Me
Xin Xu
CSE Ph.D. Student @ UCSD

About

πŸ‘‹ Hi, I'm Xin Xu (徐欣), a 1st-year Computer Science and Engineering Ph.D. student at UCSD, advised by Prof. Julian McAuley.
πŸŽ“ I obtained a Computer Technology Master's degree from Zhejiang University, advised by Prof. Ningyu Zhang (ZJUNLP).
πŸ’» I was fortunate to intern at Microsoft Research Asia with Xu Tan.
πŸ‘€ My research interest is Human-centered NLP:

  • Trustworthy NLP: fairness and toxicity (mitigation and explanation)
  • Knowledge Management: factuality and interpretability (editing, unlearning, and low-resource acquisition)
  • Music Science: interpretation, evaluation, and generation (musician-oriented AI assistant)


Selected Paper [All]

* equal contribution

    BiasEdit: Debiasing Stereotyped Language Models via Model Editing
    Xin Xu, Wei Xu, Ningyu Zhang, Julian McAuley

    WiNLP @ EMNLP 2023 (Work in Process) [Paper] [Code] [Poster]

    Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
    Jintian Zhang*, Xin Xu*, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng

    ACL 2024 [Paper] [Code]

    MuseCoco: Generating Symbolic Music from Text
    Peiling Lu*, Xin Xu*, Chenfei Kang*, Botao Yu*, Chengyi Xing*, Xu Tan, Jiang Bian

    arXiv:2306.00110 [Paper] [Demo] [Code]

    How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
    Xin Xu, Yuqi Zhu, Xiaohan Wang, Ningyu Zhang

    SustaiNLP @ ACL 2023 [Paper] [Code]

    Schema-adaptable Knowledge Graph Construction
    Hongbin Ye, Honghao Gui, Xin Xu, Huajun Chen, Ningyu Zhang

    Findings of EMNLP 2023 [Paper] [Code]

    Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
    Xin Xu, Xiang Chen, Ningyu Zhang, Xin Xie, Xi Chen, Huajun Chen

    Findings of EMNLP 2022 [Paper] [Code] [Web]

    DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
    Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Peng Wang, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Qiang Chen, Feiyu Xiong, Fei Huang, Guozhou Zheng, Huajun Chen

    EMNLP 2022 System Demonstrations [Paper] [Code] [Demo]


Education


Ph.D.           Sep. 2024 - Present
                    University of California, San Diego, La Jolla, CA, U.S.
                    Computer Science and Engineering, Prof. Julian McAuley
M.E.             Sep. 2021 - Jun. 2024
                    Zhejiang University, Hangzhou, Zhejiang, China.
                    Computer Technology, Prof. Ningyu Zhang
B.E.             Sep. 2017 - Jun. 2021
                    Lanzhou University, Lanzhou, Gansu, China.
                    Computer Science and Technology


Experience

Georgia Institute of Technology
Research Intern, July. 2023 -- Feb. 2024, Remote
Debiasing Stereotyped Language Models
Advisor: Prof. Wei Xu
Microsoft Research Asia, Machine Learning Group
Research Intern, Feb. 2023 -- July. 2023, Beijing, China
Text-to-Music Generation
Advisor: Xu Tan

Award

China National Scholarship, 2022-2023
Most Popular Poster Award, CCKS 2022
Jun-Tsung Scholar, the Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment, 2021

Miscellaneous

🎡 Art is my life.
Feel free to call me Rodenza (Rubato + Cadenza).
I love interpreting music pieces and playing the piano. I am a big fan of concerts and art museums.
I spent the most wonderful time of my life at the Wenqin Piano Society in Zhejiang University.
Here are my performances with lovely piano friends:
Grieg: Peer Gynt Suite No.1, Op.46 (Transcr. for Eight Hands by Adolf Ruthardt)
Mozart: Larghetto and Allegro in E-flat Major, K.deest
Vivaldi: Four Seasons, Spring (Transcr. for Duo Pianos by Alceo Toni)

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