5.3 A 2-channel -83.2dB crosstalk 0.061mm2 CCIA with an orthogonal frequency chopping technique. - Yi-Lin Tsai; Feng-Wen Lee; Tzu-Ying Chen; Tsung-Hsien Lin (ISSCC, 2015)

A current feedback instrumentation amplifier with chopping and dynamic element matching techniques and employing the current-reuse technique in input/feedback stages. - Tzu-Ying Chen; Yi-Lin Tsai; Tsung-Hsien Lin (VLSI-DAT, 2017)

What are the Better Gamification Tools for Elementary School Teachers? - Ming-Shiou Kuo; Tsung-Yen Chuang; Yen-Ning Su; Tzu-Ying Chen; Bo-Yau Cheng (IIAI-AAI, 2018)

Low-Complexity Resource Allocation for Downlink Multicarrier NOMA Systems. - Chin-Liang Wang; Tzu-Ying Chen; Yung-Fang Chen; Dong-Shing Wu (PIMRC, 2018)

An Application of Text Detection and Recognition for Electronic Design Automation. - Chih-Chang Yu; Hsiao-Wei Chen; Tzu-Ying Chen; Po-Hao Chen; Hsu-Yung Cheng (ICCE-TW, 2020)

Making socioeconomic health inequality comparisons when health concentration curves intersect. - Tzu-Ying Chen; Yi-Hsin Elsa Hsu; Rachel J. Huang; Larry Y. Tzeng (Soc. Choice Welf., 2021)

Risk Management in Cross-Border E-Commerce by AIoT Technology. - Chao-Hung Chiang; Liang-Bi Chen; Szu-Yu Kuo; Tzu-Ying Chen; Xin-Chen Chen (ICCE-TW, 2022)

TMUNLP at the NTCIR-16 FinNum-3 Task: Multi-task Learning on BERT for Claim Detection and Numeral Category Classification. - Tzu-Ying Chen; Yu-Wen Chiu; Hui-Lun Lin; Chia-Tzu Lin; Yung-Chung Chang; Chun-Wei Tung (NTCIR, 2022)

Using Multi-task Deep Neural Network to Explore Person Interaction from Social Media. - Yung-Chun Chang; Tzu-Ying Chen; Ting-Yu Lin; Yu-Lun Hsieh (WI/IAT, 2022)

Understanding the Clinical Context of Medication Change Events in Clinical Narratives using Pre-trained Clinical Language Models. - Tzu-Ying Chen; Jean Aristide Aquino; Yu-Wen Chiu; Wen-Chao Yeh; Yung-Chun Chang (ICMHI, 2023)

Incremented Scence Classification on Satellite Imagery Using Feature Map Distillation and Classifier Discrepancy. - Chih-Chang Yu; Tzu-Ying Chen; Hsu-Yung Cheng (IGARSS, 2023)

Clinical narrative-aware deep neural network for emergency department critical outcome prediction. - Min-Chen Chen; Ting-Yun Huang; Tzu-Ying Chen; Panchanit Boonyarat; Yung-Chun Chang (J. Biomed. Informatics, 2023)

A pre-trained language model for emergency department intervention prediction using routine physiological data and clinical narratives. - Ting-Yun Huang; Chee-Fah Chong; Heng-Yu Lin; Tzu-Ying Chen; Yung-Chun Chang; Ming-Chin Lin (Int. J. Medical Informatics, 2024)

Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits. - Tzu-Ying Chen; Ting-Yun Huang; Yung-Chun Chang (J. Biomed. Informatics, 2024)