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)