Publications

Publications & Preprints.

Google Scholar

2024

2024

  1. ICML 2024
    LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
    Hongye Jin, Xiaotian Han, Jingfeng Yang, and 5 more authors
    In The Forty-first International Conference on Machine Learning, 2024
    PDF
  2. ICML 2024
    TVE: Learning Meta-attribution for Transferable Vision Explainer
    Guanchu Wang, Yu-Neng Chuang, Fan Yang, and 4 more authors
    In The Forty-first International Conference on Machine Learning, 2024
    PDF
  3. NAACL 2024
    Learning to Compress Prompt in Natural Language Formats
    Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, and 3 more authors
    In 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2024
    PDF
  4. Preprint
    Large Language Models As Faithful Explainers
    Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, and 5 more authors
    arXiv preprint arXiv:2310.01508, 2024
    PDF

2023

2023

  1. Preprint
    CODA: Temporal Domain Generalization via Concept Drift Simulator
    Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, and 3 more authors
    arXiv preprint arXiv:2310.01508, 2023
    PDF
  2. Preprint
    GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length
    Hongye Jin, Xiaotian Han, Jingfeng Yang, and 3 more authors
    arXiv preprint arXiv:2310.00576, 2023
    PDF
  3. Preprint
    DISPEL: Domain Generalization via Domain-Specific Liberating
    Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, and 2 more authors
    arXiv preprint arXiv:2307.07181, 2023
    PDF
  4. NeurIPS 2023
    Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
    Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, and 3 more authors
    In NeurIPS 2023 AI for Science Workshop, 2023
    PDF
  5. CIKM 2023
    DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research
    Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, and 8 more authors
    In 32nd ACM International Conference on Information and Knowledge Management , 2023
    PDF
  6. AMIA 2023
    Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
    Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, and 5 more authors
    In American Medical Informatics Association 2023 Annual Symposium, 2023
    PDF
  7. AMIA 2023
    Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
    Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, and 5 more authors
    In American Medical Informatics Association 2023 Annual Symposium, 2023
    PDF

2022

2022

  1. Preprint
    Towards Assumption-free Bias Mitigation
    Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, and 3 more authors
    arXiv preprint arXiv:2307.04105, 2022
    PDF

2021

2021

  1. Preprint
    Mitigating relational bias on knowledge graphs
    Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, and 4 more authors
    arXiv preprint arXiv:2211.14489, 2021
    PDF
  2. AAAI 2021
    A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting
    Chia-Yuan Chang*, Cheng-Wei* Lu*, and Chuan-Ju Wang
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2021
    PDF

2020

2020

  1. TREC 2020
    Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR.
    Chia-Yuan Chang, Ning Chen, Wei-Ting Chiang, and 5 more authors
    In Text REtrieval Conference, 2020
    PDF

\(*\) equal contribution.