Ying-Jia Lin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Document Summarization

Language Modeling

Chinese Word Segmentation

Fracture Detection

Top Venues

J. Inf. Sci. Eng.

Publications

Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao
CFEVER: A Chinese Fact Extraction and VERification Dataset. CoRR (2024)
Yi-Ting Li, Ying-Jia Lin, Chia-Jen Yeh, Chun-Yi Lin, Hung-Yu Kao
GViG: Generative Visual Grounding Using Prompt-Based Language Modeling for Visual Question Answering. PAKDD (6) (2024)
Chi-Min Chiu, Ying-Jia Lin, Hung-Yu Kao
Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration. PAKDD (3) (2024)
Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao
CFEVER: A Chinese Fact Extraction and VERification Dataset. AAAI (2024)
Ying-Jia Lin, Ching-Shan Tseng, Hung-Yu Kao
Relation-Aware Image Captioning with Hybrid-Attention for Explainable Visual Question Answering. J. Inf. Sci. Eng. 40 (3) (2024)
Ying-Jia Lin, Kuan-Yu Chen, Hung-Yu Kao
LAD: Layer-Wise Adaptive Distillation for BERT Model Compression. Sensors 23 (3) (2023)
Hsiu-Wen Li, Ying-Jia Lin, Yi-Ting Li, Chun Lin, Hung-Yu Kao
Improved Unsupervised Chinese Word Segmentation Using Pre-trained Knowledge and Pseudo-labeling Transfer. EMNLP (2023)
Chun Lin, Ying-Jia Lin, Chia-Jen Yeh, Yi-Ting Li, Ching Yang, Hung-Yu Kao
Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation. EMNLP (Findings) (2023)
Yu-Hsuan Wu, Ying-Jia Lin, Hung-Yu Kao
IKM_Lab at BioLaySumm Task 1: Longformer-based Prompt Tuning for Biomedical Lay Summary Generation. BioNLP@ACL (2023)
Ying-Jia Lin, Yu-Fang Chang, Hung-Yu Kao, Hsin-Yang Wang, Mu Liu
Few-shot Text Classification with Saliency-equivalent Concatenation. AIKE (2022)
Ching-Shan Tseng, Ying-Jia Lin, Hung-Yu Kao
Relation-Aware Image Captioning for Explainable Visual Question Answering. TAAI (2022)
Jhen-Yi Wu, Ying-Jia Lin, Hung-Yu Kao
Unsupervised Single Document Abstractive Summarization using Semantic Units. AACL/IJCNLP (1) (2022)
Ying-Jia Lin, Daniel Tan, Tzu-Hsuan Chou, Hung-Yu Kao, Hsin-Yang Wang
Knowledge Distillation on Extractive Summarization. AIKE (2020)
Yu-Yun Wang, Jhen-Yi Wu, Tzu-Hsuan Chou, Ying-Jia Lin, Hung-Yu Kao
Enhance Content Selection for Multi-Document Summarization with Entailment Relation. TAAI (2020)
Ying-Jia Lin, I-Fang Chung
Medical Data Augmentation Using Generative Adversarial Networks : X-ray Image Generation for Transfer Learning of Hip Fracture Detection. TAAI (2019)