Xingran Chen

University of Michigan


I am currently a second-year master student in Biostatistics at the University of Michigan. Before that, I obtained my Bachelor of Science in Statistics (Data Science Track) at the Shanghai University of Finance and Economics, where I was advised by Prof. Wanyun Cui. My name in Chinese characters is 陈星然.

My current research interest focus on LLMs and AI-powered statistical inference procedure.

I am currently seeking a Ph.D. position for Fall 2024! Any advice or suggestions are welcome!

Selected Publications


  1. /assets/papers/free_lunch.png
    Free Lunch for Efficient Textual Commonsense Integration in Language Models
    Wanyun Cui, and Xingran Chen
    ACL 2023, 2023
  2. /assets/papers/explanation.png
    Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction
    Wanyun Cui, and Xingran Chen
    ACL 2023 Findings, 2023
  3. /assets/papers/MERT.png
    MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
    Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, and  others
    arXiv preprint arXiv:2306.00107, 2023
  4. /assets/papers/TPDM.png
    TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module
    Xingran Chen, Ge Zhang, and Jie Fu
    arXiv preprint arXiv:2305.19857, 2023
  5. /assets/papers/MotifRetro.png
    MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing
    Zhangyang Gao*, Xingran Chen*, Cheng Tan*, and Stan Z Li
    arXiv preprint arXiv:2305.15153, 2023


  1. /assets/papers/cible.png
    Instance-based Learning for Knowledge Base Completion
    Wanyun Cui, and Xingran Chen
    NeurIPS 2022, 2022


  1. /assets/papers/orion.png
    Open Rule Induction
    Wanyun Cui, and Xingran Chen
    In NeurIPS 2021, 2021
  2. /assets/papers/oktransformer.png
    Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense
    Wanyun Cui, and Xingran Chen
    In ACL 2022 Findings, 2021