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Taylor T. Johnson

8 papers at tracked venues · 2 at CORE A* · active 2024–2026

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Venues

AAAI ×1AAMAS ×1EACL ×1ECAI ×1ECML-PKDD ×1IJCAI ×1NeurIPS ×1WACV ×1

Frequent coauthors

Preston K. Robinette
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Ziyan An
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Tianshu Bao
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Dung Thuy Nguyen
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Navid Hashemi
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Papers

  1. SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities
    WACV 2026 ·
    Dung Thuy Nguyen
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  2. We Are What We Repeatedly Do: Improving Long Context Instruction Following
    EACL 2026 ·
    Preston K. Robinette
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  3. Combining LLMs with a Logic-Based Framework to Explain MCTS
    AAMAS 2025 ·
    Ziyan An
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  4. Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
    NeurIPS 2025 ·
    Navid Hashemi
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  5. Formal Logic Enabled Personalized Federated Learning through Property Inference
    AAAI 2024 ·
    Ziyan An
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  6. Sanitizing Hidden Information with Diffusion Models
    ECAI 2024 ·
    Preston K. Robinette
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  7. Spatial-Temporal PDE Networks for Traffic Flow Forecasting
    ECML-PKDD 2024 ·
    Tianshu Bao
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  8. Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
    IJCAI 2024 ·
    Tianshu Bao
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