The WI group interests lie in the areas of information retrieval, data mining, and machine learning. The group also focus on user engagement, personalisation, inferring users interests and recommendation based on users histories and contents they have visited in the Web.
Permanent Staff
E-mail: [email protected]
Address: 90 High Holborn, London, UK
E-mail: [email protected]
Address: Gower St., London, UK
PhD Students
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).
E-mail: [email protected]
Address: Gower St., London, UK
Xiao Fu
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.
E-mail: [email protected]
Address: Gower St., London, UK
Jerome Ramos
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.
E-mail: [email protected]
Address: Gower St., London, UK
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.
E-mail: [email protected]
Address: 90 High Holborn, London, UK
Wiem works on Natural Language Processing with a focus on Human-centric applications and explainability. Her current topic of focus is Fact-checking.
E-mail: [email protected]
Address: 90 High Holborn, London, UK
Bin’s current research lies in large language models, and retrieval-augmented generation. Currently, he focuses on the personalisation of LLMs, aiming to personalise LLMs for individuals. Previously, he has worked in heterogeneous few-shot transfer learning and its applications.
E-mail: [email protected]
Address: 90 High Holborn, London, UK
Previous Members
Dr Yue Feng, PhD Student (2020-2024) now assistant professor at the University of Birmingham.
Dr Fanghua Ye, PhD Student (2019-2024)
Youjing Yu, Visiting research student (2022-2023) (now PhD student at the University of Cambridge)
Dr Xi Wang, Postdoc researcher (2022-2024) (now Assistant Professor at University of Sheffield)
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 the 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)