Bio.

Hello! I am an assistant professor in the Department of Data Science and Artificial Intelligence of Monash, and an affiliated lecturer of University of Cambridge. Prior to joining Monash, I was a lecturer at the Department of Electrical and Electronic Engineering of UCL, and before that a postdoc in the Language Technology Lab at University of Cambridge.

Research Areas in Language and Text.

• Deep generative models (e.g., generation and representation learning)
• Multi-lingual or unlabelled data utilisation (e.g., semi-, self-, or un-supervised learning)
• Bayesian learning and inference (e.g., applications in training with small data)
• Privacy and interpretability in representation learning and model prediction
• Utilising biomedical knowledge graphs (e.g., graph-based generation, entity linking)

News.

• ☘ 3 papers accepted in ACL2022! Congratulations to students and co-authors!
• ☘ Co-organizing The 3rd Deep Learning for Low Resource NLP (DeepLo) Workshop, co-located with NAACL2022
• ☘ Victor Prokhorov successfully defended his PhD thesis on Injecting Inductive Biases into Distributed Representations of Text.
• ☘ Several papers accepted in 2021: 1xACL, 1xEACL, 1xNAACL, 2xEMNLP, 2xRepL4NLP

Future Students.

I will not be taking any new students in 2022. I am looking for 1-2 self-motivated strong Ph.D and MSc candidates for 2022 with a keen interest in NLP. Before contacting or applying, you will need to put together a research proposal. It is a process for me to assess whether you can write about a research area in a sensible way and pose interesting questions. It is not a commitment to what you will work on during your PhD. Most often PhD topics crystallise over the first year.