Hongwei Qin
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View article: Multi-Scale Retention to Improve Urban Stormwater Drainage Capacity Based on a Multi-Objective Optimization Strategy
Multi-Scale Retention to Improve Urban Stormwater Drainage Capacity Based on a Multi-Objective Optimization Strategy Open
With global climate changing, numerous cities have a rise in the frequency of heavy rainfall events. Concurrently, the rapid urbanization is increasing the impermeable surfaces, heightening the vulnerability to cope with flooding of urban …
View article: Exploratory study of peripheral immune changes associated with diffusion <scp>MRI</scp> multi‐compartment model in temporal lobe epilepsy
Exploratory study of peripheral immune changes associated with diffusion <span>MRI</span> multi‐compartment model in temporal lobe epilepsy Open
Objective Studies in temporal lobe epilepsy (TLE) have shown that focal inflammation is a key contributor to seizure initiation and maintenance. However, most in vivo studies to date have focused on positron emission tomography (PET) findi…
View article: Key Drivers of Sustainable Marketing in the Chinese Hotel Industry: The Mediating Role of Big Data Applications and Marketing Innovation
Key Drivers of Sustainable Marketing in the Chinese Hotel Industry: The Mediating Role of Big Data Applications and Marketing Innovation Open
The service industry in China faces significant challenges in achieving environmental sustainability, with sustainable marketing emerging as a critical solution. This study aims to develop a comprehensive model combining the Stimulus–Organ…
View article: Evaluation of the Long-Term Corneal Biomechanics Following SMILE With Different Residual Stromal Bed Thickness in Rabbits
Evaluation of the Long-Term Corneal Biomechanics Following SMILE With Different Residual Stromal Bed Thickness in Rabbits Open
Our findings could provide valuable insights into the safety of performing SMILE with reduced RST values for high myopia correction and guide SMILE procedures.
View article: Brain temperature, brain metabolites, and immune system phenotypes in temporal lobe epilepsy
Brain temperature, brain metabolites, and immune system phenotypes in temporal lobe epilepsy Open
Objective Epileptogenesis is linked to neuroinflammation. We hypothesized that local heat production caused by neuroinflammation can be visualized non‐invasively in vivo via brain magnetic resonance spectroscopic imaging (MRSI) and MRSI‐th…
View article: Insight into flavor difference of cherry (Prunus avium L.) grown in facility environment and outdoors through metabolomics and correlation analysis
Insight into flavor difference of cherry (Prunus avium L.) grown in facility environment and outdoors through metabolomics and correlation analysis Open
The flavor profiles of cherries cultivated in greenhouse and those grown in open fields show significant variations, however, the underlying flavor-contributing factors remain unidentified. Hence, a joint investigation with widely targeted…
View article: Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization
Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization Open
Learned Image Compression (LIC) has achieved dramatic progress regarding objective and subjective metrics. MSE-based models aim to improve objective metrics while generative models are leveraged to improve visual quality measured by subjec…
View article: Efficient Learned Lossless JPEG Recompression
Efficient Learned Lossless JPEG Recompression Open
JPEG is one of the most popular image compression methods. It is beneficial to compress those existing JPEG files without introducing additional distortion. In this paper, we propose a deep learning based method to further compress JPEG im…
View article: Exploring the Aroma Fingerprint of Various Chinese Pear Cultivars through Qualitative and Quantitative Analysis of Volatile Compounds Using HS-SPME and GC×GC-TOFMS
Exploring the Aroma Fingerprint of Various Chinese Pear Cultivars through Qualitative and Quantitative Analysis of Volatile Compounds Using HS-SPME and GC×GC-TOFMS Open
To comprehensively understand the volatile compounds and assess the aroma profiles of different types of Pyrus ussuriensis Maxim. Anli, Dongmili, Huagai, Jianbali, Jingbaili, Jinxiangshui, and Nanguoli were detected via headspace solid pha…
View article: FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow Open
This paper introduces a novel transformer-based network architecture, FlowFormer, along with the Masked Cost Volume AutoEncoding (MCVA) for pretraining it to tackle the problem of optical flow estimation. FlowFormer tokenizes the 4D cost-v…
View article: VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation Open
We introduce VideoFlow, a novel optical flow estimation framework for videos. In contrast to previous methods that learn to estimate optical flow from two frames, VideoFlow concurrently estimates bi-directional optical flows for multiple f…
View article: FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation Open
FlowFormer introduces a transformer architecture into optical flow estimation and achieves state-of-the-art performance. The core component of FlowFormer is the transformer-based cost-volume encoder. Inspired by the recent success of maske…
View article: Spatial Moment Pooling Improves Neural Image Assessment
Spatial Moment Pooling Improves Neural Image Assessment Open
In recent years, there has been widespread attention drawn to convolutional neural network (CNN) based blind image quality assessment (IQA). A large number of works start by extracting deep features from CNN. Then, those features are proce…
View article: Multi-Sample Training for Neural Image Compression
Multi-Sample Training for Neural Image Compression Open
This paper considers the problem of lossy neural image compression (NIC). Current state-of-the-art (sota) methods adopt uniform posterior to approximate quantization noise, and single-sample pathwise estimator to approximate the gradient o…
View article: Flexible Neural Image Compression via Code Editing
Flexible Neural Image Compression via Code Editing Open
Neural image compression (NIC) has outperformed traditional image codecs in rate-distortion (R-D) performance. However, it usually requires a dedicated encoder-decoder pair for each point on R-D curve, which greatly hinders its practical d…
View article: [Effects of SMILE with different residual stromal thicknesses on corneal biomechanical properties of rabbits in vivo].
