My research topics lie in conversational systems, recommendation systems and natural language processing. Previously, I focused on leveraging the user-posted reviews along with their associated properties with different techniques for improved recommendation outcomes. Currently, I am working on topics on developing conversational systems, including task-oriented conversational systems and conversational recommendation systems.
Fanghua’s primary research interests lie in conversational AI, neural semantic parsing, information retrieval, social network analysis, and machine learning. Currently, he is focused on task-oriented dialogue systems and conversational question answering.
My research interests lie in the area of machine learning, particularly in spatial language understanding and conversational systems. I focus on improving common-sense reasoning in conversational agents by equipping them with abilities to infer and understand spatial relations in natural language (e.g., understand and follow humans’ sequential spatial instructions).
My research interests lie in machine learning (both theory and practice) and conversational information retrieval. I am now focusing on the evaluation of conversational search systems through users’ simulations.
My research focuses on conversational systems and explainable artificial intelligence. I am interested in developing conversational agents that provide transparency of user preferences and system recommendations through natural language explanations.
My research interests lie in combining structured (e.g., knowledge base) and unstructured information sources (e.g., documents) to answer users’ questions in conversational search systems in the healthcare domain.
My research interests lie in the design and evaluation of machine learning models with applications to information access systems, including recommender systems, and conversational systems. I am currently focusing on multimodality (voice and vision) and asking clarifying questions in task-based dialogue systems, as well as user behaviour modelling and personalization in recommender systems.
Graduate Research Students
My research interests lie in the field of conversational search systems (CSS). I am currently working on the development of advanced Machine Learning methods for extracting and representing multimodal user behavioural models in CSS through the assessment of users’ confidence and level of expertise trough speech.
Dr Sahan Bulathwela, PhD student (2018-2022)
Zhiyuan Hu, Visiting research student (2022-2023)
Danny Toeun Kim, Graduate research student (2021-2022) (now PhD student at CMU)
Omer Kirnap, PhD student (2018-2022) (now Applied Scientist II at Amazon)
Dr Procheta Sen, Postdoc researcher (2021-2022) (now Assistant Professor at University of Liverpool)
Dr Ruizhe Li, Postdoc researcher (2021-2022) (now Assistant Professor at University of Aberdeen)
Dr Qiang Zhang, PhD student (2016-2020) and Postdoc researcher (2020-2021) (now Principal Investigator at Zhejiang University)
Dr Jarana Manotumruksa, Postdoc researcher (2019-2021)
Dr Flavia Salutari, Visiting research student (2020-2021)
Dr Bhaskar Mitra, PhD student (2020, now a principal applied scientist at Microsoft Artificial Intelligence)
Dr Andrew Burnie, PhD student (2017-2020)
Sebastin Santy, Research intern (Summer 2018)
Dr Rishabh Mehrotra, PhD student (2014 – 2018, now research scientist in Spotify)
Dr Manisha Verma, PhD student (2013 – 2017, now research scientist in Yahoo)
Dr Shangsong Liang, Postdoc researcher (2015 – 2017, now professor in Sun Yat-sen University)
Dr Mengdie Zhuang, Research intern, Turing Institute (Summer 2017, now a research fellow at UCL)
Dr Jiyin He, Visiting researcher (2015 – 2016, now senior data scientist in Signal Media)