting Classification with Style Transfer. Presented at VISAPP '23: 2023 International Conference on Computer Vision Theory and Applications, Lisbon, Portugal - Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
Wang, Y., Leng, Z., Li, F. W. B., Wu, S.-C., & Liang, X. (2023, October). Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model. Presented at 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris - STIT: Spatio-Temporal Interaction Transformers for Human-Object Interaction Recognition in Videos
Almushyti, M., & Li, F. W. (2022, August). STIT: Spatio-Temporal Interaction Transformers for Human-Object Interaction Recognition in Videos. Presented at 2022 26th International Conference on Pattern Recognition (ICPR), Montréal, Québec - Aesthetic Enhancement via Color Area and Location Awareness
Yang, B., Wang, Q., Li, F. W., Liang, X., Wei, T., & Zhu, C. (2022, October). Aesthetic Enhancement via Color Area and Location Awareness. Presented at The 30th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2022, Kyoto, Japan - Gamifying Experiential Learning Theory
Alsaqqaf, A., & Li, F. W. (2022, December). Gamifying Experiential Learning Theory. Presented at International Conference On Web-Based Learning (ICWL 2022), Tenerife, Spain - Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos
Qiao, T., Men, Q., Li, F. W., Kubotani, Y., Morishima, S., & Shum, H. P. (2022, October). Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos. Presented at Computer Vision - ECCV 2022, Tel Aviv, Israel - STGAE: Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising
Zhou, K., Cheng, Z., Shum, H. P., Li, F. W., & Liang, X. (2021, October). STGAE: Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising. Presented at 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bari, Italy - Recognising Human-Object Interactions Using Attention-based LSTMs
Almushyti, M., & Li, F. W. (2019, December). Recognising Human-Object Interactions Using Attention-based LSTMs. Presented at Computer Graphics and Visual Computing (CGVC), Bangor University, United Kingdom - Deep Blind Synthesized Image Quality Assessment with Contextual Multi-Level Feature Pooling
Wang, X., Wang, K., Yang, B., Li, F. W., & Liang, X. (2019, December). Deep Blind Synthesized Image Quality Assessment with Contextual Multi-Level Feature Pooling. Presented at 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan - Image recoloring for home scene
Lin, X., Wang, X., Li, F. W., Yang, B., Zhang, K., & Wei, T. (2018, December). Image recoloring for home scene. Presented at ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI '18), Tokyo, Japan - Modeling Detailed Cloud Scene from Multi-source Images
Cen, Y., Liang, X., Chen, J., Yang, B., & Li, F. W. (2018, December). Modeling Detailed Cloud Scene from Multi-source Images. Presented at Pacific Graphics, Hong Kong - No Tests Required: Comparing Traditional and Dynamic Predictors of Programming Success
Watson, C., Li, F. W., & Godwin, J. L. (2014, December). No Tests Required: Comparing Traditional and Dynamic Predictors of Programming Success. Presented at 45th ACM Technical Symposium on Computer Science Education (SIGCSE '14), Atlanta GA - Failure rates in introductory programming revisited
Watson, C., & Li, F. W. (2014, December). Failure rates in introductory programming revisited. Presented at 2014 conference on Innovation & technology in computer science education (ITiCSE), Uppsala - Predicting Performance in an Introductory Programming Course by Logging and Analyzing Student Programming Behavior
Watson, C., Li, F. W., & Godwin, J. L. (2013, December). Predicting Performance in an Introductory Programming Course by Logging and Analyzing Student Programming Behavior. Presented at 2013 IEEE 13th International Conference on Advanced Learning Technologies, Beijing - BlueFix: Using Crowd-sourced Feedback to Support Programming Students in Error Diagnosis and Repair
