Qinzhen Xu

SnRK1 as the Core Node Integrating Energy Homoeostasis, Stress Adaptation and Hormonal Crosstalk in Plants

Qinzhen Xu, Fanjiang Kong, Wenqiang Yang

The SnRK1 (sucrose nonfermenting 1-related protein kinase 1) plays a pivotal role in plant growth, development and stress responses. This review provides an overview of the structure, posttranslational regulation and diverse functions of SnRK1 in plants. SnRK1 is a heterotrimeric complex composed …

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A case of 18F-FDG PET/MR facilitates early diagnosis of anti-GFAP encephalitis disease

Xiaoju Liu, Xiangbin Deng, Hongyan Wang, Chaoqin Zhang et autres

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Enhanced Reverse Distillation Guided Segmentation Network for Anomaly Detection

Xu Li, Xiang Ma, Jiahao Chen, Qinzhen Xu et autres

Image anomaly detection holds significant potential across various domains. The scarcity of anomaly samples in real-world scenarios makes unsupervised anomaly detection more practical, as acquiring a substantial number of anomaly samples is often challenging. Despite the progress made by image reconstruction-based methods …

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Nitrogen inhibition of nitrogenase activity involves the modulation of cytosolic invertase in soybean nodule

Qinzhen Xu, Xin Wang, Nan Wang, Suning Li et autres

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Intelligent Distributed Beam Selection for Cell-Free Massive MIMO Hybrid Precoding

Cheng Zhang, Xiaojin Zhang, Lan Wei, Qinzhen Xu et autres

Hybrid precoding in cell-free massive MIMO (CF-mMIMO) faces many challenges, e.g., large cascaded beamspace and high signaling overhead. In this letter, we propose a two-stage distributed beam selection for CF- mMIMO hybrid precoding. Each base station (BS) first learns an efficient beamspace …

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A Personalized Solution for Deep Learning-Based mmWave Beam Selection

Muchen Tian, Zhengming J. Zhang, Qinzhen Xu, Lüxi Yang

With the increasing sensing and computing power of vehicles, beam selection solutions based on deep learning (DL) and sensor data have attracted attention in vehicle-to-infrastructure (V2I) scenarios. The existing DL-based beam selection solutions generally provide a single global model for all vehicles. …

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A Privacy-Preserved Split Learning Solution for Deep Learning-Based mmWave Beam Selection

Muchen Tian, Zhengming J. Zhang, Qinzhen Xu, Lüxi Yang

Side information, like light detection and ranging data, is promising to help the millimeter wave (mmWave) system achieve efficient link configuration through machine learning methods. However, collecting and using this information may violate user privacy. In this letter, we propose a novel …

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Insights into soybean with high photosynthetic efficiency

Qinzhen Xu, Xiao Liu, Chun‐yang Zhang, Du Weiguang et autres

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GmPIN-dependent polar auxin transport is involved in soybean nodule development

Zhen Gao, Zhiwei Chen, Yuanyuan Cui, Meiyu Ke et autres

To overcome nitrogen deficiency, legume roots establish symbiotic interactions with nitrogen-fixing rhizobia that are fostered in specialized organs (nodules). Similar to other organs, nodule formation is determined by a local maximum of the phytohormone auxin at the primordium site. However, how auxin …

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User Association and Power Allocation Based on Unsupervised Graph Model in Ultra-Dense Network

Kunlin Hou, Qinzhen Xu, Xiangyu Zhang, Yongming Huang et autres

Ultra-Dense Network (UDN) has become a key technology in 5G communication systems. By deploying low power micro base stations (BSs) densely and flexibly to reduce the distance between access nodes and user equipments (UEs), the spectrum efficiency and energy efficiency of the …

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Bi-Directional Selectivity Refinement Network for Salient Object Detection

Junbin Yuan, Peiting Li, Qinzhen Xu, Zhenyang Lin et autres

Salient object detection is a fundamental computer vision task. The majority of current algorithms focus on the use of edge information. However, these algorithms are limited to one-way auxiliary training or feature fusion to improve salient features. In this paper, we propose …

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A Multi-thread Business License Identification System Based on Modified DenseNet

Zhe Yang, Chunguo Li, Yang Liu, Xin Chen et autres

There emerges an increasing need to stimulate trustworthy computer-aided authentication to provide solid technical support in commerce. Recently, remarkable advances have been made in text recognition, primarily driven by the success of Faster R-CNN [1] and DenseNet [2]. However, these networks failed …

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