Selected Publications

For a complete list, please visit my Google Scholar profile.

2024

  1. NeurIPS
    Structured Learning of Compositional Sequential Interventions
    Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, and Ricardo Silva
    Advances in Neural Information Processing Systems (CORE-A*, CCF-A) , 2024
    Code

2023

  1. AI Open
    Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation
    Jialin Yu, Alexandra I Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, and Noura Al Moubayed
    AI Open, 2023
    Code
  2. the Web Conference
    Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance
    Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra Cristea, and Yang Long
    In Proceedings of the ACM Web Conference 2023 (CORE-A*, CCF-A) , 2023
    Code
  3. NeurIPS
    Intervention generalization: A view from factor graph models
    Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, and Ricardo Silva
    Advances in Neural Information Processing Systems (CORE-A*, CCF-A) , 2023
    Code

2022

  1. IJCNN
    Efficient uncertainty quantification for multilabel text classification
    Jialin Yu, Alexandra I Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, and Noura Al Moubayed
    In 2022 International Joint Conference On Neural Networks (IJCNN) (CORE-B, CCF-C) , 2022
  2. IJCNN
    INTERACTION: A generative XAI framework for natural language inference explanations
    Jialin Yu, Alexandra I Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, and Noura Al Moubayed
    In 2022 International Joint Conference on Neural Networks (IJCNN) (CORE-B, CCF-C) , 2022
  3. AMIA
    Detecting fine-grained emotions on social media during major disease outbreaks: health and well-being before and during the Covid-19 pandemic
    Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I Cristea, and Lei Shi
    In AMIA annual symposium proceedings (CCF-C) , 2022
    Code
  4. IJCNN
    Contrastive learning with heterogeneous graph attention networks on short text classification
    Zhongtian Sun, Anoushka Harit, Alexandra I Cristea, Jialin Yu, Lei Shi, and Noura Al Moubayed
    In 2022 International Joint Conference on Neural Networks (IJCNN) (CORE-B, CCF-C) , 2022

2021

  1. ITS
    Exploring bayesian deep learning for urgent instructor intervention need in mooc forums
    Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I Cristea, and Lei Shi
    In Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings 17 (CORE-B) , 2021
  2. IJCNN
    A generative bayesian graph attention network for semi-supervised classification on scarce data
    Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I Cristea, and Noura Al Moubayed
    In 2021 International Joint Conference on Neural Networks (IJCNN) (CORE-B, CCF-C) , 2021