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Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency

AISTATS, 2025

This is my first work, conducted in collaboration 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

AOAS, 2025

STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation

NIPS, 2025

Model- and similarity-free transfer learning for classification with label noise

-, 2025

Functional Latent Space Model for Time-varying networks

-, 2025

Contrastive Learning-Based Algorithm for Label Noise Learning

Published: September 24, 2023

Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency

Published: November 30, 2024

I am honored to have been awarded third prize in the final evaluation at the forum.

Latent Space Modeling for Human Disease Network with Temporal Variations: Analysis of Medicare Data

Published: April 19, 2025

Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency

Published: May 17, 2025

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.