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Kangning Liu

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Multi-modal AI for comprehensive breast cancer prognostication

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Oct 28, 2024
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AutoGLM: Autonomous Foundation Agents for GUIs

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Oct 28, 2024
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Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects

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Nov 21, 2023
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Controllable One-Shot Face Video Synthesis With Semantic Aware Prior

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Apr 27, 2023
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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

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Oct 17, 2022
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Are All Losses Created Equal: A Neural Collapse Perspective

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Oct 08, 2022
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Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution

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Nov 03, 2021
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Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

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Oct 07, 2021
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Cramér-Rao bound-informed training of neural networks for quantitative MRI

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Oct 05, 2021
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Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis

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Jun 15, 2021
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