Projects per year
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Collaborations and top research areas from the last five years
Projects
- 31 Finished
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FRG: Collaborative Research: Dynamic Tensors: Statistical Methods, Theory, and Applications
Xiao, H. (CoPI), Zhang, C. (PI) & Chen, R. (CoPI)
9/1/21 → 8/31/25
Project: Research
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HDR TRIPODS: Data Science Principles of the Human-Machine Convergence
Roberts, F. (PI), Mischaikow, K. (CoPI), Zhang, C. (CoPI), Stone, M. (CoPI), Bekris, K. (CoPI), Pearce, E. E. (CoI) & Booth, A. A. (PI)
9/30/17 → 8/31/23
Project: Research
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BIGDATA:F: Statistical Learning with Large Dynamic Tensor Data
Chen, R. (PI), Zhang, C. (CoPI), Liu, R. (CoPI) & Yang, D. (CoPI)
9/1/17 → 8/31/23
Project: Research
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Collaborative Research: Statistical Methods, Algorithms, and Theory for Large Tensors
Zhang, C. (PI)
9/1/17 → 8/31/21
Project: Research
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Choosing the p in Lp loss: adaptive rates for symmetric mean estimation
Kao, Y. C., Xu, M. & Zhang, C. H., 2024, In: Proceedings of Machine Learning Research. 247, p. 2795-2839 45 p.Research output: Contribution to journal › Conference article › peer-review
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CP factor model for dynamic tensors
Han, Y., Yang, D., Zhang, C. H. & Chen, R., Nov 1 2024, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 86, 5, p. 1383-1413 31 p.Research output: Contribution to journal › Article › peer-review
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Simultaneous Decorrelation of Matrix Time Series
Han, Y., Chen, R., Zhang, C. H. & Yao, Q., 2024, In: Journal of the American Statistical Association. 119, 546, p. 957-969 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
TENSOR FACTOR MODEL ESTIMATION BY ITERATIVE PROJECTION
Han, Y., Chen, R., Yang, D. & Zhang, C. H., Dec 2024, In: Annals of Statistics. 52, 6, p. 2641-2667 27 p.Research output: Contribution to journal › Article › peer-review
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Adaptive Linear Estimating Equations
Ying, M., Khamaru, K. & Zhang, C. H., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution