The Development of Wireless Sensor Network for ECG Monitoring. - Jun-Liang Lin; Hsien-Chieh Liu; Yu-Ting Tai; Hsin-Hsien Wu; Shuo-Jen Hsu; Fu-Shan Jaw; You-Yin Chen (EMBC, 2006)

The Maximum a Posterior Estimation of Darts. - Jun-Liang Lin; Yi-Lin Sung; Cheng-Yao Hong; Han-Hung Lee; Tyng-Luh Liu (ICIP, 2021)

ezGeno: an automatic model selection package for genomic data analysis. - Jun-Liang Lin; Tsung-Ting Hsieh; Yi-An Tung; Xuan-Jun Chen; Yu-Chun Hsiao; Chia-Lin Yang; Tyng-Luh Liu; Chien-Yu Chen 001 (Bioinform., 2021)

Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices. - Jun-Liang Lin; Sheng-De Wang (CoRR, 2021)

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. - Jun-Liang Lin; Ranganath Krishnan; Keyur Ruganathbhai Ranipa; Mahesh Subedar; Vrushabh Sanghavi; Meena Arunachalam; Omesh Tickoo; Ravishankar Iyer 001; Mahmut Taylan Kandemir (IISWC, 2023)

Parallelization Strategies for DLRM Embedding Bag Operator on AMD CPUs. - Krishnakumar Nair; Avinash-Chandra Pandey; Siddappa Karabannavar; Meena Arunachalam; John Kalamatianos; Varun Agrawal; Saurabh Gupta 002; Ashish Sirasao; Elliott Delaye; Steven K. Reinhardt; Rajesh Vivekanandham; Ralph Wittig; et al. (IEEE Micro, 2024)

Thorough Characterization and Analysis of Large Transformer Model Training At-Scale. - Scott Cheng; Jun-Liang Lin; Murali Emani; Siddhisanket Raskar; Sam Foreman; Zhen Xie; Venkatram Vishwanath; Mahmut Taylan Kandemir (Proc. ACM Meas. Anal. Comput. Syst., 2024)