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2020 – today
- 2023
[j5]Jiehuang Zhang, Ying Shu, Han Yu:
Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs. Int. J. Crowd Sci. 7(1): 32-39 (2023)- [j4]Yan Yan
, Ying Shu, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang:
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data. Int. J. Comput. Vis. 131(8): 2097-2121 (2023) - 2022
- [j3]Lingbing Tao, Hui Xu, Ying Shu, Zhixin Tie:
An Efficient Search Method Using Features to Match Joint Keywords on Encrypted Cloud Data. IEEE Access 10: 42836-42843 (2022) - 2021
- [j2]Patrick P. K. Chan, Fengzhi Luo, Zitong Chen, Ying Shu, Daniel S. Yeung:
Transfer learning based countermeasure against label flipping poisoning attack. Inf. Sci. 548: 450-460 (2021) - [c5]Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang:
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data. CVPR 2021: 11916-11925 - [c4]Jiehuang Zhang, Ying Shu, Han Yu:
Human-Machine Interaction for Autonomous Vehicles: A Review. HCI (13) 2021: 190-201 - [c3]Ying Shu, Jiehuang Zhang, Han Yu:
Fairness in Design: A Tool for Guidance in Ethical Artificial Intelligence Design. HCI (13) 2021: 500-510
2010 – 2019
- 2014
- [c2]Patrick P. K. Chan, Ying Shu:
Face Liveness Detection by Brightness Difference. ICMLC (CCIS volume) 2014: 144-150
2000 – 2009
- 2000
- [c1]Ying Shu, Michael A. Arbib, Jim-Shih Liaw:
Supporting connections between simulators and databases. IRMA Conference 2000: 590-593
1990 – 1999
- 1999
- [j1]Ying Shu, Xiaping Xie, Jim-Shih Liaw, Theodore W. Berger:
A protocol-based simulation for linking computational and experimental studies. Neurocomputing 26-27: 1039-1047 (1999)
Coauthor Index
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