Watson, C., Li, F. W., & Godwin, J. L. (2012, December). BlueFix: Using Crowd-sourced Feedback to Support Programming Students in Error Diagnosis and Repair. Presented at 11th International Conference on Advances in Web-Based Learning, Sinaia - Sketching-Based Skeleton Generation
Zheng, Q., Li, F. L., & Lau, R. (2010, December). Sketching-Based Skeleton Generation. Presented at 2010 3rd IEEE International Conference on Ubi-Media Computing (U-Media 2010), Jinhua, China - Active Contour Projection for Mesh Segmentation
Yang, F., Li, F., & Lau, R. (2009, December). Active Contour Projection for Mesh Segmentation. Presented at IEEE Joint Conferences on Pervasive Computing (JCPC), Taipei, Taiwan - GameOD: An Internet Based Game-On-Demand Framework
Li, F., Lau, R., & Kilis, D. (2004, November). GameOD: An Internet Based Game-On-Demand Framework. Presented at ACM Symposium on Virtual Reality Software and Technology VRST '04., Hong Kong - Supporting Continuous Consistency in Multiplayer Online Games
Li, F., Li, L., & Lau, R. (2004, October). Supporting Continuous Consistency in Multiplayer Online Games. Presented at 12th Annual ACM International Conference on Multimedia, New York, USA
Edited book
- Advances in Web-Based Learning - ICWL 2015
Li, F. W., Klamma, R., Laanpere, M., Zhang, J., Manjón, B., & Lau, R. W. (Eds.). Advances in Web-Based Learning - ICWL 2015. Springer Verlag
Journal Article
- Emerging Web Graphics Standards and Technologies
Lau, R., Li, F., Kunii, T., Guo, B., Zhang, B., Magnenat-Thalmann, N., Kshirsagar, S., Thalmann, D., & Gutierrez, M. (online). Emerging Web Graphics Standards and Technologies - Fg-T2M++: LLMs-Augmented Fine-Grained Text Driven Human Motion Generation
Wang, Y., Li, M., Liu, J., Leng, Z., Li, F. W. B., Zhang, Z., & Liang, X. (online). Fg-T2M++: LLMs-Augmented Fine-Grained Text Driven Human Motion Generation. International Journal of Computer Vision, https://doi.org/10.1007/s11263-025-02392-9 - C2SPoint: A classification-to-saliency network for point cloud saliency detection
Jiang, Z., Ding, L., Tam, G., Song, C., Li, F. W., & Yang, B. (online). C2SPoint: A classification-to-saliency network for point cloud saliency detection. Computers and Graphics, 115, 274-284. https://doi.org/10.1016/j.cag.2023.07.003 - WDFSR: Normalizing Flow based on Wavelet-Domain for Super-Resolution
Song, C., Li, S., Li, F. W. B., & Yang, B. (in press). WDFSR: Normalizing Flow based on Wavelet-Domain for Super-Resolution. Computational Visual Media, - PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction
Zhou, K., Shum, H. P. H., Li, F. W. B., Zhang, X., & Liang, X. (in press). PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction. IEEE Transactions on Image Processing, - Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos
Qiao, T., Li, R., Li, F. W. B., Kubotani, Y., Morishima, S., & Shum, H. P. H. (2025). Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos. Expert Systems with Applications, 290, Article 128344. https://doi.org/10.1016/j.eswa.2025.128344 - CLPFusion: A Latent Diffusion Model Framework for Realistic Chinese Landscape Painting Style Transfer
Pan, J., Li, F. W. B., Yang, B., & Nan, F. (2025). CLPFusion: A Latent Diffusion Model Framework for Realistic Chinese Landscape Painting Style Transfer. Computer Animation and Virtual Worlds, 36(3), Article e70053. https://doi.org/10.1002/cav.70053 - Talking Face Generation with Lip and Identity Priors
Wu, J., Li, F. W. B., Tam, G. K. L., Yang, B., Nan, F., & Pan, J. (2025). Talking Face Generation with Lip and Identity Priors. Computer Animation and Virtual Worlds, 36(3), Article e70026. https://doi.org/10.1002/cav.70026 - 3D data augmentation and dual-branch model for robust face forgery detection
