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Xintao Wu

19 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

AAAI ×4SIGKDD ×3ECML-PKDD ×2ICDE ×2IJCAI ×2ACL ×1ECAI ×1EMNLP ×1NAACL ×1SDM ×1WWW ×1

Frequent coauthors

Aneesh Komanduri
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Chen Zhao
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Sadaf Md. Halim
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Karuna Bhaila
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Qixin Wang
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Qin Tian
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Xiaoxu Ma
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Zhixia He
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Alycia N. Carey
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He Cheng
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Vinay M. S.
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Wen Huang
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Papers

  1. AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System
    AAAI 2026 ·
    Qixin Wang
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  2. Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation
    WWW 2026 ·
    Qin Tian
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  3. LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
    AAAI 2026 ·
    Xiaoxu Ma
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  4. Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
    AAAI 2026 ·
    Zhixia He
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  5. Achieving Flexible Local Differential Privacy in Federated Learning via Influence Functions
    ECML-PKDD 2025 ·
    Alycia N. Carey
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  6. CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
    EMNLP 2025 ·
    Aneesh Komanduri
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  7. Fairness-Aware Active Online Learning with Changing Environments
    ICDE 2025 ·
    Sadaf Md. Halim
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  8. Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation
    ACL 2025 ·
    Sadaf Md. Halim
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  9. Soft Prompting for Unlearning in Large Language Models
    NAACL 2025 ·
    Karuna Bhaila
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  10. The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
    SIGKDD 2025 ·
    Chen Zhao
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  11. 3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
    SIGKDD 2024 ·
    Chen Zhao
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  12. Achieving Counterfactual Explanation for Sequence Anomaly Detection
    ECML-PKDD 2024 ·
    He Cheng
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  13. Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
    SIGKDD 2024 ·
    Chen Zhao
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  14. Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
    ECAI 2024 ·
    Aneesh Komanduri
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  15. Contrastive Learning for Fraud Detection from Noisy Labels
    ICDE 2024 ·
    Vinay M. S.
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  16. Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
    IJCAI 2024 ·
    Aneesh Komanduri
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  17. Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
    SDM 2024 ·
    Karuna Bhaila
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  18. Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
    AAAI 2024 ·
    Wen Huang
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  19. Supervised Algorithmic Fairness in Distribution Shifts: A Survey
    IJCAI 2024 ·
    Minglai Shao
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