Portfolio item number 1
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Published in arXiv Preprint, 2021
Recommended citation: Bi, D., Shang, H. L., Yang, Y., & Zhu, H. (2021). AR-sieve Bootstrap for High-dimensional Time Series. arXiv preprint arXiv:2112.00414. https://arxiv.org/abs/2112.00414
Published in arXiv preprint, 2022
Recommended citation: Bi, D., Han, X., Nie, A., & Yang, Y. (2022). Spiked eigenvalues of high-dimensional sample autocovariance matrices: CLT and applications. arXiv preprint arXiv:2201.03181. https://arxiv.org/abs/2201.03181
Published in arXiv preprint, 2022
Recommended citation: Bi, D., Chang, L., & Yang, Y. (2022). Homogeneity and Sub-homogeneity Pursuit: Iterative Complement Clustering PCA. arXiv preprint arXiv:2203.06573. https://arxiv.org/abs/2203.06573
Published in 2023 IEEE International Conference on Data Mining (ICDM), 2023
Recommended citation: Long, Q., Anagnostopoulos, C., Parambath, S. P., & Bi, D. (2023). Feddip: Federated learning with extreme dynamic pruning and incremental regularization. In 2023 IEEE International Conference on Data Mining (ICDM) (pp. 1187-1192). https://ieeexplore.ieee.org/abstract/document/10415734
Published in IEEE Transactions on Neural Networks and Learning Systems, 2025
Recommended citation: Long, Q., Wang, Q., Anagnostopoulos, C., & Bi, D. (2025). Decentralized Personalized Federated Learning Based on a Conditional "Sparse-to-Sparser" Scheme. IEEE Transactions on Neural Networks and Learning Systems. https://ieeexplore.ieee.org/document/11060892
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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