Update research.md

BingCS · Aug 26, 2024 · d9aafbc · d9aafbc
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-title: research
+title: Projects
 description: Ongoing and completed research projects by MAPS Lab
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@@ -84,4 +84,4 @@ Media Exposure: [BBC News](https://www.bbc.co.uk/news/av/uk-scotland-63075749),
 
 Key to realizing the vision of human-centred computing is the ability for machines to recognize people, so that spaces and devices can become truly personalized. However, the unpredictability of real-world environments impacts robust recognition, limiting usability. In real conditions, human identification systems have to handle issues such as out-of-set subjects and domain deviations, where conventional supervised learning approaches for training and inference are poorly suited. With the rapid development of Internet of Things (IoT), we advocate a new labelling method that exploits signals of opportunity hidden in heterogeneous IoT data. The key insight is that **one sensor modality can leverage the signals measured by other co-located sensor modalities to improve its own labelling performance**. If identity associations between heterogeneous sensor data can be discovered, it is possible to automatically label data, leading to more robust human recognition, without manual labelling or enrolment. On the other side of the coin, we also study the privacy implication for such cross-modal identity association.
 
-Research Output: [<a href="https://arxiv.org/abs/2001.08211">WWW'2020</a>], [<a href="https://arxiv.org/abs/1908.09002">WWW'2019</a>], [<a href="https://ieeexplore.ieee.org/document/8755294">IoT-J'2019</a>], [<a href="https://arxiv.org/abs/1912.04836">UbiComp'2018</a>], [<a href="https://dl.acm.org/doi/10.1145/3267242.3267252">ISWC'2018</a>], [<a href="https://dl.acm.org/doi/10.1145/3055031.3055073">IPSN'2017</a>]
+Research Output: [<a href="https://arxiv.org/abs/2001.08211">WWW'2020</a>], [<a href="https://arxiv.org/abs/1908.09002">WWW'2019</a>], [<a href="https://ieeexplore.ieee.org/document/8755294">IoT-J'2019</a>], [<a href="https://arxiv.org/abs/1912.04836">UbiComp'2018</a>], [<a href="https://dl.acm.org/doi/10.1145/3267242.3267252">ISWC'2018</a>], [<a href="https://dl.acm.org/doi/10.1145/3055031.3055073">IPSN'2017</a>]