Xiangjian Jiang

PhD Student in Computer Science

University of Cambridge

About me

I am currently a second-year PhD student in Computer Science at the Cambridge Computer Laboratory, supervised by Prof. Mateja Jamnik and Dr.Nikola Simidjievski. My research interest primarily lies in the explainability of artificial intelligence (XAI), and my current research projects mainly focus on developing data-centric 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 would like to discuss anything interesting on XAI, please feel free to reach out via: silencejiang12138 [at] gmail [dot] com

Last updated: Oct, 2024

News

🌟 One co-first author paper accepted by NeurIPS 2024 (with an acceptance rate of 25.8%)

NeurIPS 2024 Sep 2024

📝 I will co-supervise a Part III/MPhil project with Prof Mateja Jamnik for the upcoming academic year (2024-2025). Please checkout the proposal and reach out!

Cambridge Computer Laboratory Sep 2024

🌟 One first author paper accepted by ICML 2024 (with an acceptance rate of 27.03%)

ICML 2024 May 2024

🎓 Pass with Distinction for MPhil in Advanced Computer Science (awarded with College Prize for Academic Excellence)

University of Cambridge Aug 2023

Selected Publications & Preprints

Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik (2024). TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models. NeurIPS 2024.

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

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

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Xiangjian Jiang, Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik (2023). Prototype-based Neural Networks for Tabular Biomedical Data. ICML 2023 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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