Chi Ian Tang

Doctoral Researcher - Computer Science
University of Cambridge

University of Cambridge

I am Ian, a second-year PhD student in the Department of Computer Science and Technology at the University of Cambridge, where I am supervised by Professor Cecilia Mascolo. I am a member of Hughes Hall, Cambridge and a Cambridge Trust Scholar. My research is supported by the Doris Zimmern Charitable Foundation, Cambrdige Trust and Nokia Corporation.

I am interested in deep learning applications, especially on mobile systems. I am currently working on building scalable human activity recognition systems using semi-supervised learning techniques, which include contrastive learning, self-supervised learning and self-training.

During my masters studies, I worked on collaborative activity recognition systems which leverage signals from multiple devices for better recognition efficiency and performance, under the supervision of Dr Robert Harle. In the summer of 2018, I worked at the Bioinformatics Algorithms and Core Technology Research Laboratory of the University of Hong Kong, on the development of an accurate germline small variant calling system powered by deep neural networks. I received my bachelor degree in Computer Science from the University of Hong Kong in 2018.

CV

News


June 2021 - Source code for "SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data" has been released on GitHub.

April 2021 - Paper "SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data" has been published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).

February 2021 - A link to the poster for "Exploring Contrastive Learning in Human Activity Recognition for Healthcare" has been added.

February 2021 - Source code for "Exploring Contrastive Learning in Human Activity Recognition for Healthcare" has been released on GitHub.

Publications


2021

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Soren Brage, Nick Wareham, Cecilia Mascolo.
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Volume 5 Issue 1, Article 36 (March 2021).

2020

Exploring Contrastive Learning in Human Activity Recognition for Healthcare
Chi Ian Tang, Dimitris Spathis, Ignacio Perez Pozuelo, Cecilia Mascolo.
In ML for Mobile Health Workshop at NeurIPS. 2020.

Exploring the limit of using a deep neural network on pileup data for germline variant calling
Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi-Ian Tang, Chi-Man Liu, Henry CM Leung, Tak-Wah Lam.
In Nature Machine Intelligence. 2020.

Teaching


I have supervised students and demonstrated in the following courses at the University of Cambridge:

© 2020-2021 Chi Ian Tang. All rights reserved.