Grants and Contracts per year
Personal profile
Education/Academic qualification
Doctor of Philosophy, Univ Of Calgary
1989
Master of Science, Chinese Academy of Sciences
1986
Bachelor of Science, University of Science and Technology of China
1983
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Dive into the research topics where Qiang Ye is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration from the last 5 years on country level. Dive into details by clicking on the dots.
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Robust Preconditioned Gradient Descent Algorithms for Deep Learning
8/1/22 → 7/31/25
Project: Research project
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Accurate Preconditioing for Computations of Eigenvalues of Large and Extremely Ill-conditioned Matrices
9/1/16 → 8/31/20
Project: Research project
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Collaborative Research: Robust Algorithms for Interpolation and Extrapolation in Manifold Learning
9/1/13 → 8/31/17
Project: Research project
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Accurate and Efficient Algorithms for Computing Exponentials of Large Matrices with Applications
7/15/13 → 6/30/17
Project: Research project
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Batch Normalization Preconditioning for Neural Network Training
Lange, S., Helfrich, K. & Ye, Q., 2022, In: Journal of Machine Learning Research. 23, p. 1-41 41 p.Research output: Contribution to journal › Article › peer-review
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FiberSim: A flexible open-source model of myofilament-level contraction
Kosta, S., Colli, D., Ye, Q. & Campbell, K. S., Jan 18 2022, In: Biophysical Journal. 121, 2, p. 175-182 8 p.Research output: Contribution to journal › Article › peer-review
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Adaptive Weighted Discriminator for Training Generative Adversarial Networks
Zadorozhnyy, V., Cheng, Q. & Ye, Q., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. p. 4779-4788 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
A robust deep learning approach for automatic classification of seizures against non-seizures
Yao, X., Li, X., Ye, Q., Huang, Y., Cheng, Q. & Zhang, G. Q., Feb 2021, In: Biomedical Signal Processing and Control. 64, 102215.Research output: Contribution to journal › Article › peer-review
Open Access23 Scopus citations -
Eigenvalue normalized recurrent neural networks for short term memory
Helfrich, K. & Ye, Q., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. p. 4115-4122 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review