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Xuefeng Liu

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

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Nov 20, 2024
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Why Go Full? Elevating Federated Learning Through Partial Network Updates

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Oct 15, 2024
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GLC-SLAM: Gaussian Splatting SLAM with Efficient Loop Closure

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Sep 17, 2024
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DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations

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Jul 25, 2024
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Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation

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Jul 23, 2024
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The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning

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Jul 22, 2024
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Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition

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Jun 28, 2024
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Entropy-Reinforced Planning with Large Language Models for Drug Discovery

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Jun 11, 2024
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Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning

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May 30, 2024
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Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling

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May 18, 2024
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