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  • Gao Y., Li R., Croxford E., Tesch S., To D., Caskey J., Patterson B., Churpek M., Miller T., Dligach D., Afshar M.
    Large Language Models and Medical Knowledge Grounding for Diagnosis Prediction
    In medRxiv, 2023

  • Gao Y., Li R., Caskey J., Dligach D., Miller T., Churpek M., Afshar M.
    Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
    In arXiv, 2023

  • Hu Y., Chen C., Li R., Zhu Q., Chng E.
    Noise-aware Speech Enhancement using Diffusion Probabilistic Model
    In arXiv, 2023

  • Hu Y., Chen C., Li R., Zou H., Chng E.
    MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
    In The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023

  • Hu Y., Li R., Chen C., Qin C., Zhu Q., Chng E.
    Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
    In The 61st Annual Meeting of the Association for Computational Linguistics (ACL, Area Chair Award), 2023

  • Hu Y., Li R., Chen C., Zou H., Zhu Q., Chng E.
    Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
    In The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023

  • Hu Y., Chen C., Li R., Zhu Q., Chng E.
    Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
    In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

  • Li R.*, Peng X.*, Lin C.
    On the Latent Holes 🧀 of VAEs for Text Generation
    In arXiv, 2021

  • Zeng C., Chen G., Lin C., Li R. and Chen Z.
    Affective Decoding for Empathetic Response Generation
    In The 14th International Conference on Natural Language Generation (INLG), 2021

  • Li R.*, Peng X.*, Lin C., Rong W. and Chen Z.
    On the Low-density Latent Regions of VAE-based Language Models (Protocol & Result)
    In NeurIPS 2020 Workshop on Pre-registration in Machine Learning (PMLR, Oral Presentation), 2021

  • Li R., Li X., Chen G. and Lin C.
    Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
    In The 28th International Conference on Computational Linguistics (COLING), 2020

  • Li X., Chen G., Lin C. and Li R.
    DGST: a Dual-Generator Network for Text Style Transfer
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

  • Li R.*, Peng X.*, Lin C., Rong W. and Chen Z.
    On the Low-density Latent Regions of VAE-based Language Models (Protocol)
    In NeurIPS 2020 Workshop on Pre-registration in Machine Learning (PMLR, (8/70 spotlight)), 2020

  • Li X., Lin C., Li R., Wang C. and Guerin F.
    Latent Space Factorisation and Manipulation via Matrix Subspace Projection
    In The 37th International Conference on Machine Learning (ICML), 2020

  • Li R., Lin C., Collinson M., Li X. and Chen G.
    A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
    In The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019

  • Li R., Li X., Lin C, Collinson M. and Mao R.
    A Stable Variational Autoencoder for Text Modelling
    In The 12th International Conference on Natural Language Generation (INLG, Best Paper Runner-up), 2019

  • Mao R., Chen G., Li, R. and Lin C.
    ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet
    In The International Workshop on Semantic Evaluation at the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018

  • (* indicates equal contribution)