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portfolio
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publications
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
38-th Annual Conference on Artificial Intelligence and Statistics, 2025
This is my first work, joint working with Mingyang Ren and Sanguo Zhang.
Recommended citation: see https://proceedings.mlr.press/v258/zhu25a.html
Download Paper | Download Slides
Latent Space Modeling for Human Disease Network With Temporal Variations: Analysis of Medicare Data
Annals of Applied Statistics, 2025
Model- and Similarity-Free Transfer Learning for Classification with Label Noise
JASA, 2025
This manuscript received an Outstanding Paper Award (Top 10) at the 11th National Forum for Postgraduate Students in Statistics.
talks
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
Published:
This talk received a third prize at the forum.
Latent Space Modeling for Human Disease Network with Temporal Variations: Analysis of Medicare Data
Published:
Model- and similarity-free transfer learning for classification under label noise with application to medical image analysis
Published:
I am greatly honored to be invited to receive an Outstanding Paper Award (Top 10) and to present at the Forum’s plenary session.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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