Xiangjian Jiang

Xiangjian Jiang

PhD Student in Computer Science

University of Cambridge

About me

I am currently a first-year PhD student in Computer Science at the Cambridge Computer Laboratory, supervised by Prof. Mateja Jamnik. My research interest primarily lies in the explainability of artificial intelligence (XAI), and my current research projects mainly focus on developing interpretable machine learning models for healthcare purposes, especially in the low-sample-size regimes.

Before joining Cambridge, I received my BEng in Computer Science and Technology from Beihang University, where I was fortunate to work as a research intern under the supervision of Prof. Si Liu at Cola Laboratory.

If you are also passionate about XAI or you would like to discuss anything interesting with me, please feel free to reach out via: silencejiang12138 [at] gmail [dot] com

News

One paper accepted by NeurIPS 2023 workshop on Temporal Graph Learning
I am co-supervising an MPhil project with Prof Mateja Jamnik and Andrei Margeloiu for 2023-2024. Have a look at the proposal and reach out!
College Prize for Academic Excellence
Pass with Distinction for MPhil in Advanced Computer Science
One paper accepted by ICML 2023 workshop on Interpretable Machine Learning in Healthcare

Publications

(2023). ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data. ICML2023 Workshop.

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(2022). Multi-view Human Body Mesh Translator.

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(2022). DropKey for Vision Transformer. CVPR2023.

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(2021). Towards real-world X-ray security inspection: A high-quality benchmark and lateral inhibition module for prohibited items detection. ICCV2021.

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