Peilin Yu

CS @ Brown University. BATS Research Group.

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CIT 351

115 Waterman St

Providence, RI 02905

I am a Ph.D. Candidate in Computer Science advised by Prof. Stephen Bach.

I primarily work on weak supervision problems where we explore learning with limited, indirect and/or noisy supervisions and minimal human efforts. I also explore how to take advantage of the infinite granuarities from foundation models (GPTs, CLIP etc.) to assist weak supervision systems.

I am a proud 👐🏟🧀 Badger and I got my BS in CS and Math there in 2019.

Email : last_name [at] brown [dot] edu

news

Apr 8, 2022 Website underconstruction 😊

selected publications

  1. AISTATS
    Learning from Multiple Noisy Partial Labelers
    Yu, Peilin, Ding, Tiffany, and Bach, Stephen H.
    In Artificial Intelligence and Statistics (AISTATS) 2022
  2. Preprint
    Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
    Yu, Peilin*, Nayak, Nihal V.*, and Bach, Stephen H. (* Co-first Author)
    arXiv 2022
  3. ACL
    DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
    Zheng, Shun, Han, Xu, Lin, Yankai, Yu, Peilin, Chen, Lu, Huang, Ling, Liu, Zhiyuan, and Xu, Wei
    In ACL 2019