Naichen Shi

Orcid: 0009-0003-1700-9159

According to our database1, Naichen Shi authored at least 14 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data.
Technometrics, July, 2025

Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models.
CoRR, June, 2025

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration.
IEEE Trans Autom. Sci. Eng., 2025

2024
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification.
IEEE Trans Autom. Sci. Eng., July, 2024

Personalized PCA: Decoupling Shared and Unique Features.
J. Mach. Learn. Res., 2024

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components.
CoRR, 2024

2023
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing.
Technometrics, July, 2023

Personalized Dictionary Learning for Heterogeneous Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Adam Can Converge Without Any Modification On Update Rules.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.
CoRR, 2021

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.
CoRR, 2021

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning.
CoRR, 2021

The Internet of Federated Things (IoFT).
IEEE Access, 2021

RMSprop converges with proper hyper-parameter.
Proceedings of the 9th International Conference on Learning Representations, 2021


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