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Ruizhe Li
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Ruizhe Li is a Lecturer (Assistant Professor) at the Aberdeen - South China Normal University (SCNU) Joint Institute in the School of Natural Computing Sciences/Business School, the University of Aberdeen. He is associated with Natural Language Processing (NLP) group and the Machine Learning (ML) group. He was a postdoc research fellow in the Web Intelligence Group, affiliated with the Centre for Artificial Intelligence in the University College London (UCL). He received his PhD from the Department of Computer Science in the University of Sheffield. He completed his bachelor degree BEng Electronic Information & Engineering in the Shanghai University, China.
Research Interests: Natural Language Processing/Generation, Dialogue Systems, Deep Latent Variable Models, Reinforcement Learning, Knowledge Graphs, Explainable AI.
I am looking for highly motivated PhD students interested in NLP, RL and ML. A full PhD studentship is available. Please contact me for any enquiries.
Papers
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)
Thesis
Li, R.
Deep Latent Variable Models for Text Modelling
University of Sheffield, 2021
Services
- Program Committee/Reviewer
- Conference on Empirical Methods in Natural Language Processing (EMNLP) (Outstanding Reviewer (2020))
- Annual Meeting of the Association for Computational Linguistics (ACL)
- Conference of the European Chapter of the Association for Computational Linguistics (EACL)
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
- ACL Rolling Review
- Association for the Advancement of Artificial Intelligence (AAAI)
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- European Laboratory for Learning and Intelligent Systems (ELLIS): PhD Program Evaluators
- NeurIPS Pre-Registration Workshop
- CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC)
- Journal Invited Reviewer
- Neurocomputing
- Neural Processing Letters
- Knowledge-Based Systems
- Equality, diversity and inclusion
- Member of Race Equality Network for staff and PGRs @ University of Aberdeen
- Member of The Race and Racism Group @ University of Aberdeen
Teaching
- University of Aberdeen
- JC1001 Python Programming Foundation
- JC1503 Object-Oriented Programming
- University of Sheffield (TA)
- COM6115 Text Processing
- COM4513 Natural Language Processing
- University of Aberdeen (TA)
- CS5062 Machine Learning
- CS4025 Natural Language Processing
- CS551G Data Mining and Visualisation
Tutorials
- Natural Language Processing & Computer Vision Foundation, Shanghai University, Nov 2022
Talks
- Deep Generative Models for NLP, Shanghai University, Nov 2022
- The Value of Persuing AI PhD, CSDN, Jul 2022
- Deep Latent Variable Models for Text Modelling, Aberdeen - South China Normal University (SCNU) Joint Institute, Jul 2022.
- Deep Latent Variable Models for Text Modelling, Distributed Artificial Intelligence Group Seminars, King’s College London, Feb 2022.
- Exploring Dialogue Systems in the Healthcare and Explainable AI in NLP, Department of Informatics, King’s College London, Nov 2021.
- Building Bridges Between the Explainable AI and Dialogue Systems, Department of Computing Science, University of Aberdeen, Oct 2021.
- Dialogue Systems and Explainable AI, Department of Computer Science, University of Sheffield, Sep 2021.
- Intention Detection for Security, Home Office Analysis & Insight (HOAI), London, UK, Sep, 2018.