Improvement of prognostic models for ESRD mortality by the bootstrap method with random hot deck imputation. - Ting-Ru Lin; Ching-Jung Yang; I-Jen Chiang (GrC, 2014)

Design Space Exploration of Memory Controller Placement in Throughput Processors with Deep Learning. - Ting-Ru Lin; Yunfan Li 002; Massoud Pedram; Lizhong Chen (IEEE Comput. Archit. Lett., 2019)

Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework. - Ting-Ru Lin; Drew Penney; Massoud Pedram; Lizhong Chen (CoRR, 2019)

A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study. - Ting-Ru Lin; Drew Penney; Massoud Pedram; Lizhong Chen (HPCA, 2020)

A Stochastic Framework for Virtualization Layer Deployment in Vehicular Cloud Networks. - Ting-Ru Lin; Po-Han Huang; Luhao Wang; Massoud Pedram (ICC Workshops, 2020)

Retiming for High-performance Superconductive Circuits with Register Energy Minimization. - Ting-Ru Lin; Massoud Pedram (ICCAD, 2020)

The Intention and Influence Factors of Nurses' Participation in Telenursing. - Mei-Ying Chang; Fang-Li Kuo; Ting-Ru Lin; Chin-Ching Li; Tso-Ying Lee (Informatics, 2021)

The Electrical Properties of a-IGZO TFT Prediction Based on Variational Autoencoder Model. - Shih-Shin Hu; Kean-Thye Bea; Wei-Hsuan Lin; Da Zheng Lin; Xiu-Zhi Chen; Ting-Ru Lin; Hsin-Hui Hu; Yen-Lin Chen; Kun-Ming Chen; Wai-Khuen Cheng (ICCE-Taiwan, 2023)

Prediction of Electrical Characteristics of a-IGZO TFT Based on Transfer Learning-Based Variational Autoencoder. - Khean Thye Bea; Shih-Shin Hu; Wei-Hsuan Lin; Da Zheng Lin; Hsin-Hui Hu; Xiu-Zhi Chen; Ting-Ru Lin; Yen-Lin Chen; Kun-Ming Chen; Wai-Khuen Cheng (SMC, 2023)