Huiyuan Fu

Identification of G-Quadruplexes in Hepatitis E Virus Negative-Sense Genomic RNA as Potent Antiviral Targets

Xiaohui Ding, Dou Zeng, Yingying Bian, Dan Liu et autres

Hepatitis E virus (HEV) causes significant global disease burden with no approved targeted therapies, highlighting the urgent need for innovative treatment strategies. G-quadruplexes (G4s), noncanonical nucleic acid structures formed by guanine-rich sequences, have emerged as important regulators of viral replication. Here, we …

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Selective Diffusion Distillation for Real-World High-Scale Image Super-Resolution

Association for Artificial Intelligence 2026, Huiyuan Fu, Huadong Ma, Xin Wang et autres

High-scale image super-resolution (SR) has become increasingly important with the rapid growth of mobile devices and high-resolution displays. However, current SR methods primarily focus on lower scales and generalize poorly to high-scale scenarios due to severe information loss and complex real-world degradations. …

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HDRMovieformer: A Transformer Framework and Benchmark for Cinematic SDR-to-HDR Conversion

Association for Artificial Intelligence 2026, Huiyuan Fu, Xianwei Li, Huadong Ma et autres

With the growing prevalence of HDR-capable cinema venues such as Cinity LED theaters, there is an increasing demand to convert existing Standard Dynamic Range (SDR) films into High Dynamic Range (HDR) formats for theatrical presentation. However, existing SDR-to-HDR conversion methods are primarily …

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Learning Continuous Degradation for Real-World Arbitrary-Scale Video Super-Resolution

Wenli Zheng, Huiyuan Fu, C Wang, EnYuan Zhang et autres

Arbitrary-scale video super-resolution (VSR) aims to enhance video resolution at continuous scales and has attracted increasing attention in recent years. However, existing methods typically rely on fixed degradation modes, such as bicubic downsampling, which often fail to handle the complex degradations of …

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Multimodal characterization of the responsiveness of eight hepatitis D virus genotype isolates to interferon-alpha treatment

Yibo Ding, Qiudi Li, R. Si, Chengqian Feng et autres

ABSTRACT Chronic hepatitis delta virus (HDV) infection causes the most severe form of viral hepatitis. Although humans produce 12 subtypes of interferon-alpha (IFN-α), IFN-α2a has been the only commonly used treatment against HDV. Previously, we characterized eight HDV genotype isolates with varying …

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NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results

Lei Sun, Andrea Alfarano, Shaolin Su, Kaiwei Wang et autres

This paper presents an overview of NTIRE 2025, the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal of the challenge is to design an event-based method that achieves high-quality image deblurring, with performance quantitatively …

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren, Luc Van Gool et autres

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge ($\sigma=50$), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving high-quality denoising performance, quantitatively evaluated using PSNR, without constraints on …

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NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results

Yingqian Wang, Zhengyu Liang, Fengyuan Zhang, Longguang Wang et autres

This report summarizes the 3rd NTIRE challenge on light field (LF) image super-resolution (SR), focusing on novel methods and their outcomes. This challenge aims to super-resolve LF images degraded by bicubic downsampling, and comprises three tracks: a classical track, an efficiency track, …

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin W. Ren, Luc Van Gool et autres

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving high-quality denoising performance, quantitatively evaluated using PSNR, without …

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results

Lei Sun, Andrea Alfarano, Shaolin Su, Kaiwei Wang et autres

This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal of the challenge is to design an event-based method that achieves high-quality image deblurring, with performance quantitatively …

A Transparent and Flexible Absorber for Electromagnetic Interference Suppression, Designed for 5G Communication and Sub-6G Applications

Senfeng Lai, Huiyuan Fu, Junxian Tan, Jingyi Luo et autres

As 5G technology rapidly advances, the extension of spectrum into millimeter-wave bands enables higher data speeds and reduced latency. However, this frequency expansion introduces significant electromagnetic interference (EMI) issues, particularly in environments with dense equipment and base stations. To tackle these challenges, …

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A multi-band dual-layer encoded microwave absorber with angle selectivity

Senfeng Lai, Jingyi Luo, Junxian Tan, Huiyuan Fu

• Designed a 1-bit coded optimized dual-layer angle-selective absorber. • These coded microwave absorbers feature ultra-thinness, transparency, and multi-band absorption properties. • They exhibit efficient selective absorption performance for specific incidence angles of electromagnetic waves. This work aims to develop a microwave …

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