Guojun Zhu (祝国隽)

Guojun Zhu (祝国隽)

he/him

Ph.D. student in Statistics at the University of Chinese Academy of Sciences

Publications

My research spans three complementary areas: Statistical Machine Learning, Network and Graphical Models, and Agent Research. The map below connects individual works by research theme and can also arrange them chronologically; select a node to jump to its entry.

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Interactive research map with theme and timeline views Eleven works can be explored as five overlapping research-theme contours or along a fixed chronology from January 2025 to September 2026. Manuscripts are hollow and publications are filled. LADDER Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting — Manuscript · Jul 2026 MOSAIC Pattern-Calibrated Multimodal Prediction under Blockwise Missingness — Manuscript · Jul 2026 Transfer-Label-Noise Model-agnostic information transfer and fusion for classification with label noise — Manuscript · Apr 2026 STSA Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation — Publication · WWW · 2026 STWGAN Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency — Publication · AISTATS · 2025 LUMEN Joint Latent Space Modeling of Time-Varying Disease Interconnections and Trends: Analysis of the Taiwan Health Insurance Research Database — Working Paper · Sep 2026 FOLD Directed hypergraphs: tensor representation, embedding modeling, and community detection — Manuscript · Aug 2026 Distributed Hub Distributed Hub Detection in Heterogeneous Graphical Models — Manuscript · May 2026 FLSM A Functional Latent Space Model for Time-varying Networks with Applications to Clinical Outcomes Data — Manuscript · Apr 2026 MTFLSM Latent Space Modeling for Human Disease Network With Temporal Variations: Analysis of Medicare Data — Publication · AOAS · 2026 CHASE Bad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts — Manuscript · Sep 2026 Transfer Learning Latent Space Model Hub / Community Detection Multi-source Data Generalization

(* Corresponding Author; # Co-first Author; † Authors listed in alphabetical order)

Statistical Machine Learning

Domain generalization, transfer and multi-source learning, multimodal prediction, and federated learning.

Manuscripts

  • Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
    Yuhang Jiang, Fengchuan Zhang, Sanguo Zhang, Guojun Zhu*
    Under review, Jul 2026. [arXiv]
  • Pattern-Calibrated Multimodal Prediction under Blockwise Missingness
    Junhan Yu, Kejian Zhang, Doudou Zhou, Guojun Zhu†
    Under review, Jul 2026. [arXiv]
  • Model-agnostic information transfer and fusion for classification with label noise
    Guojun Zhu, Sanguo Zhang, Mingyang Ren*
    Under review, Apr 2026. [arXiv]

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

Network and Graphical Models

Latent space modeling, hypergraph representation, and community or hub detection in complex networks.

Manuscripts

  • Joint Latent Space Modeling of Time-Varying Disease Interconnections and Trends: Analysis of the Taiwan Health Insurance Research Database
    Guojun Zhu, Sanguo Zhang, Ben-Chang Shia, Wei-Shan Chang, Kai-Yuan Hsiao, Shuangge Ma, Hao Mei*
    Working Paper, Sep. 2026.
  • Directed hypergraphs: tensor representation, embedding modeling, and community detection
    Guojun Zhu, Haofei Wang, Mingyang Ren*
    Manuscript, Aug 2026.
  • Distributed Hub Detection in Heterogeneous Graphical Models
    Rongzhuo Nie, Sanguo Zhang, Lili Zhao, Guojun Zhu*
    Under review, May 2026.
  • 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 (Major revision and revised by Biometrics), Apr 2026.

Publications

  • 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), March 2026. [Slides]

Agent Research

Agent evaluation, Harness evolution, Multi-Agent System.

Manuscripts

  • Bad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts
    Guojun Zhu, Xunheng Huang, Peng Yin, Jiahui Xie, Sanguo Zhang, Doudou Zhou*
    Manuscript, Sep. 2026. [arXiv]