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Feng Yang 0011
Person information
- affiliation: Agency for Science, Technology and Research (A STAR), Institute of High Performance Computing, Department of Computing Science, Singapore
- affiliation (PhD 2011): Nanyang Technological University, Singapore
Other persons with the same name
- Feng Yang — disambiguation page
- Feng Yang 0001 — Northwestern Polytechnical University, School of Automation, MOE, Key laboratory of Information Fusion Technology, Xi'an, China
- Feng Yang 0002 — Beihang University, School of Computer Science and Engineering, Beijing Key Laboratory of Digital Media, China
- Feng Yang 0003 — Wuhan University, School of Resource and Environmental Sciences, China (and 1 more)
- Feng Yang 0004 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Feng Yang 0005 — University of Science and Technology of China, School of Management, Hefei, China
- Feng Yang 0006 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Wireless Communication Technology, Cooperative Medianet Innovation Center, China
- Feng Yang 0007 — China University of Mining and Technology, School of Mechanical Electronic and Information Engineering, Beijing, China
- Feng Yang 0008 — Google Research, Mountain View, CA, USA
- Feng Yang 0009 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Feng Yang 0010 — National Institutes of Health, National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD, USA (and 2 more)
- Feng Yang 0012 — Southern Medical University, School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China
- Feng Yang 0013 — University of Science and Technology of China, Department of Automation, Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China
- Feng Yang 0014 — Guangxi University, School of Computer, Electronics and Information, Guangxi Key Laboratory of Multimedia Communications Network Technology, Nanning, China (and 1 more)
- Feng Yang 0015 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing Key Laboratory of Signal and Information Processing, Chongqing, China
- Feng Yang 0016 — West Virginia University, Industrial and Management Systems Engineering, Morgantown, WV, USA (and 1 more)
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2020 – today
- 2024
- [j11]Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. Neural Networks 180: 106654 (2024) - [i2]Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design. CoRR abs/2401.02961 (2024) - 2022
- [j10]Manna Dai, Yang Jiang, Feng Yang, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks. Appl. Soft Comput. 130: 109646 (2022) - [c13]Siddesh Sambasivam Suseela, Feng Yang, Kezhi Mao:
A Comparative Study on Machine Learning algorithms for Knowledge Discovery. ICARCV 2022: 131-136 - [c12]Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang:
Airfoil Inverse Design using Conditional Generative Adversarial Networks. ICARCV 2022: 143-148 - 2021
- [j9]Yan Shen, Feng Yang, Mohamed Salahuddin Habibullah, Jhinaoui Ahmed, Ankit Kumar Das, Yu Zhou, Choon Lim Ho:
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques. J. Intell. Manuf. 32(6): 1753-1766 (2021) - 2020
- [c11]Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang:
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CCGRID 2020: 410-419 - [i1]Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang:
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CoRR abs/2005.11901 (2020)
2010 – 2019
- 2019
- [c10]Xulei Yang, Gabriel Tjio, Feng Yang, Jie Ding, Senthil Kumar, Shuang Leng, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su:
A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images. EMBC 2019: 4016-4019 - [c9]Ankit Das, Feng Yang, Mohamed Salahuddin Habibullah, Zhou Yu, Farzam Farbiz:
Tool Wear Health Monitoring with Limited Degradation Data. TENCON 2019: 1103-1108 - [c8]Ankit Das, Shaista Hussain, Feng Yang, Mohamed Salahuddin Habibullah, Arun Kumar:
Deep Recurrent Architecture with Attention for Remaining Useful Life Estimation. TENCON 2019: 2093-2098 - 2018
- [j8]Feng Yang, Xulei Yang, Soo Kng Teo, Gary Kee Khoon Lee, Liang Zhong, Ru San Tan, Yi Su:
Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction. Comput. Medical Imaging Graph. 70: 63-72 (2018) - [c7]Xulei Yang, Yi Su, Shuang Leng, Yong Yeo, Feng Yang, Ru San Tan, Liang Zhong:
Cardiac Image Segmentation Using Memory Persistence Methodology. EMBC 2018: 4504-4507 - 2017
- [j7]Zhao Xu, Changhua Hu, Feng Yang, Shyh-Hao Kuo, Chi-Keong Goh, Amit Gupta, Sivakumar Nadarajan:
Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines. IEEE Access 5: 25055-25068 (2017) - 2016
- [j6]Feng Yang, Mohamed Salahuddin Habibullah, Tianyou Zhang, Zhao Xu, Pin Lim, Sivakumar Nadarajan:
Health Index-Based Prognostics for Remaining Useful Life Predictions in Electrical Machines. IEEE Trans. Ind. Electron. 63(4): 2633-2644 (2016) - [c6]XuLei Yang, Feng Yang, Like Gobeawan, Si Yong Yeo, Shuang Leng, Liang Zhong, Yi Su:
A Multi-Modal Classifier for Heart Sound Recordings. CinC 2016 - 2015
- [j5]Feng Yang, Ke Zhi Mao, Gary Kee Khoon Lee, Wenyin Tang:
Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems. IEEE Trans. Knowl. Data Eng. 27(1): 88-101 (2015) - [c5]Soo Kng Teo, Jian Cheng Wong, Bo Yang, Feng Yang, Ling Feng, Toon Wei Lim, Yi Su:
Reducing False Arrhythmia Alarms in the ICU. CinC 2015: 1177-1180 - 2014
- [j4]Guoqi Li, Guangshe Zhao, Feng Yang:
Towards the online learning with Kernels in classification and regression. Evol. Syst. 5(1): 11-19 (2014) - [c4]Rubing Duan, Rick Siow Mong Goh, Feng Yang, Yong Kiam Tan, Jesus F. B. Valenzuela:
Towards building and evaluating a personalized location-based recommender system. IEEE BigData 2014: 43-48 - 2013
- [j3]Feng Yang, Ke Zhi Mao:
Improving robustness of gene ranking by multi-criterion combination with novel gene importance transformation. Int. J. Data Min. Bioinform. 7(1): 22-37 (2013) - [j2]Guoqi Li, Changyun Wen, Zhengguo Li, Aimin Zhang, Feng Yang, Kezhi Mao:
Model-Based Online Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 24(3): 356-369 (2013) - 2011
- [j1]Feng Yang, Kezhi Mao:
Robust Feature Selection for Microarray Data Based on Multicriterion Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 8(4): 1080-1092 (2011) - [c3]Ke Zhi Mao, Feng Yang, Wenyin Tang:
Regularized linear discriminant analysis and its recursive implementation for gene subset selection. CIBCB 2011: 15-21 - 2010
- [c2]Feng Yang, Ke Zhi Mao:
Improving robustness of gene ranking by resampling and permutation based score correction and normalization. BIBM 2010: 444-449
2000 – 2009
- 2009
- [c1]Feng Yang, Ke Zhi Mao:
Entropy-based Criteria Dealing with the Ties Problem in Gene Selection. ACIS-ICIS 2009: 124-129
Coauthor Index
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