[Effects of SMILE with different residual stromal thicknesses on corneal biomechanical properties of rabbits in vivo]. Open
Femtosecond laser small incision lenticule extraction (SMILE) with different residual stromal thicknesses (RST) is set to investigate its effect on corneal biomechanical properties of rabbits in vivo. In this study, 24 healthy adult Japane…
View article: Evaluating the Practicality of Learned Image Compression
Evaluating the Practicality of Learned Image Compression Open
Learned image compression has achieved extraordinary rate-distortion performance in PSNR and MS-SSIM compared to traditional methods. However, it suffers from intensive computation, which is intolerable for real-world applications and lead…
View article: PO-ELIC: Perception-Oriented Efficient Learned Image Coding
PO-ELIC: Perception-Oriented Efficient Learned Image Coding Open
In the past years, learned image compression (LIC) has achieved remarkable performance. The recent LIC methods outperform VVC in both PSNR and MS-SSIM. However, the low bit-rate reconstructions of LIC suffer from artifacts such as blurring…
View article: Synthesis and biological evaluation of thiazolidine-2-thione derivatives as novel xanthine oxidase inhibitors
Synthesis and biological evaluation of thiazolidine-2-thione derivatives as novel xanthine oxidase inhibitors Open
Xanthine oxidase (XO) is a key enzyme in the generation and development of hyperuricemia. Thiazolidine-2-thione, a typical heterocyclic compound, have been widely used in the field of drug synthesis. In this study, a series of novel thiazo…
View article: FlowFormer: A Transformer Architecture for Optical Flow
FlowFormer: A Transformer Architecture for Optical Flow Open
We introduce optical Flow transFormer, dubbed as FlowFormer, a transformer-based neural network architecture for learning optical flow. FlowFormer tokenizes the 4D cost volume built from an image pair, encodes the cost tokens into a cost m…
View article: Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain
Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain Open
JPEG is a popular image compression method widely used by individuals, data center, cloud storage and network filesystems. However, most recent progress on image compression mainly focuses on uncompressed images while ignoring trillions of…
View article: ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding Open
Recently, learned image compression techniques have achieved remarkable performance, even surpassing the best manually designed lossy image coders. They are promising to be large-scale adopted. For the sake of practicality, a thorough inve…
View article: Post-Training Quantization for Cross-Platform Learned Image Compression
Post-Training Quantization for Cross-Platform Learned Image Compression Open
It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications. One of the most critical issues that need to be considered is the non-determin…
View article: Correction: Biological Characteristics of Cell Similarity Measure
Correction: Biological Characteristics of Cell Similarity Measure Open
1) and ( 2) and the segment weighting similarity (SWS) in equation ( 3) had been presented incorrectly.
View article: HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning Open
Learned image compression is making good progress in recent years. Peak signal-to-noise ratio (PSNR) and multi-scale structural similarity (MS-SSIM) are the two most popular evaluation metrics. As different metrics only reflect certain asp…
View article: Dysregulation of the Adaptive Immune System in Patients With Early-Stage Parkinson Disease
Dysregulation of the Adaptive Immune System in Patients With Early-Stage Parkinson Disease Open
These findings suggest that alterations in the adaptive immune system may promote clinical disease in PD by skewing to a more proinflammatory state in the early-stage PD patient cohort. Our study may shed light on potential immunotherapies…