Parameter Selection: Why We Should Pay More Attention to It. - Jie-Jyun Liu; Tsung-Han Yang; Si-An Chen; Chih-Jen Lin (ACL/IJCNLP (2), 2021)

Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN. - Si-An Chen; Jie-Jyun Liu; Tsung-Han Yang; Hsuan-Tien Lin; Chih-Jen Lin (NAACL-HLT, 2022)

QoS-Aware Fog Service Orchestration for Industrial Internet of Things. - Jen-Sheng Tsai; I-Hsun Chuang; Jie-Jyun Liu; Yau-Hwang Kuo; Wanjiun Liao (IEEE Trans. Serv. Comput., 2022)

Linear Classifier: An Often-Forgotten Baseline for Text Classification. - Yu-Chen Lin; Si-An Chen; Jie-Jyun Liu; Chih-Jen Lin (ACL (2), 2023)

Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification. - Thanh-Tung Nguyen; Viktor Schlegel; Abhinav Ramesh Kashyap; Stefan Winkler 001; Shao-Syuan Huang; Jie-Jyun Liu; Chih-Jen Lin (CoRR, 2023)

A Step-by-step Introduction to the Implementation of Automatic Differentiation. - Yu-Hsueh Fang; He-Zhe Lin; Jie-Jyun Liu; Chih-Jen Lin (CoRR, 2024)