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Ke Yan 0001
Person information
- affiliation: National University of Singapore, College of Design and Engineering, Singapore
- affiliation (former): China Jiliang University, Hangzhou, China
- affiliation (PhD 2012): National University of Singapore
Other persons with the same name
- Ke Yan — disambiguation page
- Ke Yan 0002 — University of Electronic Science and Technology of China, Chengdu, China
- Ke Yan 0003 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Ke Yan 0004 — Xi'an Jiaotong University, Xi'an, China
- Ke Yan 0005 — University of Sydney, Sydney, Australia
- Ke Yan 0006 — National Institutes of Health Clinical Center, Bethesda, USA
- Ke Yan 0007 — Tencent Youtu Lab, Shanghai, China (and 1 more)
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2020 – today
- 2024
- [j56]Ke Yan, Cheng Lu, Xiang Ma, Zhiwei Ji, Jing Huang:
Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning. Expert Syst. Appl. 240: 122545 (2024) - [j55]Mingyi Gu, Jiajia Dai, Jiazhou Chen, Ke Yan, Jing Huang:
Real-time simulation of thin-film interference with surface thickness variation using the shallow water equations. Comput. Animat. Virtual Worlds 35(4) (2024) - [j54]Xin Li, Shuhua Li, Dong Wei, Lei Si, Kun Yu, Ke Yan:
Dynamics simulation-driven fault diagnosis of rolling bearings using security transfer support matrix machine. Reliab. Eng. Syst. Saf. 243: 109882 (2024) - 2023
- [j53]Fan Yang, Ke Yan, Ning Jin, Yang Du:
Multiple households energy consumption forecasting using consistent modeling with privacy preservation. Adv. Eng. Informatics 55: 101846 (2023) - [j52]Wei Liang, Xiaohong Chen, Suzhen Huang, Guanghao Xiong, Ke Yan, Xiaokang Zhou:
Federal learning edge network based sentiment analysis combating global COVID-19. Comput. Commun. 204: 33-42 (2023) - [j51]Ning Jin, Linlin Song, Gabriel Jing Huang, Ke Yan:
Probabilistic Forecasting of Residential Energy Consumption Based on SWT-QRTCN-ADSC-NLSTM Model. Inf. 14(4): 231 (2023) - [j50]Xiaokang Zhou, Wei Liang, Ke Yan, Weimin Li, Kevin I-Kai Wang, Jianhua Ma, Qun Jin:
Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything. IEEE Internet Things J. 10(4): 3295-3304 (2023) - [j49]Xin Li, Yong Li, Ke Yan, Haidong Shao, Janet (Jing) Lin:
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging. Reliab. Eng. Syst. Saf. 230: 108921 (2023) - [j48]Qianqian Li, Dongping Zhang, Ke Yan:
A Solar Irradiance Forecasting Framework Based on the CEE-WGAN-LSTM Model. Sensors 23(5): 2799 (2023) - [j47]Ke Yan, Xinlu Guo, Zhiwei Ji, Xiaokang Zhou:
Deep Transfer Learning for Cross-Species Plant Disease Diagnosis Adapting Mixed Subdomains. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2555-2564 (2023) - [j46]Ke Yan, Xinke Chen, Xiaokang Zhou, Zheng Yan, Jianhua Ma:
Physical Model Informed Fault Detection and Diagnosis of Air Handling Units Based on Transformer Generative Adversarial Network. IEEE Trans. Ind. Informatics 19(2): 2192-2199 (2023) - [j45]Yuchen Dai, Liyan Zhang, Ke Yan, Qihong Chen, Zepeng Zhou, Keliang Zhou:
An Integrated Cooperative Control Strategy for EVs Accessed Community Uninterruptible Power System. IEEE Trans. Intell. Veh. 8(3): 2482-2493 (2023) - [c34]Jianwei Wang, Ke Yan, Xiang Ma:
VMD-AC-LSTM: An Accurate Prediction Method for Solar Irradiance. GPC (1) 2023: 72-87 - [c33]Hao Zhang, Ke Yan:
Solar Irradiance Forecasting Utilizing Distributed and Federated Learning. HPCC/DSS/SmartCity/DependSys 2023: 1020-1027 - [c32]Youwen Zhang, Xudong Wang, Linlin Wang, Ke Yan, Huan Chen:
Out-of-Scope Intent Detection with Supervised Deep Metric Learning. IJCNN 2023: 1-8 - [c31]Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang:
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series. ECML/PKDD (5) 2023: 238-254 - 2022
- [j44]Ning Jin, Fan Yang, Yuchang Mo, Yongkang Zeng, Xiaokang Zhou, Ke Yan, Xiang Ma:
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks. Adv. Eng. Informatics 51: 101442 (2022) - [j43]Ke Yan, Xiaokang Zhou:
Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN. Digit. Commun. Networks 8(4): 531-539 (2022) - [j42]Zhiwei Ji, Yi Wang, Ke Yan, Xiaojun Xie, Yang Xiang, Jing Huang:
A space-embedding strategy for anomaly detection in multivariate time series. Expert Syst. Appl. 206: 117892 (2022) - [j41]Fangfang Lu, Zhihao Zhang, Lingling Guo, Jingjing Chen, Yihan Zhu, Ke Yan, Xiaokang Zhou:
HFENet: A lightweight hand-crafted feature enhanced CNN for ceramic tile surface defect detection. Int. J. Intell. Syst. 37(12): 10670-10693 (2022) - [j40]Xiaokang Zhou, Wei Liang, Weimin Li, Ke Yan, Shohei Shimizu, Kevin I-Kai Wang:
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System. IEEE Internet Things J. 9(12): 9310-9319 (2022) - [j39]Ke Yan, Xiaokang Zhou, Jinjun Chen:
Collaborative deep learning framework on IoT data with bidirectional NLSTM neural networks for energy consumption forecasting. J. Parallel Distributed Comput. 163: 248-255 (2022) - [j38]Wenxiu He, Ran Cheng, Keji Mao, Ke Yan, Jianliang Wei, Yingying Xu:
A Novel Anchorless Node Positioning Method for Wireless Sensor Network. J. Sensors 2022: 1-10 (2022) - [j37]Michael Yit Lin Chew, Ke Yan:
Enhancing Interpretability of Data-Driven Fault Detection and Diagnosis Methodology with Maintainability Rules in Smart Building Management. J. Sensors 2022: 5975816:1-5975816:48 (2022) - [j36]Jing Huang, Lifeng Ren, Zhiwei Ji, Ke Yan:
Single-channel EEG automatic sleep staging based on transition optimized HMM. Multim. Tools Appl. 81(30): 43063-43081 (2022) - [j35]Xin Li, Yu Yang, Wu Zhantao, Ke Yan, Haidong Shao, Junsheng Cheng:
High-accuracy gearbox health state recognition based on graph sparse random vector functional link network. Reliab. Eng. Syst. Saf. 218(Part): 108187 (2022) - [j34]Ke Yan, Jianye Su, Jing Huang, Yuchang Mo:
Chiller Fault Diagnosis Based on VAE-Enabled Generative Adversarial Networks. IEEE Trans Autom. Sci. Eng. 19(1): 387-395 (2022) - [j33]Jing Huang, Lifeng Ren, Xiaokang Zhou, Ke Yan:
An Improved Neural Network Based on SENet for Sleep Stage Classification. IEEE J. Biomed. Health Informatics 26(10): 4948-4956 (2022) - [j32]Guanghao Xiong, Ke Yan, Xiaokang Zhou:
A distributed learning based sentiment analysis methods with Web applications. World Wide Web 25(5): 1905-1922 (2022) - [c30]Xinyu Li, Ning Jin, Ke Yan:
A Multi-domain Sentiment Classification model based on Adversarial Multi-task learning and attention mechanisms. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c29]Xiansheng Wang, Ke Yan:
Fault Detection and Diagnosis of HVAC System Based on Federated Learning. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c28]Hao Zhang, Ke Yan:
WT-BiLSTM Based Transfer Learning Method for Solar Irradiance Prediction. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c27]Guoping Ruan, Xiaoyang Chen, Yang Du, Eng Gee Lim, Lurui Fang, Ke Yan:
