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Showing papers from Hefei University of Technology Show all papers

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GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales

GFD-OPD fixes diffusion on-policy distillation by reducing student-teacher gaps and preventing classifier-free guidance error amplification, achieving state-of-the-art compression results.

Zhenxing Zhang, Jiayan Teng, Wenxu Wu, Zhuoyi Yang and 5 more

Published Sep 30, 2026 · 0 citations

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 0/5
57%Worth a look
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Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized Generation

Haipeng Liu, Yang Wang, Meng Wang

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction Prediction

Jiheng Liang, Chen Zhao, Di Wu, Chenyang Bu and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 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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RAWild: Toward Sensor-Agnostic RAW Object Detection via Physics-Guided Curve and Grid Modeling

Shuhong Liu, Gengjia Chang, Jun Liu, Xuangeng Chu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
72%Highly rated
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DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation

DisRFM embeds graph representations on constant-curvature manifolds with polar flow matching to prevent structural degeneration and optimization instability, outperforming state-of-the-art graph domain adaptation methods.

Yingxu Wang, Xinwang Liu, Siyang Gao, Mengzhu Wang and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 1/5
78%Highly rated
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Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling

DeScore decouples chain-of-thought reasoning from scoring in video reward models to improve generalization and training stability. Its think-then-score design uses explicit reasoning followed by a dedicated regression head, optimized via cold-start and dual-objective reinforcement learning.

Yuan Wang, Ouxiang Li, Yulong Xu, Borui Liao and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
88%Must read
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A Benchmark for Omni-Modal Reasoning in Long Videos

LongShOTBench evaluates long-form omni-modal video reasoning via rubric-scored open-ended questions, and LongShOTAgent achieves 66.64% as the top training-free system.

Mohammed Irfan Kurpath, Jaseel M Kaithakkodan, Jinxing Zhou, Sahal Shaji Mullappilly and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 26

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
78%Highly rated
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FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution

FluxFlow uses conservative flow matching with observation uncertainty and Wiener-regularized correction for ground-to-space astronomical super-resolution, outperforming baselines on real DESI-HST pairs.

Shuhong Liu, Xining Ge, quanfeng xu, Ziteng Cui and 8 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5