Publications

* denotes equal contribution and joint lead authorship.


2025

  1. KBS
    Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models.
    Zhiyuan Peng*, Xuyang Wu*, Qifan Wang, and Yi Fang.

    In Knowledge-Based Systems (KBS) 2025.

    PDF Code
  2. EMNLP 25
    Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.
    Xuyang Wu*, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, and Yi Fang.

    2025.

    PDF Code
  3. EMNLP 25
    Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning.
    Xuyang Wu*, Jinming Nian*, Ting-Ruen Wei*, Zhiqiang Tao, Hsin-Tai Wu, and Yi Fang.

    2025.

    PDF Code
  4. arXiv
    A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics.
    Ting-Ruen Wei, Haowei Liu, Xuyang Wu, and Yi Fang.

    2025.

    PDF
  5. COLING 25
    Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.
    Xuyang Wu*, Shuowei Li*, Hsin-Tai Wu, Zhiqiang Tao, and Yi Fang.

    In Proceedings of the 31st International Conference on Computational Linguistics 2025.

    PDF Code
  6. TOIS
    Meta-Learning to Rank for Sparsely Supervised Queries.
    Xuyang Wu*, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, and Yi Fang.

    In ACM Trans. Inf. Syst. 2025.

    PDF
  7. PhD Thesis
    Neural Ranking in Sparse Data Environments.
    Xuyang Wu*, and Yi Fang.

    In PhD Dissertation, Santa Clara University 2025.

    PDF

2024

  1. arXiv
    Mathematical Foundation and Corrections for Full Range Head Pose Estimation.
    Hsin-Chiang Hu, Xuyang Wu, Yuan Wang, Yi Fang, and Hsin-Tai Wu

    2024.

  2. arXiv
    Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.
    Zhiyuan Peng*, Xuyang Wu*, Qifan Wang, Sravanthi Rajanala, and Yi Fang.

    2024.

    PDF
  3. arXiv
    RaCT: Ranking-aware Chain-of-Thought Optimization for LLMs.
    Haowei Liu, Xuyang Wu, Guohao Sun, Zhiqiang Tao, and Yi Fang.

    2024.

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  4. arXiv
    CLERF: Contrastive LEaRning for Full Range Head Pose Estimation.
    Ting-Ruen Wei, Haowei Liu, Huei-Chung Hu, Xuyang Wu, Yi Fang, and Hsin-Tai Wu

    2024.

    PDF
  5. arXiv
    Full-range Head Pose Geometric Data Augmentations.
    Huei-Chung Hu, Xuyang Wu, Haowei Liu, Ting-Ruen Wei, and Hsin-Tai Wu

    2024.

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  6. arXiv
    Hpe-cogvlm: New head pose grounding task exploration on vision language model.
    Yu Tian, Tianqi Shao, Tsukasa Demizu, Xuyang Wu*, and Hsin-Tai Wu

    2024.

    PDF
  7. Gen-IR 24
    Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models.
    Xuyang Wu*, Zhiyuan Peng*, K. Sai Ram, Hsin-Tai Wu, and Yi Fang.

    2024.

    PDF
  8. NAACL 24
    Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers.
    Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, and Yi Fang.

    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2024.

    PDF Video

2023

  1. ISOJ 23
    Could Quoting Data Patterns Help in Identifying Journalistic Behavior Online?.
    Subramaniam Vincent, Xuyang Wu, Maxwell Huang, and Yi Fang.

    In International Symposium on Online Journalism 2023.

2022

  1. WWW 22
    A Multi-Task Learning Framework for Product Ranking with BERT.
    Xuyang Wu*, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, and Yi Fang.

    In WWW’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 2022.

    PDF Video

2019

  1. DLP-KDD’19
    Learning over categorical data using counting features: with an application on click-through rate estimation.
    Xuyang Wu*, Xinyang Gao, Weinan Zhang, Rui Luo, and Jun Wang

    In Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data 2019.

    PDF

2014

  1. CBD 14
    Energy Consumption Data Based Machine Anomaly Detection.
    Hui Chen, Xiang Fei, Sheng Wang, Xin Lu, Guoqing Jin, Weidong Li, and Xuyang Wu.

    In Second International Conference on Advanced Cloud and Big Data, CBD 2014, Huangshan, China, November 20-22, 2014 2014.

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