Comparing Spatio-Temporal Models for Aggregate PV Power Nowcasting. ISGT Asia 2022: 580-584 - 2021
- [j31]Jian Zhang, Ke Yan, Yuchang Mo:
Multi-Task Learning for Sentiment Analysis with Hard-Sharing and Task Recognition Mechanisms. Inf. 12(5): 207 (2021) - [j30]Xiuhui Wang, Ke Yan:
Gait classification through CNN-based ensemble learning. Multim. Tools Appl. 80(1): 1565-1581 (2021) - [j29]Ke Yan, Zhiwei Ji, Qun Jin, Qing-Guo Wang:
Guest Editorial: Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 850-851 (2021) - [j28]Ning Jin, Yongkang Zeng, Ke Yan, Zhiwei Ji:
Multivariate Air Quality Forecasting With Nested Long Short Term Memory Neural Network. IEEE Trans. Ind. Informatics 17(12): 8514-8522 (2021) - [j27]Hangxia Zhou, Qian Liu, Ke Yan, Yang Du:
Deep Learning Enhanced Solar Energy Forecasting with AI-Driven IoT. Wirel. Commun. Mob. Comput. 2021: 9249387:1-9249387:11 (2021) - [c26]Maozheng Pi, Ning Jin, Xiang Ma, Ke Yan:
Short-term Solar Irradiation Prediction Model Based on WCNN_ALSTM. DASC/PiCom/CBDCom/CyberSciTech 2021: 405-412 - [c25]Zhendong Zhang, Xiang Ma, Ke Yan:
A deep learning model for PM2.5 concentration prediction. DASC/PiCom/CBDCom/CyberSciTech 2021: 428-433 - [c24]Guanghao Xiong, Ke Yan:
Multi-task sentiment classification model based on DistilBert and multi-scale CNN. DASC/PiCom/CBDCom/CyberSciTech 2021: 700-707 - [c23]Yiguo Zhong, Wei Zhang, Xueping Ha, Qinghai Chen, Jing Huang, Ke Yan:
Innovative Digital Twin Platform Construction for Smart Grid System. HPCC/DSS/SmartCity/DependSys 2021: 1833-1838 - [c22]Michael Yit Lin Chew, Ke Yan:
Intelligent and Automated Fault Detection and Diagnosis Strategy for HVAC Systems Based on Maintainability Rules for Construction 4.0. HPCC/DSS/SmartCity/DependSys 2021: 1946-1951 - [c21]Ke Yan, Fan Yang, Xiaokang Zhou, Wei Liang:
Parallel LSTM Enhanced Forecasting System for Dependable and Secure Household Energy Consumption. HPCC/DSS/SmartCity/DependSys 2021: 1988-1995 - 2020
- [j26]Ning Jin, Jiaxian Wu, Xiang Ma, Ke Yan, Yuchang Mo:
Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification. IEEE Access 8: 77060-77072 (2020) - [j25]Ke Yan, Hengle Shen, Lei Wang, Huiming Zhou, Meiling Xu, Yuchang Mo:
Short-Term Solar Irradiance Forecasting Based on a Hybrid Deep Learning Methodology. Inf. 11(1): 32 (2020) - [j24]Ke Yan, Lu Liu, Yong Xiang, Qun Jin:
Guest Editorial: AI and Machine Learning Solution Cyber Intelligence Technologies: New Methodologies and Applications. IEEE Trans. Ind. Informatics 16(10): 6626-6631 (2020) - [j23]Weifeng Wang, Bing Lou, Xiong Li, Xizhong Lou, Ning Jin, Ke Yan:
Intelligent maintenance frameworks of large-scale grid using genetic algorithm and K-Mediods clustering methods. World Wide Web 23(2): 1177-1195 (2020) - [c20]Shihuai Xu, Huijuan Lu, Minchao Ye, Ke Yan, Wenjie Zhu, Qun Jin:
Improved Cascade R-CNN for Medical Images of Pulmonary Nodules Detection Combining Dilated HRNet. ICMLC 2020: 283-288 - [c19]Shihuai Xu, Huijuan Lu, Minchao Ye, Ke Yan, Wenjie Zhu, Qun Jin:
Modified Hybrid Task Cascade for Lung Nodules Segmentation in CT Images with Guided Anchoring. ICMLC 2020: 433-438 - [c18]Yue Yuan, Jing Huang, Xiang Ma, Ke Yan:
Children's Drawing Psychological Analysis using Shallow Convolutional Neural Network. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 692-698 - [c17]Xueteng Sun, Ke Yan, Xiaokang Zhou:
Fault Detection and Diagnosis of Chillers with S&D Convolutional Neural Network. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 829-836 - [p1]Ke Yan, Huijuan Lu:
