Chia-Yuan Chang

According to our database, Chia-Yuan Chang authored at least 21 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Advancing Table Understanding of Large Language Models via Feature Re-ordering.

Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu

SIGKDD Explor., June, 2025

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs.

Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu

ACM Trans. Knowl. Discov. Data, February, 2025

Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning.

Sirui Ding, Yafen Liang, Chia-Yuan Chang, Cheryl Brown, Xiaoqian Jiang, Xia Ben Hu, Na Zou

J. Am. Medical Informatics Assoc., 2025

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.

Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Assessing and Enhancing Large Language Models in Rare Disease Question-answering.

Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu

CoRR, 2024

Understanding Different Design Choices in Training Large Time Series Models.

Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu

CoRR, 2024

Large Language Models As Faithful Explainers.

Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu

CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

CoRR, 2024

Learning to Compress Prompt in Natural Language Formats.

Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

TVE: Learning Meta-attribution for Transferable Vision Explainer.

Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.

Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu

CoRR, 2023

CODA: Temporal Domain Generalization via Concept Drift Simulator.

Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou

CoRR, 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu

CoRR, 2023

DISPEL: Domain Generalization via Domain-Specific Liberating.

Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na

CoRR, 2023

Towards Assumption-free Bias Mitigation.

Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou

CoRR, 2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.

Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu

CoRR, 2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou

CoRR, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.

Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Mitigating Relational Bias on Knowledge Graphs.

Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu

CoRR, 2022

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.

Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu

CoRR, 2022