Zhou, C., Li, F. W., Song, C., Zheng, D., & Yang, B. (2025). 3D data augmentation and dual-branch model for robust face forgery detection. Graphical Models, 138, Article 101255. https://doi.org/10.1016/j.gmod.2025.101255 - Laplacian Projection Based Global Physical Prior Smoke Reconstruction
Xiao, S., Tong, C., Zhang, Q., Cen, Y., Li, F. W. B., & Liang, X. (2024). Laplacian Projection Based Global Physical Prior Smoke Reconstruction. IEEE Transactions on Visualization and Computer Graphics, 30(12), 7657-7671. https://doi.org/10.1109/tvcg.2024.3358636 - Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising
Zhou, K., Shum, H. P., Li, F. W., & Liang, X. (2024). Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising. IEEE Transactions on Visualization and Computer Graphics, 30(10), 6754-6769. https://doi.org/10.1109/TVCG.2023.3337868 - Color Theme Evaluation through User Preference Modeling
Yang, B., Wei, T., Li, F. W. B., Liang, X., Deng, Z., & Fang, Y. (2024). Color Theme Evaluation through User Preference Modeling. ACM Transactions on Applied Perception, 21(3), 1-35. https://doi.org/10.1145/3665329 - Multi-Feature Fusion Enhanced Monocular Depth Estimation With Boundary Awareness
Song, C., Chen, Q., Li, F. W. B., Jiang, Z., Zheng, D., Shen, Y., & Yang, B. (2024). Multi-Feature Fusion Enhanced Monocular Depth Estimation With Boundary Awareness. Visual Computer, 40, 4955–4967. https://doi.org/10.1007/s00371-024-03498-w - Multi-Style Cartoonization: Leveraging Multiple Datasets With GANs
Cai, J., Li, F. W. B., Nan, F., & Yang, B. (2024). Multi-Style Cartoonization: Leveraging Multiple Datasets With GANs. Computer Animation and Virtual Worlds, 35(3), Article e2269. https://doi.org/10.1002/cav.2269 - An end-to-end dynamic point cloud geometry compression in latent space
Jiang, Z., Wang, G., Tam, G. K. L., Song, C., Yang, B., & Li, F. W. B. (2023). An end-to-end dynamic point cloud geometry compression in latent space. Displays, 80, Article 102528. https://doi.org/10.1016/j.displa.2023.102528 - A Differential Diffusion Theory for Participating Media
Cen, Y., Li, C., Li, F. W. B., Yang, B., & Liang, X. (2023). A Differential Diffusion Theory for Participating Media. Computer Graphics Forum, 42(7), Article e14956. https://doi.org/10.1111/cgf.14956 - A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis
Zhou, K., Cai, R., Ma, Y., Tan, Q., Wang, X., Li, J., Shum, H. P., Li, F. W., Jin, S., & Liang, X. (2023). A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis. IEEE Transactions on Visualization and Computer Graphics, 29(5), 2456-2466. https://doi.org/10.1109/tvcg.2023.3247092 - IAACS: Image Aesthetic Assessment Through Color Composition And Space Formation
Yang, B., zhu, C., Li, F. W., Wei, T., Liang, X., & Wang, Q. (2023). IAACS: Image Aesthetic Assessment Through Color Composition And Space Formation. Virtual Reality & Intelligent Hardware, 5(1), https://doi.org/10.1016/j.vrih.2022.06.006 - Distillation of human–object interaction contexts for action recognition
Almushyti, M., & Li, F. W. (2022). Distillation of human–object interaction contexts for action recognition. Computer Animation and Virtual Worlds, 33(5), Article e2107. https://doi.org/10.1002/cav.2107 - Facial reshaping operator for controllable face beautification
Hu, S., Shum, H. P., Liang, X., Li, F. W., & Aslam, N. (2021). Facial reshaping operator for controllable face beautification. Expert Systems with Applications, 167, Article 114067. https://doi.org/10.1016/j.eswa.2020.114067 - A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching
