Yan Ke (Associate Professor, China Jiliang University, Hangzhou, China)

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 building/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 China Jiliang University (CJLU) as an associate professor.


Address: China Jiliang University, 258 Xueyuan Street, Hangzhou, China. 310018.

Office: College of Information Engineering. Cyber South 324.

Lab: Cyber North 106.

Email: yanke@cjlu.edu.cn

On-going Projects:

1. Simplification of unions of balls.


Artificial Intelligence

Applied Human Computer Interaction

Object Oriented Programming

Data Structure and Algorithms

Recent Publications (* indicates corresponding author):

Google Scholar

Year 2019:

43. Meng Qi*, Ke Yan, Yuanjie Zheng. GPredicates: GPU Implementation of Robust and Adaptive Floating-Point Predicates for Computational Geometry. IEEE Access, 2019. Accepted.

42. Min Hu, Wei Li, Ke Yan*, Zhiwei Ji and Haigen Hu. Modern Machine Learning Techniques for Univariate Tunnel Settlement Forecasting: A Comparative Study. Mathematical Problems in Engineering, 2019: 1-12, 2019. doi: 10.1155/2019/7057612.

41. Xiuhui Wang, Ke Yan* and Yanqiu Liu. Automatic Geometry Calibration for Multi-Projector Display Systems with Continuous Curved Surfaces. IET Image Processing, 2019. doi: 10.1049/iet-ipr.2018.5575. Preprint.

40. Chaowen Zhong, Ke Yan*, Yuting Dai, Ning Jin* and Bing Lou. Energy Efficiency Solutions for Buildings: Automated Fault Diagnosis of Air Handling Units Using Generative Adversarial Networks. Energies, 12(3): 527, 2019. doi: 10.3390/en12030527. Preprint.

39. Ke Yan, Wen Shen, Huijuan Lu and Qun Jin*. Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives. IEEE Access, 7: 26031--26059, 2019. doi: 10.1109/ACCESS.2019.2894344. Preprint.

38. Ke Yan, Ho-Lun Cheng and Jing Huang*. Representing implicit surfaces satisfying Lipschitz conditions by 4-dimensional point sets. Applied Mathematics and Computation, 354: 42–57, 2019 . doi: 10.1016/j.amc.2019.02.025. Preprint.

37. Ke Yan, Chaowen Zhong, Zhiwei Ji and Jing Huang. Evaluating Semi-supervised Learning for Automated Fault Detection and Diagnosis of Air Handling Units. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA. 2019. EDSMLS workshop. Short paper. Accepted. Preprint.

36. Ke Yan and Huijuan Lu. Evaluating Ensemble Learning Impact on Gene Selection for Automated Cancer Diagnosis. 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA. 2019. W3PHIAI-19 workshop. Poster presentation. Accepted. Preprint.

Year 2018:

35. Ke Yan, Xudong Wang, Yang Du, Ning Jin*, Haichao Huang, Hangxia Zhou. Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy. Energies, 11(11): 3089, 2018. doi: 10.3390/en11113089. Preprint. Project page.

34. Min Hu, Xiaowei Feng, Zhiwei Ji*, Ke Yan*, Shengchen Zhou. A novel computational approach for discord search with local recurrence rates in multivariate time series. Information Sciences, 477: 220--233, 2018. doi: 10.1016/j.ins.2018.10.047. Preprint.

33. Ke Yan, Chaowen Zhong, Zhiwei Ji and Jing Huang*. Semi-supervised Learning for Early Detection and Diagonsis of Various Air Handling Unit Faults. Energy and Buildings, 181: 75-83, 2018. doi: 10.1016/j.enbuild.2018.10.016. Preprint. Link. Project page.

32. Yang Du, Ke Yan*, Zixiao Ren and Weidong Xiao. Designing Localized MPPT for PV Systems Using Fuzzy-Weighted Extreme Learning MachineEnergies, 11(10): 2615, 2018. doi: 10.3390/en11102615. Preprint. Link. Project page.

31. Min Hu, Zhiwei Ji*, Ke Yan, Ye Guo, Xiaowei Feng, Jiaheng Gong, Xin Zhao and Ligang Dong. Detecting Anomalies in Time Series Data Via A Meta-feature Based Approach. IEEE Access, 6: 27760--27776, 2018. doi: 10.1109/ACCESS.2018.2840086. Preprint.

30. Ke Yan, Yang Du* and Zixiao Ren. MPPT Perturbation Optimization of Photovoltaic Power Systems Based on Solar Irradiance Data Classification. IEEE Transactions on Sustainable Energy, 10(2):514--521, 2018. doi: 10.1109/TSTE.2018.2834415. Preprint. Project page.

29. Wen Shen, Jacob W. Crandall, Ke Yan, Cristina V. Lopes. Information Design in Crowdfunding under Thresholding Policies. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, 2018. Preprint.

28. Huijuan Lu, Yaqiong Meng, Ke Yan*, Zhigang Gao. Kernel principal component analysiscombining rotation forest method for linearly inseparable data. Cognitive Systems Research.2018. doi: 10.1016/j.cogsys.2018.01.006. Preprint.

27. Ke Yan*, Lulu Ma, Yuting Dai, Wen Shen, Zhiwei Ji. Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis. International Journal of Refrigeration, Elsevier, 86: 401-409, 2018. doi: 10.1016/j.ijrefrig.2017.11.003. Preprint. Project page.

Year 2017:

26. Zhiwei Ji*, Bing Wang, Ke Yan, Ligang Dong, Guanmin Meng, Lei Shi. A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. BMC Systems Biology , Springer, 11(7):127, 2017. doi: 10.1186/s12918-017-0501-6. Preprint.

25. 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. Preprint.

24. 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. Preprint.

23. Ke Yan, Ho-Lun Cheng, Zhiwei Ji*, Xin Zhang and Huijuan Lu. Accelerating Smooth Molecular Surface Calculation. Journal of Mathematical Biology, 76(3):779--793 2017. doi: 10.1007/s00285-017-1156-z. Preprint. Project page.

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

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

20. 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, 2017. doi: 10.1155/2017/4818604. Preprint.

19. 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. Preprint.

18. 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. Preprint.

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

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

Year 2016:

15. 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. Preprint.

14. 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.

13. 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. Preprint.

12. 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. Preprint.

11. 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, 2016, 2016. doi: 10.1155/2016/8056253. Preprint.

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

Year 2015 and before :

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

8. 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, 81: 287--295, 2014. Preprint.

7. 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).

6. 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.

5. 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.

4. 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.

3. 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.

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

1. 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



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

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



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