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 foundation models for structured tabular data, especially for real-world healthcare applications.

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, please feel free to reach out via: silencejiang12138 [at] gmail [dot] com

Last updated: July, 2024

News

One paper accepted by ICML 2024

ICML 2024 May 2024

One paper accepted by NeurIPS 2023 workshop on Temporal Graph Learning

NeurIPS 2023 Nov 2023

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!

Cambridge Computer Laboratory Oct 2023

College Prize for Academic Excellence

St Edmund’s College Aug 2023

Pass with Distinction for MPhil in Advanced Computer Science

University of Cambridge Aug 2023

One paper accepted by ICML 2023 workshop on Interpretable Machine Learning in Healthcare

ICML 2023 Jun 2023

Publications

Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik (2024). ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data. ICML2024.

PDF Cite Code Project Poster Slides Video

Xiangjian Jiang, Yanyi Pu (2023). Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks. NeurIPS2023 Workshop.

PDF Cite Code Dataset Slides Video

Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik (2023). ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data. ICML2023 Workshop.

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Xiangjian Jiang, Xuecheng Nie, Zitian Wang, Luoqi Liu, Si Liu (2022). Multi-view Human Body Mesh Translator.

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Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu (2022). DropKey for Vision Transformer. CVPR2023.

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