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Showing papers from University of North Carolina, Chapel Hill Show all papers

57%Worth a look
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MiCo: Microstructure-Consistent Flow Matching for Diffusion MRI Angular Super-Resolution

Zhixuan Zhou, Tingting Dan, Guorong Wu

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Vibe-Spike: An Energy-Preserving EEG Foundation Model Through the Landscape of Neural Coherence

Jun Ye, yuting li, Tingting Dan, Guorong Wu

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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From Heartbeat to Cardiochoreography: A Mechanics Foundation Model for Individualized 4D Cardiac Motion Generation Conditioned on Electrophysiology

Ziquan Wei, Tingting Dan, Guorong Wu

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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What Makes a Good Path? Factoring Manifold Support and Path Geometry

Zhixuan Zhou, Tingting Dan, Guorong Wu

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
80%Must read
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AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals

AVSD separates cross-view consensus from privileged residuals in multi-view self-distillation to adaptively supervise reasoning models, improving math and code benchmarks over single-view methods and GRPO.

Duy Nguyen, Hanqi Xiao, Archiki Prasad, Zaid Khan and 6 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
69%Highly rated
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From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination

An oscillatory spiking neural network uses time-delayed synchronization to coordinate distributed neural spiking and achieve efficient brain-inspired information processing.

Tingting Dan, Guorong Wu

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 3/5
medium 0/10
strict 0/5