Construction Cost Index Prediction: A Visibility Graph Network Method. - Shengzhong Mao; Ching-Hsun Tseng; Jiayu Shang; Yuping Wu 001; Xiao-Jun Zeng (IJCNN, 2021)

UPANets: Learning from the Universal Pixel Attention Networks. - Ching-Hsun Tseng; Shin-Jye Lee; Jia-Nan Feng; Shengzhong Mao; Yuping Wu 001; Jiayu Shang; Mou-Chung Tseng; Xiao-Jun Zeng (CoRR, 2021)

On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning? - Yuping Wu 001; Lifeng Han; Valerio Antonini; Goran Nenadic (CoRR, 2022)

UPANets: Learning from the Universal Pixel Attention Neworks. - Ching-Hsun Tseng; Shin-Jye Lee; Jia-Nan Feng; Shengzhong Mao; Yuping Wu 001; Jiayu Shang; Xiao-Jun Zeng (Entropy, 2022)

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. - Samuel Belkadi; Lifeng Han; Yuping Wu 001; Goran Nenadic (IEEE Big Data, 2023)

Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (BioNLP@ACL, 2023)

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. - Viktor Schlegel; Hao Li 074; Yuping Wu 001; Anand Subramanian 004; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Daniel Beck; Xiao-Jun Zeng; Riza Theresa Batista-Navarro; Stefan Winkler 001; Goran Nenadic (CLEF (Working Notes), 2023)

EDU-level Extractive Summarization with Varying Summary Lengths. - Yuping Wu 001; Ching-Hsun Tseng; Jiayu Shang; Shengzhong Mao; Goran Nenadic; Xiao-Jun Zeng (EACL (Findings), 2023)

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (CoRR, 2023)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Tharindu Madusanka; Iqra Zahid; Jiayan Zeng; Xiaochi Wang; Xinran He; Yizhi Li; Goran Nenadic (ACL (Findings), 2024)

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction. - Aishik Nagar; Viktor Schlegel; Thanh-Tung Nguyen; Hao Li 074; Yuping Wu 001; Kuluhan Binici; Stefan Winkler 001 (CoRR, 2024)

Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework. - Yuping Wu 001; Hao Li 074; Hongbo Zhu; Goran Nenadic; Xiao-Jun Zeng (CoRR, 2024)