Ying-Jia Lin

According to our database, Ying-Jia Lin authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Relation-Aware Image Captioning with Hybrid-Attention for Explainable Visual Question Answering.

Ying-Jia Lin, Ching-Shan Tseng, Hung-Yu Kao

J. Inf. Sci. Eng., May, 2024

GViG: Generative Visual Grounding Using Prompt-Based Language Modeling for Visual Question Answering.

Yi-Ting Li, Ying-Jia Lin, Chia-Jen Yeh, Chun-Yi Lin, Hung-Yu Kao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration.

Chi-Min Chiu, Ying-Jia Lin, Hung-Yu Kao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

CFEVER: A Chinese Fact Extraction and VERification Dataset.

Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LAD: Layer-Wise Adaptive Distillation for BERT Model Compression.

Ying-Jia Lin, Kuan-Yu Chen, Hung-Yu Kao

Sensors, February, 2023

Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation.

Chun Lin, Ying-Jia Lin, Chia-Jen Yeh, Yi-Ting Li, Ching Yang, Hung-Yu Kao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improved Unsupervised Chinese Word Segmentation Using Pre-trained Knowledge and Pseudo-labeling Transfer.

Hsiu-Wen Li, Ying-Jia Lin, Yi-Ting Li, Chun Lin, Hung-Yu Kao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

IKM_Lab at BioLaySumm Task 1: Longformer-based Prompt Tuning for Biomedical Lay Summary Generation.

Yu-Hsuan Wu, Ying-Jia Lin, Hung-Yu Kao

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

Relation-Aware Image Captioning for Explainable Visual Question Answering.

Ching-Shan Tseng, Ying-Jia Lin, Hung-Yu Kao

Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2022

Unsupervised Single Document Abstractive Summarization using Semantic Units.

Jhen-Yi Wu, Ying-Jia Lin, Hung-Yu Kao

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Few-shot Text Classification with Saliency-equivalent Concatenation.

Ying-Jia Lin, Yu-Fang Chang, Hung-Yu Kao, Hsin-Yang Wang, Mu Liu

Proceedings of the 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2022

2020

Enhance Content Selection for Multi-Document Summarization with Entailment Relation.

Yu-Yun Wang, Jhen-Yi Wu, Tzu-Hsuan Chou, Ying-Jia Lin, Hung-Yu Kao

Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Knowledge Distillation on Extractive Summarization.

Ying-Jia Lin, Daniel Tan, Tzu-Hsuan Chou, Hung-Yu Kao, Hsin-Yang Wang

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2020

2019

Medical Data Augmentation Using Generative Adversarial Networks : X-ray Image Generation for Transfer Learning of Hip Fracture Detection.

Ying-Jia Lin, I-Fang Chung

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019