Chia-Yuan Chang

28 papers A* 2A 1Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
FaithLM: Towards Faithful Explanations for Large Language Models.
EACL (Volume 1: Long Papers)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu
2026 J jnl
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data.
CoRR
Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou
2025 J jnl
Advancing Table Understanding of Large Language Models via Feature Re-ordering.
SIGKDD Explor.
Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu
2025 — conf
CODA: Temporal Domain Generalization via Concept Drift Simulator.
KDD (2)
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2025 J jnl
Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning.
J. Am. Medical Informatics Assoc.
Sirui Ding, Yafen Liang, Chia-Yuan Chang, Cheryl Brown, Xiaoqian Jiang, Xia Ben Hu, Na Zou
2025 J jnl
Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs.
ACM Trans. Knowl. Discov. Data
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2025 J jnl
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting.
SIGKDD Explor.
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu
2025 — conf
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
ACL (1)
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
2025 J jnl
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
CoRR
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
2024 J jnl
Assessing and Enhancing Large Language Models in Rare Disease Question-answering.
CoRR
Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu
2024 J jnl
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024 A* conf
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.
ICML
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024 J jnl
Large Language Models As Faithful Explainers.
CoRR
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
2024 — conf
Learning to Compress Prompt in Natural Language Formats.
NAACL-HLT
Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu
2024 J jnl
Learning to Compress Prompt in Natural Language Formats.
CoRR
Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu
2024 A* conf
TVE: Learning Meta-attribution for Transferable Vision Explainer.
ICML
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024 J jnl
Understanding Different Design Choices in Training Large Time Series Models.
CoRR
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
2023 J jnl
CODA: Temporal Domain Generalization via Concept Drift Simulator.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2023 J jnl
DISPEL: Domain Generalization via Domain-Specific Liberating.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na
2023 A conf
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
CIKM
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
2023 J jnl
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
CoRR
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 Ben Hu
2023 J jnl
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
2023 J jnl
LETA: Learning Transferable Attribution for Generic Vision Explainer.
CoRR
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023 J jnl
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.
CoRR
Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu
2023 J jnl
Towards Assumption-free Bias Mitigation.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
2023 J jnl
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.
CoRR
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
2022 J jnl
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.
CoRR
Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu
2022 J jnl
Mitigating Relational Bias on Knowledge Graphs.
CoRR
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu