Yan Ke (current: CJLU, B.Sc., Ph.D.: NUS, Postdoc: MIST)


Dr. Yan Ke graduated from National University of Singapore (NUS) in 2012. During his graduate study, he acted as a research assistant in NUS from July 2006 to Feb 2007 and from Sep 2010 to Sep 2012; a teaching assistant in NUS from Jan 2008 to Aug 2010; and a research engineer of Defense Science Organization National Laboratories (Singapore) from Mar 2007 to Feb 2008. His main research area at that time included computer graphics and computational geometry. His Ph.D supervisor was Dr. Cheng Ho-Lun, Alan. After graduation, he joined Masdar Institute of Science and Technology, Abu Dhabi (MIST) as a post-doc researcher. In UAE, he was interested in local engineering problems, including future power consumption prediction, HVAC problem detection and diagnosis and future smart city design for Abu Dhabi. The research area included time series analysis, big data, data mining and machine learning. His post-doc supervisor was Prof Afshin Afshari. In 2015, he went back to his hometown Hangzhou and joined local school China Jiliang University (CJLU) as a lecturer.


Contact:

China Jiliang University, College of Information Engineering.

258 Xueyuan Street, Hangzhou, China. 310018.

Cyber South 324

Email: yanke@cjlu.edu.cn


On-going Projects:

1. Skin flow complex algorithm (SFCA) implementation for fast molecular skin surface (MSS) visualization.

2. Representing 3D models by 4D weighted point sets.

3. Deformable surface design.

4. Simplification of unions of balls.

5. Feature selection for chiller fault detection and diagnosis.

6. Solar Irradiance Classification for MPPT.

7. Electricity consumption prediction for singular consumer households.

8. Stock indices prediction using PSF.


Courses:

Artificial Intelligence

Applied Human Computer Interaction

Object Oriented Programming


Publications:

Google Scholar

Journals: (* indicates corresponding author):

Xiuhui Wang and Ke Yan*. Immersive Human Computer Interactive Virtual Environment using Large-Scale Display System. Future Generation Computer Systems , Elsevier, 2017. doi: 10.1016/j.future.2017.07.058. Paper.

Ke Yan, Zhiwei Ji, Huijuan Lu*, Jing Huang, Wen Shen and Yu Xue. Fast and Accurate Classification of Time Series Data using Extended ELM: Application in Fault Diagnosis of Air Handling Units. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017. doi: 10.1109/TSMC.2017.2691774. Paper.

Ke Yan, Ho-Lun Cheng, Zhiwei Ji*, Xin Zhang and Huijuan Lu. Accelerating Smooth Molecular Surface Calculation. Journal of Mathematical Biology, Springer, 2017. doi: 10.1007/s00285-017-1156-z. Paper.

Xiuhui Wang, Jun Wang and Ke Yan*. Gait Recognition Based on Gabor Wavelets and (2D)2PCA. Multimedia Tools and Applications, Springer, 2017. doi: 10.1007/s11042-017-4903-7. Paper.

Xiuhui Wang and Ke Yan*. Automatic Color Correction for Multi-Projector Display Systems. Multimedia Tools and Applications, Springer, 2017. doi: 10.1007/s11042-017-4934-0. Paper.

Ke Yan, Bing Wang, Ho-lun Cheng, Zhiwei Ji, Jing Huang and Zhigang Gao. Molecular Skin Surface based Transformation Visualization between Biological Macromolecules. Journal of Healthcare Engineering, Hindawi, 2017, Volume 2017, 12 pages. doi: 10.1155/2017/4818604. Paper.

Huijuan Lu, Junying Chen, Ke Yan*, Qun Jin, Yu Xue, Zhigang Gao. A Hybrid Feature Selection Algorithm for Gene Expression Data Classification. Neurocomputing, Elsevier, 2017. doi: 10.1016/j.neucom.2016.07.080. Paper.

Jing Huang, Qi Wang, Marco Fratarcangeli, Ke Yan*, Catherine Pelachaud. Multi-Variate Gaussian-based Inverse Kinematics. Computer Graphics Forum, Wiley, 2017. doi: 10.1111/cgf.13089. Paper.

Zhiwei Ji*, Ke Yan, Wenyang Li, Haigen Hu, and Xiaoliang Zhu. Mathematical and Computational Modeling in Complex Biological Systems. BioMed Research International, Hindawi, 2017, Volume 2017, 16 pages. doi: 10.1155/2017/5958321. Paper.

