Projects per year
Personal profile
Research interests
I'm interested in mathematics of machine learning and how we can build learning algorithms with privacy, fairness, robustness and generalisability.
Please refer to my Google Scholar page for my latest work and my personal website for more information about me.
Education/Academic qualification
Mathematics, Doctor of Philosophy, On Asai's Function Analogous to Log |eta(z)|, University of Cambridge
1 Oct 2011 → 1 May 2016
Award Date: 20 May 2017
Mathematics, Master of Philosophy, Height Functions On Elliptic Curves Over Function Fields - A Differential-Geometric Approach, University of Hong Kong
1 Sept 2009 → 15 Sept 2011
Award Date: 1 Dec 2011
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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FBSDE Methods in Heterogeneous Agent Models
Mayorcas, A. (PI), Pryer, T. (CoI) & Chen, C. (Researcher)
Engineering and Physical Sciences Research Council
25/11/24 → 24/11/25
Project: Research council
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AI for Collective Intelligence (AI4CI) – A UKRI AI Research Hub for Real Data
Smith, L. G. E. (PI), Pryer, T. (CoI), Smith, T. (CoI) & Chen, C. (Researcher CoI)
Engineering and Physical Sciences Research Council
1/02/24 → 31/01/29
Project: Research council
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Sanispecrtra Inverse Problems
Budd, C. (PI), Gazzola, S. (CoI) & Chen, C. (Researcher)
1/01/24 → 31/03/24
Project: Research council
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NeuvilleGridData Follow up
Budd, C. (PI) & Chen, C. (Researcher)
1/01/24 → 30/06/24
Project: Research council
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Ensuring Data Privacy in Deep Learning through Compressive Learning
Nunes, M. (PI), Nunes, M. (PI), Poon, C. (CoI) & Chen, C. (Researcher CoI)
Engineering and Physical Sciences Research Council
1/04/23 → 31/07/24
Project: Research council
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Artificial intelligence for collective intelligence: a national-scale research strategy
Bullock, S., Ajmeri, N., Batty, M., Black, M., Cartlidge, J., Challen, R., Chen, C., Chen, J., Condell, J., Danon, L., Dennet, A., Heppenstal, A., Marshall, P., Morgan, P., O'Kane, A., Smith, L. G. E., Smith, T. & Williams, H., 4 Nov 2024, (Acceptance date) In: The Knowledge Engineering Review.Research output: Contribution to journal › Article › peer-review
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Understanding the Vulnerability of CLIP to Image Compression
Chen, C., Namboodiri, V. & Padget, J., 23 Nov 2023.Research output: Contribution to conference › Paper › peer-review
Open Access -
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching
Chen, C. & Campbell, N., 24 Nov 2022.Research output: Contribution to conference › Paper › peer-review
Open Access -
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
Chen, C. & Campbell, N., Oct 2021, (Acceptance date) NeurIPS 21 Workshop 'Privacy in Machine Learning'.Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding