RMSprop converges with proper hyper-parameter. - Naichen Shi; Dawei Li 010; Mingyi Hong 001; Ruoyu Sun 001 (ICLR, 2021)

The Internet of Federated Things (IoFT). - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Jionghua Jin 001; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (IEEE Access, 2021)

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning. - Naichen Shi; Ruichen Li; Sun Youran (CoRR, 2021)

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. - Naichen Shi; Fan Lai; Raed Al Kontar; Mosharaf Chowdhury (CoRR, 2021)

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. - Raed Kontar; Naichen Shi; Xubo Yue; Seokhyun Chung; Eunshin Byon; Mosharaf Chowdhury; Judy Jin; Wissam Kontar; Neda Masoud; Maher Nouiehed; Chinedum Emmanuel Okwudire; Garvesh Raskutti; et al. (CoRR, 2021)

Adam Can Converge Without Any Modification On Update Rules. - Yushun Zhang; Congliang Chen; Naichen Shi; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2022)

Personalized Dictionary Learning for Heterogeneous Datasets. - Geyu Liang; Naichen Shi; Raed Al Kontar; Salar Fattahi (NeurIPS, 2023)

Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing. - Naichen Shi; Raed Al Kontar (Technometrics, 2023)

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. - Naichen Shi; Salar Fattahi; Raed Al Kontar (CoRR, 2024)

Personalized PCA: Decoupling Shared and Unique Features. - Naichen Shi; Raed Al Kontar (J. Mach. Learn. Res., 2024)

Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. - Naichen Shi; Fan Lai; Raed Al Kontar; Mosharaf Chowdhury (IEEE Trans Autom. Sci. Eng., 2024)

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration. - Naichen Shi; Hao Yan; Shenghan Guo; Raed Al Kontar (IEEE Trans Autom. Sci. Eng., 2025)

Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models. - Haoyi Song; Ruihan Ji; Naichen Shi; Fan Lai; Raed Al Kontar (CoRR, 2025)

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data. - Jiuyun Hu; Naichen Shi; Raed Al Kontar; Hao Yan (Technometrics, 2025)