Jiawei Zhang
Assistant Professor of Statistics

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Affiliations

Machine learning, privacy-aware decentralized learning, deep learning, statistical inference, model selection and diagnostics

Selected Publications:

J. Zhang, J. Ding, Y. Yang, “Is a Classification Procedure Good Enough? A Goodness‐of‐Fit Assessment Tool for Classification Learning,” Journal of the American Statistical Association, (2023)
J.Zhang,J.Ding,Y.Yang,“TargetCross‐Validation,”Bernoulli,(2023)
X. Wang, J. Zhang, M. Hong, Y. Yang, J. Ding, “Parallel Assisted Learning,” IEEE Transactions on Signal Processing, (2022)
J. Zhang, Y. Yang, J. Ding, “Information Criteria for Model Selection,” Wiley Interdisciplinary Reviews: Computational Statistics, (2023)
X.Tang,J.Zhang(co‐firstauthor),Y.He,X.Zhang,Z.Lin,S.Partarrieu,E.B.Hanna,Z.Ren,Y.Yang,X.Wang,N.
Li, J. Ding, J. Liu, “Multi‐task learning for single‐cell multi‐modality biology,” Nature Communications, (2023)
E. Diao, G. Wang, J. Zhang, Y. Yang, J. Ding, V. Tarokh, “Pruning Deep Neural Networks from a Sparsity Perspective,” ICLR 2023, (2023)
C. Chen, J. Zhang (co‐first author), J. Ding, Y. Zhou, “Assisted Learning with Unsupervised Domain Adaptation,” Abstracts of papers IEEE International Symposium on Information Theory 2, (2023)