Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0003-2933-6205
Scopus Author ID: 57061504500
Impact
Qualifications (Brief)
PhD(University of Alberta)
MA.Sc(Univeristy of Alberta)
B.S.(Beijing Normal University)
MA.Sc(Univeristy of Alberta)
B.S.(Beijing Normal University)
Postdoc(University of Oregon)
Research Interests/Areas
- Harmonic Analysis
- Approximation Theory
- Learning Theory
Teaching
- Sep 2018 - Dec 2018, 2185-C01, Discrete Mathematics.
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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Convergence analysis for deep sparse coding via convolutional neural networks
Li, J., Feng, H. & Zhou, D.-X., 30 Jun 2026, (Online published) In: Analysis and Applications. 41 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization
Yang, G., Li, M., Feng, H. & Zhuang, X., Feb 2026, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 48, 2, p. 1707-1719 13 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
47 Link opens in a new tab Citations (Scopus) -
Fine-Grained Analysis of Nonparametric Estimation for Pairwise Learning
Zhou, J., Huang, S., Feng, H., Wang, P. & Zhou, D.-X., 19 Feb 2026, (Online published) In: IEEE Transactions on Neural Networks and Learning Systems. 12 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
Li, M., Fang, Y., Shen, D., Feng, H., Zhuang, X., Xia, K. & Lio, P., 2026, Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. (eds.). AAAI Press, p. 23039-23046 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 27).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access5 Link opens in a new tab Citations (Scopus) -
Spherical Analysis of Learning Nonlinear Functionals
Yang, Z. (Co-first Author), Huang, S. (Co-first Author), Feng, H. (Co-first Author) & Zhou, D.-X. (Co-first Author), 4 Mar 2026, (Online published) In: Constructive Approximation. 29 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access
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GRF: A Novel Theoretical Framework for Analyzing Error Dynamics in Deep Learning
FENG, H. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research
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GRF: Approximation Analysis for Feature Extraction by Deep Convolutional Neural Networks
FENG, H. (Principal Investigator / Project Coordinator)
1/01/23 → …
Project: Research
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ResEngCtrs/Hubs: Liu Bie Ju Centre for Mathematical Sciences (LBJ) (University Fund)
LU, Y. Y. (Principal Investigator / Project Coordinator), CHAN, H. F. R. (Co-Investigator), DAI, D. (Co-Investigator), FENG, H. (Co-Investigator), HO, W. C. D. (Co-Investigator), LIAN, H. (Co-Investigator), LIU, H. (Co-Investigator), LO, W. C. (Co-Investigator), MOU, C. (Co-Investigator), QIU, W. (Co-Investigator), SMALE, S. (Co-Investigator), WONG, S. C. R. (Co-Investigator), WYLIE, J. J. (Co-Investigator), XIANG, W. (Co-Investigator), ZHANG, S. (Co-Investigator), ZHOU, X. (Co-Investigator) & ZHUANG, X. (Co-Investigator)
1/11/97 → …
Project: Research
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GRF: Approximation-Theoretic Framework for Advanced Graph Convolutional Neural Networks
FENG, H. (Principal Investigator / Project Coordinator)
1/01/27 → …
Project: Research
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MF_RGC: Approximation-Theoretic Framework for Advanced Graph Convolutional Neural Networks
FENG, H. (Principal Investigator / Project Coordinator)
1/01/27 → …
Project: Research