Publications

Manuscripts

• Chaos is a Ladder: Domain Generalization Beyond Invariance via Source-Specific Disentanglement
  Yuhang Jiang, Guojun Zhu, Sanguo Zhang
  Last revised on Dec 2025.

• Precision-Free Hub Detection: A Geometric Subspace Consensus Approach for Distributed Data
  Rongzhuo Nie, Guojun Zhu, Sanguo Zhang, Sheng Fu
  Last revised on Dec 2025.

• A Functional Latent Space Model for Time-varying Networks with Applications to Clinical Outcomes Data
  Guojun Zhu, Ruiyue Wang, Rong Li, Sanguo Zhang, Ben-Chang Shia, Shuangge Ma, Hao Mei
  Under review, Dec 2025.

• Model- and Similarity-Free Transfer Learning for Classification with Label Noise
  Guojun Zhu, Sanguo Zhang, Mingyang Ren
  Under review, Oct 2025.

Publications

• Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
  Zenghao Guan, Guojun Zhu, Yucan Zhou, Wu Liu, Weiping Wang, Jiebo Luo, Xiaoyan Gu
  International World Wide Web Conference (WWW), Jan 2026. [arXiv]

• Latent Space Modeling for Human Disease Network With Temporal Variations: Analysis of Medicare Data
  Guojun Zhu, Ruiyue Wang, Rong Li, Sanguo Zhang, Shuangge Ma, Guanzhong Qiao, Hao Mei
  Annals of Applied Statistics (AOAS), Dec 2025. [Slides]

• Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
  Guojun Zhu, Sanguo Zhang, Mingyang Ren
  38-th Annual Conference on Artificial Intelligence and Statistics (AISTATS), Jan 2025. [Article] [Slides]