Recognizing heterogeneous cross-domain data via generalized joint distribution adaptation. - Yuan-Ting Hsieh; Shi-Yen Tao; Yao-Hung Hubert Tsai; Yi-Ren Yeh; Yu-Chiang Frank Wang (ICME, 2016)

Variation-Aware Reliable Many-Core System Design by Exploiting Inherent Core Redundancy. - Huai-Ting Li; Ching-Yao Chou; Yuan-Ting Hsieh; Wei-Ching Chu; An-Yeu Wu (IEEE Trans. Very Large Scale Integr. Syst., 2017)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

Empowering Federated Learning for Massive Models with NVIDIA FLARE. - Holger R. Roth; Ziyue Xu 001; Yuan-Ting Hsieh; Adithya Renduchintala; Isaac Yang; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Kevin Lu; Kristopher Kersten; Camir Ricketts; Daguang Xu; et al. (CoRR, 2024)

Supercharging Federated Learning with Flower and NVIDIA FLARE. - Holger R. Roth; Daniel J. Beutel; Yan Cheng; Javier Fernández-Marqués; Heng Pan; Chester Chen; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Isaac Yang; Yuan-Ting Hsieh; Ziyue Xu 001; et al. (CoRR, 2024)

Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. - Ziyue Xu 001; Yuan-Ting Hsieh; Zhihong Zhang 001; Holger R. Roth; Chester Chen; Yan Cheng; Andrew Feng (CoRR, 2025)