libact: Pool-based Active Learning in Python. - Yao-Yuan Yang; Shao-Chuan Lee; Yu-An Chung; Tung-En Wu; Si-An Chen; Hsuan-Tien Lin (CoRR, 2017)

Active deep Q-learning with demonstration. - Si-An Chen; Voot Tangkaratt; Hsuan-Tien Lin; Masashi Sugiyama (Mach. Learn., 2020)

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)

A Unified View of cGANs with and without Classifiers. - Si-An Chen; Chun-Liang Li; Hsuan-Tien Lin (NeurIPS, 2021)

Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration. - Si-An Chen; Chun-Liang Li; Hsuan-Tien Lin (CoRR, 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)

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

TSMixer: An all-MLP Architecture for Time Series Forecasting. - Si-An Chen; Chun-Liang Li; Nate Yoder; Sercan Ö. Arik; Tomas Pfister (CoRR, 2023)

Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance. - Paul Kuo-Ming Huang; Si-An Chen; Hsuan-Tien Lin (CoRR, 2023)

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. - Cheng-Yu Hsieh; Si-An Chen; Chun-Liang Li; Yasuhisa Fujii; Alexander Ratner; Chen-Yu Lee; Ranjay Krishna; Tomas Pfister (CoRR, 2023)

TSMixer: An All-MLP Architecture for Time Series Forecast-ing. - Si-An Chen; Chun-Liang Li; Sercan Ö. Arik; Nathanael C. Yoder; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

TableRAG: Million-Token Table Understanding with Language Models. - Si-An Chen; Lesly Miculicich; Julian Eisenschlos; Zifeng Wang 002; Zilong Wang 002; Yanfei Chen; Yasuhisa Fujii; Hsuan-Tien Lin; Chen-Yu Lee; Tomas Pfister (NeurIPS, 2024)

Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification. - Si-An Chen; Hsuan-Tien Lin; Chih-Jen Lin (NAACL (Findings), 2025)