Xiaodong Xie

Genome-wide identification and expression analysis of the WOX gene family in quinoa ( Chenopodium quinoa Willd.)

Yuanyuan Lan, Shengjiang Wu, Qi Xu, Xufang Jiang et autres

Chenopodium quinoa exhibits broad-spectrum tolerance to abiotic stresses. However, its limited regenerative capacity hinders systematic functional characterization and the application of gene editing. WOX transcription factors play pivotal roles in meristem maintenance, organogenesis and regeneration. Here, we identified 11 CqWOX family members …

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A class II 5-enolpyruvylshikimate-3-phosphate synthase from Pseudomonas P818 confers robust glyphosate tolerance in transgenic plants

Yuhao Su, Jie Cao, Yan Liu, Xiaodong Xie et autres

Glyphosate is a widely used herbicide that targets 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS), blocking the shikimate pathway and leading to plant death. The discovery of novel EPSPS genes is key to engineering glyphosate tolerance in crops. In this study, we isolated the glyphosate-tolerant bacterial …

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Diagnosis of ocular tumor diseases based on serum Raman spectroscopy combined with AE-LSTM network

Maidina Nabijiang, Yue Wang, Pengfei Zhang, Xiaodong Xie et autres

Ocular tumors are a common type of tumor and accurate diagnosis of ocular tumors is critical for effective treatment and prognosis. Raman spectroscopy is being used as a more efficient and non-invasive method for disease diagnosis. Due to their strong feature extraction …

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A bibliometric and visual analysis of Jak1 to explore trends and frontiers

Cong Yu, Jiamin Cao, Xiaodong Xie, Wenguang Chen et autres

Background: JAK1, a member of the JAK kinase family, is involved in the signal transduction of multiple cytokine pathways and is crucial in the onset and progression of inflammation and tumours. Consequently, JAK1 has garnered significant attention in recent years. Methods: We …

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Adaptive Semantic Compression: Compatible Bitstream for Scalable Human-Machine Perception Sample Adaption

Shaokang Wang, Dingquan Li, Guoqing Xiang, Jinchang Xu et autres

With the development of visual analysis models, collaborative image compression for machine and human perception has brought new challenges to the optimization of algorithms. Existing optimization algorithms achieve this target through meticulously designed model structures and bitstream design. However, the difference in …

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Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression

Jinchang Xu, Shaokang Wang, Jintao Chen, Zhe Li et autres

Leveraging the generative power of diffusion models, generative image compression has achieved impressive perceptual fidelity even at extremely low bitrates. However, current methods often neglect the non-uniform complexity of images, limiting their ability to balance global perceptual quality with local texture consistency …

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Rapid diagnosis of IgA nephropathy using dual branch network combined with FTIR based on cross attention mechanism

Xueqin Zhang, Chenjie Chang, Chen Chen, Cheng Chen et autres

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Three-Stage Progressive Pre-Analysis Framework for VMAF Controllable Image Coding

Shaokang Wang, Guoqing Xiang, Wenzhao Li, Mingyuan Yang et autres

To achieve controllable subjective quality in image coding, this paper proposes a Video Multi-method Assessment Fusion (VMAF)-oriented image coding pre-analysis algorithm, enabling the adaptive derivation of quantization parameters corresponding to a specified quality target. First, a$Q-\mathcal{V}$model is constructed to describe the relationship …

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Efficient Quality Controllable Neural Image Compression based on QD-Model

Shaokang Wang, Guoqing Xiang, Jinchang Xu, Shanghang Zhang et autres

Neural image compression has achieved significant advancements, consistently outperforming traditional codecs in terms of performance. However, research on quality control algorithms for neural image compression is still lacking. In this paper, we propose a framework designed to control the quality of compressed …

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Scene-Adaptive Unsupervised Crowd Counting for Video Surveillance

Rui Ma, Yi Hou, Huizhu Jia, Xiaodong Xie

In recent years, significant advancements in deep learning have expanded its application in a variety of computer vision tasks. However, the performance of these models heavily depends on the quality of the training data. While existing crowd counting methods yield satisfactory results …

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Identification and analysis of long non-coding RNAs response to quinclorac stress in tobacco

Ziguang Li, Jing Yun Lv, Zhong Wang, Li Feng et autres

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Joint Frame-Level and Block-Level Rate-Perception Optimized Preprocessing for Video Coding

Huajie Tan, Guoqing Xiang, Xiaodong Xie, Huizhu Jia

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