Projects per year
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Dive into the research topics where Zuofeng Shang 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
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Projects
- 10 Finished
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Collaborative Research: Nonparametric Bayesian Aggregation for Massive Data
Shang, Z. (PI)
8/1/19 → 8/31/20
Project: Research project
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CDS&E: Collaborative Research: Scalable Nonparametric Learning for Massive Data with Statistical Guarantees
Shang, Z. (PI)
8/1/19 → 7/31/23
Project: Research project
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Improving the management of Obstructive Sleep Apnea and Insomnia in General Practice
Shang, Z. (PI) & Adams, R. R. (PI)
8/1/19 → 7/31/23
Project: Research project
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Collaborative Research: Nonparametric Bayesian Aggregation for Massive Data
Shang, Z. (PI)
8/1/19 → 8/31/20
Project: Research project
-
CDS&E: Collaborative Research: Scalable Nonparametric Learning for Massive Data with Statistical Guarantees
Shang, Z. (PI)
8/1/18 → 12/31/19
Project: Research project
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SCALABLE INFERENCE FOR NONPARAMETRIC STOCHASTIC APPROXIMATION IN REPRODUCING KERNEL HILBERT SPACES
Liu, M., Shang, Z. & Yang, Y., Apr 2026, In: Annals of Statistics. 54, 2, p. 771-795 25 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
SCALABLE INFERENCE IN FUNCTIONAL LINEAR REGRESSION WITH STREAMING DATA
Xie, J., Shi, E., Sang, P., Shang, Z., Jiang, B. & Kong, L., Feb 2026, In: Annals of Statistics. 54, 1, p. 120-145 26 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Variational Nonparametric Inference in Stochastic Block Models with Functional Covariates
Shang, Z., Sang, P., Feng, Y. & Jin, C., 2026, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
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Consistent Estimation of the Number of Communities in Non-uniform Hypergraph Model
Shang, Z., Zhang, Z. & Feng, Y., Jun 2025, In: Stat. 14, 2, e70066.Research output: Contribution to journal › Article › peer-review
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Information-theoretic limits for testing community structures in weighted networks
Yuan, M. & Shang, Z., 2025, In: Electronic Journal of Statistics. 19, 1, p. 2958-2989 32 p.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Findings from New Jersey Institute of Technology in the Area of Mathematics Described (Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary)
3/3/26
1 item of Media coverage
Press/Media: Press / Media
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Findings on Statistics Detailed by Investigators at New Jersey Institute of Technology (Consistent Estimation of the Number of Communities In Non-uniform Hypergraph Model)
6/13/25
1 item of Media coverage
Press/Media: Press / Media
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Reports Summarize Networks Findings from New Jersey Institute of Technology (Deep Neural Network Classifier for Multidimensional Functional Data)
6/28/23
1 item of Media coverage
Press/Media: Press / Media
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FOR THE CLASS OF 2025, RESILIENCY AND HELP ARE THE KEYS TO SUCCESS
Basu Roy, S., Li, M., Guvendiren, M., Biswal, B., Deek, F., Barden, P., Kosovichev, A., Wohn, D., Chen, Y., Flammang-Lockyer, B., Mitra, S., Fresneda Fernandez, J. E., Esperdy, G., Boufadel, M., Simon, L., Cummings, L., Wang, C., Shang, Z., Matveev, V., Ansari, N., Koutis, I., Zhang, H., Bandelt, M., Adams, M. & Theodore, G.
9/27/21
1 item of Media coverage
Press/Media: Press / Media