Hu, S., Shum, H., Aslam, N., Li, F. W., & Liang, X. (2020). A Unified Deep Metric Representation for Mesh Saliency Detection and Non-rigid Shape Matching. IEEE Transactions on Multimedia, 22(9), 2278-2292. https://doi.org/10.1109/tmm.2019.2952983 - Cumuliform Cloud Formation Control using Parameter-Predicting Convolutional Neural Network
Zhang, Z., Ma, Y., Li, Y., Li, F. W., Shum, H. P., Yang, B., Guo, J., & Liang, X. (2020). Cumuliform Cloud Formation Control using Parameter-Predicting Convolutional Neural Network. Graphical Models, 111, Article 101083. https://doi.org/10.1016/j.gmod.2020.101083 - Sparse Metric-based Mesh Saliency
Hu, S., Liang, X., Shum, H. P., Li, F. W., & Aslam, N. (2020). Sparse Metric-based Mesh Saliency. Neurocomputing, 400, 11-23. https://doi.org/10.1016/j.neucom.2020.02.106 - Example-based Image Recoloring in Indoor Environment
Lin, X., Wang, X., Li, F. W., Li, J., Yang, B., Zhang, K., & Wei, T. (2020). Example-based Image Recoloring in Indoor Environment. Computer Animation and Virtual Worlds, 31(2), Article e1917. https://doi.org/10.1002/cav.1917 - Target‐driven cloud evolution using position‐based fluids
Zhang, Z., Li, Y., Yang, B., Li, F. W., & Liang, X. (2020). Target‐driven cloud evolution using position‐based fluids. Computer Animation and Virtual Worlds, 31(6), https://doi.org/10.1002/cav.1937 - Compressed Dynamic Mesh Sequence for Progressive Streaming
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 - A Color-Pair Based Approach for Accurate Color Harmony Estimation
Yang, B., Wei, T., Fang, X., Deng, Z., Li, F. W., Ling, Y., & Wang, X. (2019). A Color-Pair Based Approach for Accurate Color Harmony Estimation. Computer Graphics Forum, 38(7), 481-490. https://doi.org/10.1111/cgf.13854 - No-reference synthetic image quality assessment with convolutional neural network and local image saliency
Wang, X., Liang, X., Yang, B., & Li, F. W. (2019). No-reference synthetic image quality assessment with convolutional neural network and local image saliency. Computational Visual Media, 5(2), 193-208. https://doi.org/10.1007/s41095-019-0131-6 - Motion-aware Compression and Transmission of Mesh Animation Sequences
Yang, B., Zhang, L., Li, F. W., Xiaoheng, J., Zhigang, D., Wang, M., & Xu, M. (2019). Motion-aware Compression and Transmission of Mesh Animation Sequences. ACM Transactions on Intelligent Systems and Technology, 10(3), Article 25. https://doi.org/10.1145/3300198 - Study on student performance estimation, student progress analysis, and student potential prediction based on data mining
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 - Scalable Remote Rendering using Synthesized Image Quality Assessment
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 - Modeling Cumulus Cloud Scenes from High-resolution Satellite Images
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 - Visual saliency guided textured model simplification
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 - 3D Mesh Compression and Transmission for Mobile Robotic Applications
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 - Recent development in multimedia e-learning technologies
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 - A Fine-Grained Outcome-Based Learning Path Model
Yang, F., Li, F. W., & Lau, R. W. (2014). A Fine-Grained Outcome-Based Learning Path Model. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(2), 235-245. https://doi.org/10.1109/tsmcc.2013.2263133 - Utilizing Massive Spatiotemporal Samples for Efficient and Accurate Trajectory Prediction
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 - Feature-Varying Skeletonization
Willcocks, C. G., & Li, F. W. (2012). Feature-Varying Skeletonization. Visual Computer, 28(6-8), 775-785. https://doi.org/10.1007/s00371-012-0688-x - Game-On-Demand: An Online Game Engine based on Geometry Streaming