Yanqiu Liu, Xiuhui Wang, Ke Yan*. Hand Gesture Recognition based on Concentric Circular Scan Lines and Weighted K-Nearest Neighbor Algorithm. Multimedia Tools and Applications, Springer, 2016. doi: 10.1007/s11042-016-4265-6. Paper.

Ke Yan, Zhiwei Ji*, Wen Shen. Online Fault Detection Methods for Chillers Combining Extended Kalman Filter and Recursive One-class SVM. Neurocomputing, Elsevier, 228: 205--212. 2016. doi: 10.1016/j.neucom.2016.09.076. Paper.

Huijuan Lu, Lei Yang, Ke Yan*, Yu Xue, Zhigang Gao. A Cost-Sensitive Rotation Forest Algorithm for Gene Expression Data Classification. Neurocomputing, Elsevier, 228: 270--276. 2016. doi: 10.1016/j.neucom.2016.09.077. Paper.

Yanqiu Liu, Huijuan Lu*, Ke Yan*, Haixia Xia, Chunlin An. Applying Cost-Sensitive Extreme Learning Machine and Dissimilarity Integration to Gene Expression Data Classification. Computational Intelligence and Neuroscience, Hindawi, 2016, Volume 2016. doi: 10.1155/2016/8056253. Paper.

Xiu-Hui Wang and Ke Yan, Human Gait Recognition Using Continuous Density Hidden Markov Models. Pattern Recognition and Artificial Intelligence, 2016, 29 (8).

Timothy Mulumba, Afshin Afshari*, Ke Yan, Wen Shen and Leslie K. Norford. Robust model-based fault diagnosis for air handling units. Energy and Buildings, Elsevier, 2015, 86: 698--707. Paper.

Ke Yan, Wen Shen, Timothy Mulumba and Afshin Afshari*. ARX model based fault detection and diagnosis for chillers using support vector machines. Energy and Buildings, Elsevier, 2014, 81: 287--295. Paper.

Ke Yan and Ho-Lun Cheng. On simplifying deformation of smooth manifolds defined by large weighted point sets. Computational Geometry and Graphs, Springer, 2013: 150--161.

Ke Yan and Ho-Lun Cheng. Local modification of skin surface mesh: Towards free-form skin surface deformation. Computational Geometry, Graphs and Applications, Springer, 2011: 195--205.

Ke Yan and Ho-Lun Cheng. Mesh deformation of dynamic smooth manifolds with surface correspondences. Mathematical Foundations of Computer Science 2010, Springer, 2010: 677--688

-------------------------------------

Conferences:

Jing Huang, Qi Wang, Marco Fratarcangeli, Ke Yan and Catherine Pelachaud. Multivariate Gaussian-based Inverse Kinematics: an Automatic IK. Eurographics 2017, Lyon, France.

Huijuan Lu, Yaqiong Meng, Ke Yan*, Yu Xue and Zhigang Gao. Kernel Principle Component Analysis based on Rotation Forest for Gene Expression Data Classification. ELM 2016, Singapore, Paper 75.

Ke Yan, Wen Shen, Timothy Mulumba and Afshin Afshari. Model-based predictive maintenance of chillers. In Proceedings of 7th Asian Conference on Refrigeration and Air Conditioning (ACRA 2014).

Ke Yan, Holun Cheng. On Simplifying Deformation of Smooth Manifolds Defined by Large Weighted Point Sets. In Proceedings of Thailand-Japan Joint Conference on Computational Geometry and Graphs (TJCCGG) 2012.

Ke Yan, Holun Cheng. Local Modication of Skin Surface Mesh: Toward Free-Form Skin Surface Deformation. in Proceedings of The China-Japan Joint Conference on Computational Geometry, Graphs and Applications (CGGA) 2010, Dalian.

Ho-Lun Cheng, Ke Yan. Mesh Deformation of Dynamic Smooth Manifolds with Surface Correspondences. Mathematical Foundations of Computer Science (MFCS), 2010, Brno, Czech Republic.

-------------------------------------

Book:

Ke Yan. Topology-free Deformation Between Smooth Manifolds. LAP Lambert Academic Publishing. 2013. ISBN 978-3-659-39285-6.

Huijuan Lu and Ke Yan. Feature Selection and Gene Recoginition Algorithms Analysis. 2016. Front Page.

-------------------------------------

Patent:

Junying Chen, Huijuan Lu and Ke Yan, A feature selection system for gene expression data, pdf.