Projects and Grants per year
Personal profile
Education/Academic qualification
Doctor of Philosophy, University 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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Collaborations and top research areas from the last five years
Recent external collaboration from the last 5 years on country level. Dive into details by clicking on the dots.
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EAGER: PBI: Modeling Place-Based Innovation by Leveraging AI-Enabled Dynamic Graph Techniques
Cheng, Q. (PI) & Ye, Q. (CoPI)
9/1/24 → 8/31/26
Project: Research project
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RI: Small: Optimal Transport Generative Adversarial Networks: Theory, Algorithms, and Applications
Ye, Q. (PI), Cheng, Q. (CoI) & Zhang, Y. (CoI)
10/1/23 → 9/30/26
Project: Research project
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Robust Preconditioned Gradient Descent Algorithms for Deep Learning
Ye, Q. (PI) & Nguyen, D. (Former CoI)
8/1/22 → 7/31/25
Project: Research project
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Breaking Time Invariance: Assorted-Time Normalization for RNNs
Pospisil, C., Zadorozhnyy, V. & Ye, Q., Apr 2024, In: Neural Processing Letters. 56, 2, 78.Research output: Contribution to journal › Article › peer-review
Open Access -
Modeling imaged welding process dynamic behaviors using Generative Adversarial Network (GAN) for a new foundation to monitor weld penetration using deep learning
Mucllari, E., Cao, Y., Ye, Q. & Zhang, Y. M., Aug 30 2024, In: Journal of Manufacturing Processes. 124, p. 187-195 9 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum
Hu, M., Lou, Y., Wang, B., Yan, M., Yang, X. & Ye, Q., Apr 2023, In: Journal of Scientific Computing. 95, 1, 33.Research output: Contribution to journal › Article › peer-review
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A method for computing a few eigenpairs of large generalized eigenvalue problems
Alkilayh, M., Reichel, L. & Ye, Q., Jan 2023, In: Applied Numerical Mathematics. 183, p. 108-117 10 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Deep learning based real-time and in-situ monitoring of weld penetration: Where we are and what are needed revolutionary solutions?
Yu, R., Cao, Y., Chen, H., Ye, Q. & Zhang, Y. M., May 5 2023, In: Journal of Manufacturing Processes. 93, p. 15-46 32 p.Research output: Contribution to journal › Review article › peer-review
Open Access37 Scopus citations