Li, F., Lau, R., Kilis, D., & Li, L. (2011). Game-On-Demand: An Online Game Engine based on Geometry Streaming. ACM Transactions on Multimedia Computing, Communications and Applications, 7(3), Article 19. https://doi.org/10.1145/2000486.2000493 - A Mobile Environment for Sketching-based Skeleton Generation
Zheng, Q., & Li, F. (2011). A Mobile Environment for Sketching-based Skeleton Generation. World Wide Web, 14(3), 261-279. https://doi.org/10.1007/s11280-010-0104-2 - An Adaptive Course Generation Framework
Li, F., Lau, R., & Dharmendran, P. (2010). An Adaptive Course Generation Framework. International Journal of Distance Education Technologies, 8(3), 74-85. https://doi.org/10.4018/jdet.2010070104 - Emerging Internet Technologies for E-Learning
Li, Q., Lau, R., Leung, E., Li, F., Lee, V., Wah, B. W., & Ashman, H. (2009). Emerging Internet Technologies for E-Learning. IEEE Internet Computing, 13(4), 11-17. https://doi.org/10.1109/mic.2009.83 - An Efficient Method for Simulating Flexible Connectors
Li, F., Zhao, J., Lam, B., & Lau, R. (2009). An Efficient Method for Simulating Flexible Connectors. Journal of multimedia, 4(2), 94-100. https://doi.org/10.4304/jmm.4.2.94-100 - An Effective Error Resilient Packetization Scheme for Progressive Mesh Transmission over Unreliable Networks
Yang, B.-L., Li, F., Pan, Z., & Wang, X. (2008). An Effective Error Resilient Packetization Scheme for Progressive Mesh Transmission over Unreliable Networks. Journal of Computer Science and Technology, 23(6), 1015-1025. https://doi.org/10.1007/s11390-008-9195-y - Technology Supports for Distributed and Collaborative Learning over the Internet
Li, Q., Lau, R., Shih, T., & Li, F. (2008). Technology Supports for Distributed and Collaborative Learning over the Internet. ACM Transactions on Internet Technology, 8(2), Article 10. https://doi.org/10.1145/1323651.1323656 - Adaptive Animation of Human Motion for e-Learning Applications
Li, F., Lau, R., Komura, T., Wang, M., & Siu, B. (2007). Adaptive Animation of Human Motion for e-Learning Applications. International Journal of Distance Education Technologies, 5(2), 74-85 - A Trajectory-Preserving Synchronization Method for Collaborative Visualization
Li, L., Li, F., & Lau, R. (2006). A Trajectory-Preserving Synchronization Method for Collaborative Visualization. IEEE Transactions on Visualization and Computer Graphics, 12(5), 989-996. https://doi.org/10.1109/tvcg.2006.114 - Efficient Rendering of Deformable Objects for Real-time Applications
Cheung, G., Lau, R., & Li, F. (2006). Efficient Rendering of Deformable Objects for Real-time Applications. Computer Animation and Virtual Worlds, 17(1), 69-81. https://doi.org/10.1002/cav.71 - Multi-server support for large scale distributed virtual environments
Ng, B., Lau, R. W., Si, A., & Li, F. (2005). Multi-server support for large scale distributed virtual environments. IEEE Transactions on Multimedia, 7(6), 1054-1065. https://doi.org/10.1109/tmm.2005.858388 - VSculpt : a distributed virtual sculpting environment for collaborative design
Li, F., Lau, R. W., & Ng, F. (2003). VSculpt : a distributed virtual sculpting environment for collaborative design. IEEE Transactions on Multimedia, 5(4), 570-580. https://doi.org/10.1109/tmm.2003.814795 - Incremental polygonization of deforming NURBS surfaces.
Li, F., & Lau, R. (1999). Incremental polygonization of deforming NURBS surfaces. Journal of graphics tools (2012), 4(4), 37-50. https://doi.org/10.1080/10867651.1999.10487514 - Interactive Rendering of Deforming NURBS Surfaces
Li, F., Lau, R., & Green, M. (1997). Interactive Rendering of Deforming NURBS Surfaces. Computer Graphics Forum, 16(3), 47-56. https://doi.org/10.1111/1467-8659.00141