Evaluating Ensemble Learning Impact on Gene Selection for Automated Cancer Diagnosis. Precision Health and Medicine 2020: 183-186
2010 – 2019
- 2019
- [j22]Ke Yan, Wen Shen, Qun Jin, Huijuan Lu:
Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives. IEEE Access 7: 26031-26059 (2019) - [j21]Meng Qi, Ke Yan, Yuanjie Zheng:
GPredicates: GPU Implementation of Robust and Adaptive Floating-Point Predicates for Computational Geometry. IEEE Access 7: 60868-60876 (2019) - [j20]Hangxia Zhou, Yujin Zhang, Lingfan Yang, Qian Liu, Ke Yan, Yang Du:
Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism. IEEE Access 7: 78063-78074 (2019) - [j19]Ke Yan, Wei Li, Zhiwei Ji, Meng Qi, Yang Du:
A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households. IEEE Access 7: 157633-157642 (2019) - [j18]Ke Yan, Ho-Lun Cheng, Jing Huang:
Representing implicit surfaces satisfying Lipschitz conditions by 4-dimensional point sets. Appl. Math. Comput. 354: 42-57 (2019) - [j17]Huijuan Lu, Yige Xu, Minchao Ye, Ke Yan, Zhigang Gao, Qun Jin:
Learning misclassification costs for imbalanced classification on gene expression data. BMC Bioinform. 20-S(25): 681 (2019) - [j16]Huijuan Lu, Yaqiong Meng, Ke Yan, Zhigang Gao:
Kernel principal component analysis combining rotation forest method for linearly inseparable data. Cogn. Syst. Res. 53: 111-122 (2019) - [j15]Xiuhui Wang, Ke Yan:
Immersive human-computer interactive virtual environment using large-scale display system. Future Gener. Comput. Syst. 96: 649-659 (2019) - [j14]Xiuhui Wang, Ke Yan, Yanqiu Liu:
Automatic geometry calibration for multi-projector display systems with arbitrary continuous curved surfaces. IET Image Process. 13(7): 1050-1055 (2019) - [j13]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. Inf. Sci. 477: 220-233 (2019) - [j12]Ke Yan, Zhiwei Ji, Huijuan Lu, Jing Huang, Wen Shen, Yu Xue:
Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1349-1356 (2019) - [c16]Hao Teng, Huijuan Lu, Minchao Ye, Ke Yan, Zhigang Gao, Qun Jin:
Applying of Adaptive Threshold Non-maximum Suppression to Pneumonia Detection. BIC-TA (2) 2019: 518-528 - [c15]Ke Yan, Jun Hua:
Deep Learning Technology for Chiller Faults Diagnosis. DASC/PiCom/DataCom/CyberSciTech 2019: 72-79 - [c14]Wenjie Diao, Zhigang Gao, Ruichao Xu, Yunfeng Xie, Ke Yan, Hongyi Guo:
Life Assistants for the Elderly Based on Mobile Devices. DASC/PiCom/DataCom/CyberSciTech 2019: 537-542 - [c13]Yige Xu, Huijuan Lu, Minchao Ye, Ke Yan, Zhigang Gao, Qun Jin:
Random Convolutional Neural Network Based on Distributed Computing with Decentralized Architecture. HCC 2019: 504-510 - 2018
- [j11]Min Hu, Zhiwei Ji, Ke Yan, Ye Guo, Xiaowei Feng, Jiaheng Gong, Xin Zhao, Ligang Dong:
Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach. IEEE Access 6: 27760-27776 (2018) - [j10]Yanqiu Liu, Xiuhui Wang, Ke Yan:
Hand gesture recognition based on concentric circular scan lines and weighted K-nearest neighbor algorithm. Multim. Tools Appl. 77(1): 209-223 (2018) - [j9]Xiuhui Wang, Jun Wang, Ke Yan:
Gait recognition based on Gabor wavelets and (2D)2PCA. Multim. Tools Appl. 77(10): 12545-12561 (2018) - [j8]Xiuhui Wang, Ke Yan:
Automatic color correction for multi-projector display systems. Multim. Tools Appl. 77(11): 13115-13132 (2018) - [c12]Wen Shen, Jacob W. Crandall, Ke Yan, Cristina V. Lopes:
Information Design in Crowdfunding under Thresholding Policies. AAMAS 2018: 632-640 - [c11]Huijuan Lu, Yige Xu, Minchao Ye, Ke Yan, Qun Jin, Zhigang Gao:
Learning Misclassification Costs for Imbalanced Datasets, Application in Gene Expression Data Classification. ICIC (1) 2018: 513-519 - [c10]Minchao Ye, Yongqiu Xu, Huijuan Lu, Ke Yan, Yuntao Qian:
Cross-Scene Feature Selection for Hyperspectral Images Based on Cross-Domain Information Gain. IGARSS 2018: 4764-4767 - [c9]Huijuan Lu, Li Wang, Minchao Ye, Ke Yan, Qun Jin:
DNN-Based Image Classification for Software GUI Testing. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1818-1823 - [c8]Weifeng Wang, Hao Chen, Bing Lou, Ning Jin, Xizhong Lou, Ke Yan:
Data-Driven Intelligent Maintenance Planning of Smart Meter Reparations for Large-Scale Smart Electric Power Grid. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1929-1935 - [c7]Yan Song, Qun Jin, Ke Yan, Huijuan Lu, Julong Pan:
Vote Parallel SVM: An Extension of Parallel Support Vector Machine. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1942-1947 - 2017
- [j7]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 Syst. Biol. 11(S-7): 127:1-127:13 (2017) - [j6]Jing Huang, Qi Wang, Marco Fratarcangeli, Ke Yan, Catherine Pelachaud:
Multi-Variate Gaussian-Based Inverse Kinematics. Comput. Graph. Forum 36(8): 418-428 (2017) - [j5]Zhigang Gao, Hongyi Guo, Yunfeng Xie, Yanjun Luo, Huijuan Lu, Ke Yan:
ChildGuard: A Child-Safety Monitoring System. IEEE Multim. 24(4): 48-57 (2017) - [j4]Ke Yan, Zhiwei Ji, Wen Shen:
Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM. Neurocomputing 228: 205-212 (2017) - [j3]Huijuan Lu, Lei Yang, Ke Yan, Yu Xue, Zhigang Gao:
A cost-sensitive rotation forest algorithm for gene expression data classification. Neurocomputing 228: 270-276 (2017) - [j2]Huijuan Lu, Junying Chen, Ke Yan, Qun Jin, Yu Xue, Zhigang Gao:
A hybrid feature selection algorithm for gene expression data classification. Neurocomputing 256: 56-62 (2017) - [c6]Lei Yang, Huijuan Lu, Ke Yan, Minchao Ye:
A Method of Determining the Cost Weight with High-Dimensional Fitting. ChineseCSCW 2017: 233-236 - [c5]Yaqiong Meng, Huijuan Lu, Ke Yan, Minchao Ye:
Hybrid Adaboost based on Genetic Algorithm for Gene Expression Data Classification. ChineseCSCW 2017: 257-258 - [c4]Huijuan Lu, Yaqiong Meng, Ke Yan, Yu Xue, Zhigang Gao:
Classifying Non-linear Gene Expression Data Using a Novel Hybrid Rotation Forest Method. ICIC (3) 2017: 732-743 - [i2]Wen Shen, Jacob W. Crandall, Ke Yan, Cristina V. Lopes:
Information Design in Crowdfunding under Thresholding Policies. CoRR abs/1709.04049 (2017) - [i1]Ke Yan, Wen Shen, Huijuan Lu, Qun Jin:
Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services. CoRR abs/1711.07172 (2017) - 2016
- [j1]Yanqiu Liu, Huijuan Lu, Ke Yan, Haixia Xia, Chun-lin An:
Applying Cost-Sensitive Extreme Learning Machine and Dissimilarity Integration to Gene Expression Data Classification. Comput. Intell. Neurosci. 2016: 8056253:1-8056253:9 (2016) - 2012
- [c3]Ke Yan, Ho-Lun Cheng:
On Simplifying Deformation of Smooth Manifolds Defined by Large Weighted Point Sets. TJJCCGG 2012: 150-161 - 2010
- [c2]Ke Yan, Ho-Lun Cheng:
Local Modification of Skin Surface Mesh: Towards Free-Form Skin Surface Deformation. CGGA 2010: 195-205 - [c1]Ho-Lun Cheng, Ke Yan:
Mesh Deformation of Dynamic Smooth Manifolds with Surface Correspondences. MFCS 2010: 677-688
Coauthor Index
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