Keya Hu

latest update: October, 2024

Hi, I’m Keya Hu (胡珂雅), a 4th-year CS undergraduate student from Shanghai Jiao Tong University, ACM class. I’m currently a visiting student in Cornell University, advised by Prof. Kevin Ellis. I am working on utilzing LLM to augment dataset of non-language based, such as ARC (Abstraction and Reasoning Corpus) problem, to enlarge LLM’s excellent ability to non-language based tasks.

Previously, I participated in a project that explores emotion recognition using raw EEG signals through self-supervised methods as a research assistant in BCMI labortary, advised by Prof. Wei-Long Zheng.

My research interests lies in Artificial Intelligence, Program Synthesis, and Large language Model.

I am looking for a PhD position in this application season!

publications and preprints

  1. arXiv
    arc_show.jpg
    Combining Induction and Transduction for Abstract Reasoning
    Wen-Ding Li*Keya Hu*, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu*, and Kevin Ellis*
    Nov 2024
  2. NeurIPS
    REx.jpg
    Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
    Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, and Kevin Ellis
    NeurIPS, Jul 2024
  3. EMBC
    embc2.jpg
    Contrastive Self-Supervised EEG Representation Learning for Emotion Classification
    Keya Hu, Ren-Jie Dai, Wen-Tao Chen, Hao-Long Yin, Bao-Liang Lu, and Wei-Long Zheng
    EMBC, Jul 2024

experience

Jul 01, 2024 Research intern in Cornell University, with advisor Kevin Ellis.
Sep 01, 2023 Research assistant in Brain-like Computing and Machine Intelligence (BCMI) Laboratory
Sep 01, 2021 Undergraduate student majors in computer Science and Technology, in ACM class, Shanghai Jiao Tong University(SJTU).