Chen Zhao

Venues

Frequent coauthors

Papers

1. Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation
   WWW 2026 ·

   Qin Tian

   DBLP profile ↗ORCID search ↗
2. Fine-tuning Zero-shot Large Language Models for Patient-reported Outcomes (Student Abstract)
   AAAI 2026 ·

   Yang Yan

   DBLP profile ↗ORCID search ↗
3. LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
   AAAI 2026 ·

   Xiaoxu Ma

   DBLP profile ↗ORCID search ↗
4. MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
   AAAI 2026 ·

   Dong Li

   DBLP profile ↗ORCID search ↗
5. Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
   AAAI 2026 ·

   Zhixia He

   DBLP profile ↗ORCID search ↗
6. SkillGen: Learning Domain Skills for In-Context Sequential Decision Making
   AAAI 2026 ·

   Ruomeng Ding

   DBLP profile ↗ORCID search ↗
7. Uncertainty-Aware Test-Time Search for Optimization Problem Solving
   ACL 2026 ·

   Linlin Yu

   DBLP profile ↗ORCID search ↗
8. 4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
   SIGKDD 2025 ·

   Xujiang Zhao

   DBLP profile ↗ORCID search ↗
9. Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs
   SDM 2025 ·

   Ruomeng Ding

   DBLP profile ↗ORCID search ↗
10. FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
    IJCAI 2025 ·

    Yujie Lin

    DBLP profile ↗ORCID search ↗
11. Fairness-Aware Active Online Learning with Changing Environments
    ICDE 2025 ·

    Sadaf Md. Halim

    DBLP profile ↗ORCID search ↗
12. Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation
    ACL 2025 ·

    Sadaf Md. Halim

    DBLP profile ↗ORCID search ↗
13. MLDGG: Meta-Learning for Domain Generalization on Graphs
    SIGKDD 2025 ·

    Qin Tian

    DBLP profile ↗ORCID search ↗
14. Metric-Agnostic Continual Learning for Sustainable Group Fairness
    AAAI 2025 ·

    Heng Lian

    DBLP profile ↗ORCID search ↗
15. Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract)
    AAAI 2025 ·

    Guihong Wan

    DBLP profile ↗ORCID search ↗
16. SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
    NeurIPS 2025 ·

    Dong Li

    DBLP profile ↗ORCID search ↗
17. The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
    SIGKDD 2025 · Chen Zhao
18. Uncertainty Propagation on LLM Agent
    ACL 2025 ·

    Qiwei Zhao

    DBLP profile ↗ORCID search ↗
19. 3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
    SIGKDD 2024 · Chen Zhao
20. 3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)
    SIGKDD 2024 ·

    Xujiang Zhao

    DBLP profile ↗ORCID search ↗
21. Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
    SIGKDD 2024 · Chen Zhao
22. Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
    ECAI 2024 ·

    Aneesh Komanduri

    DBLP profile ↗ORCID search ↗
23. Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
    CIKM 2024 ·

    Dong Li

    DBLP profile ↗ORCID search ↗
24. Supervised Algorithmic Fairness in Distribution Shifts: A Survey
    IJCAI 2024 ·

    Minglai Shao

    DBLP profile ↗ORCID search ↗
25. Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
    IJCAI 2024 ·

    Yujie Lin

    DBLP profile ↗ORCID search ↗