publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. ICLR
    Vector-ICL: In-context Learning with Continuous Vector Representations
    Yufan Zhuang, Chandan Singh, Liyuan Liu, and 2 more authors
    International Conference on Learning Representations, 2024
    PDF
  2. EMNLP
    Data Contamination Can Cross Language Barriers
    Feng Yao*, Yufan Zhuang*, Zihao Sun, and 3 more authors
    Empirical Methods in Natural Language Processing, 2024
    PDF
  3. TMLR
    Learning a Decision Tree Algorithm with Transformers
    Yufan Zhuang, Liyuan Liu, Chandan Singh, and 2 more authors
    Transactions on Machine Learning Research, 2024
    PDF

2023

  1. UniReps@NeurIPS
    WavSpA: Wavelet Space Attention for Boosting Transformers’ Long Sequence Learning Ability
    Yufan Zhuang, Zihan Wang, Fangbo Tao, and 1 more author
    NeurIPS 1st UniReps Workshop, 2023
    PDF
  2. TOSEM
    Incorporating Signal Awareness in Source Code Modeling: an Application to Vulnerability Detection
    Sahil Suneja, Yufan Zhuang, Yunhui Zheng, and 3 more authors
    ACM Transactions on Software Engineering and Methodology, 2023
    PDF
  3. EuroS&P
    Code Vulnerability Detection via Signal-Aware Learning
    Sahil Suneja, Yufan Zhuang, Yunhui Zheng, and 3 more authors
    In 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 2023
  4. Patent
    Artificial intelligence model learning introspection
    Sahil Suneja, Yufan Zhuang, Yunhui Zheng, and 2 more authors
    2023
  5. Patent
    Training data augmentation via program simplification
    Sahil Suneja, Yufan Zhuang, Yunhui Zheng, and 2 more authors
    2023
  6. Patent
    Complexity based artificial intelligence model training
    Sahil Suneja, Yufan Zhuang, Yunhui Zheng, and 2 more authors
    2023

2022

  1. Patent
    Probing Model Signal Awareness
    Yunhui Zheng, Sahil Suneja, Yufan Zhuang, and 2 more authors
    2022
  2. AAG
    Sleeping Lion or Sick Man? Machine Learning Approaches to Deciphering Heterogeneous Images of Chinese in North America
    Qiang Fu, Yufan Zhuang, Yushu Zhu, and 1 more author
    Annals of the American Association of Geographers, 2022
    PDF

2021

  1. arXiv
    Data-Driven AI Model Signal-Awareness Enhancement and Introspection
    Sahil Suneja, Yufan Zhuang, Yunhui Zheng, and 2 more authors
    arXiv preprint arXiv:2111.05827, 2021
  2. arXiv
    Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
    Yufan Zhuang, Sahil Suneja, Veronika Thost, and 3 more authors
    arXiv preprint arXiv:2109.03341, 2021
    PDF
  3. SOCC Vision
    Towards Reliable AI for Source Code Understanding
    Sahil Suneja, Yunhui Zheng, Yufan Zhuang, and 2 more authors
    ACM Symposium on Cloud Computing, 2021
  4. FSE
    Probing model signal-awareness via prediction-preserving input minimization
    Sahil Suneja*, Yunhui Zheng*, Yufan Zhuang*, and 2 more authors
    ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
    PDF
  5. BDR
    Agreeing to disagree: choosing among eight topic-modeling methods
    Qiang Fu, Yufan Zhuang, Jiaxin Gu, and 2 more authors
    Big Data Research, 2021
    PDF

2020

  1. arXiv
    Exploring software naturalness through neural language models
    Luca Buratti, Saurabh Pujar, Mihaela Bornea, and 8 more authors
    arXiv preprint arXiv:2006.12641, 2020
    PDF
  2. arXiv
    Learning to map source code to software vulnerability using code-as-a-graph
    Sahil Suneja, Yunhui Zheng, Yufan Zhuang, and 2 more authors
    arXiv preprint arXiv:2006.08614, 2020
    PDF

2019

  1. BPOD@BigData
    Search for K: assessing five topic-modeling approaches to 120,000 Canadian articles
    Qiang Fu, Yufan Zhuang, Jiaxin Gu, and 3 more authors
    In BPOD Workshop at 2019 IEEE International Conference on Big Data (Big Data), 2019
    PDF