About me
I am currently a PhD student in Computer Science at the Cambridge Computer Laboratory, supervised by Prof. Mateja Jamnik and
- tabular foundation models
- tabular generative modelling
- trustworthy AI solutions for scientific applications
Before joining Cambridge, I was fortunate to work as a research intern on embodied AI at MT Lab and Cola Laboratory under the supervision of Prof. Si Liu.
🙌 If you would like to discuss anything related to XAI, please feel free to reach out via: silencejiang12138 [at] gmail [dot] com.
Last updated: June, 2025
News
🌟 One first author paper accepted by DeLTa & SynthData@ICLR 2025, and awarded with “Early Career Scholar Award” (only 6 recipients worldwide)
🌟 One co-first author paper accepted by NeurIPS 2024 (with an acceptance rate of 25.8%), and awarded with “NeurIPS 2024 Scholar Award”
🌟 One first author paper accepted by ICML 2024 (with an acceptance rate of 27.03%)
🎓 Pass with Distinction for MPhil in Advanced Computer Science, and awarded with “College Prize for Academic Excellence”
Selected Publications & Preprints
(2025).
How Well Does Your Tabular Generator Learn the Structure of Tabular Data?.
ICLR 2025 Workshop.
(2024).
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models.
NeurIPS 2024.
(2024).
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data.
ICML 2024.
(2023).
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks.
NeurIPS 2023 Workshop.
(2023).
Prototype-based Neural Networks for Tabular Biomedical Data.
ICML 2023 Workshop.