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Xin Yao

Lingnan University, Hong Kong, China

19 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

AAAI ×3ACL ×3NeurIPS ×3ECAI ×2ECML-PKDD ×2PPSN ×2ACM MM ×1GECCO ×1ICCV ×1ICLR ×1

Frequent coauthors

Dashan Gao
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Xinwei Guo
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Junlei Zhou
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Jiashi Gao
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Yifan Liu
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Yi Lin
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Adam Zychowski
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Yuxuan Li
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Chao Pan
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Chengpeng Hu
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Han Zhang
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Ziqi Wang
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Papers

  1. Can LLMs Hear the Dogwhistle?
    ACL 2026 ·
    Yifan Liu
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  2. GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models
    AAAI 2026 ·
    Yi Lin
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  3. The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
    AAAI 2026 ·
    Xinwei Guo
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  4. Diversity-driven Cooperating Portfolio of Metaheuristic Algorithms
    GECCO 2025 ·
    Adam Zychowski
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  5. LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
    ACL 2025 ·
    Yuxuan Li
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  6. Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination
    ICCV 2025 ·
    Chao Pan
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  7. Mitigating Stereotypes in Text-to-Image Generation: A Novel Perspective of Selective Neural Suppression
    ACM MM 2025 ·
    Junlei Zhou
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  8. The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
    ACL 2025 ·
    Xinwei Guo
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  9. Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect
    ECAI 2024 ·
    Jiashi Gao
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  10. Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
    NeurIPS 2024 ·
    Junlei Zhou
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  11. Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
    AAAI 2024 ·
    Dashan Gao
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  12. Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
    NeurIPS 2024 ·
    Jiashi Gao
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  13. Evolutionary Reinforcement Learning via Cooperative Coevolution
    ECAI 2024 ·
    Chengpeng Hu
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  14. Knowledge-Guided Optimization for Complex Vehicle Routing with 3D Loading Constraints
    PPSN 2024 ·
    Han Zhang
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  15. Label Privacy Source Coding in Vertical Federated Learning
    ECML-PKDD 2024 ·
    Dashan Gao
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  16. Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation
    ICLR 2024 ·
    Ziqi Wang
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  17. Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning
    ECML-PKDD 2024 ·
    Dashan Gao
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  18. Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
    NeurIPS 2024 ·
    Ziyi Zhou
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  19. When Does the Time-Linkage Property Help Optimization by Evolutionary Algorithms?
    PPSN 2024 ·
    Mingfeng Li
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