Xinyu Zhong

Rapid fertilizer nutrient analysis enabled by handheld LIBS (hLIBS) and an intelligent Euclidean distance prediction algorithm

Xinyu Zhong, Fei Ma, Jianmin Zhou

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High-throughput screening of bimetallic metal–organic frameworks for efficient generation of reactive oxygen species

Xinyu Zhong, Yifei Ye, Miaomiao Zheng, Xiubing Huang

Abstract Currently, the issue of bacterial drug resistance is becoming increasingly severe. Metal–organic frameworks (MOFs) are considered ideal catalysts for reactive oxygen species (ROS) generation and antibacterial applications due to their superior properties, though efficient screening of high-performance MOFs remains challenging. This …

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High-throughput screening of efficient Metal-Organic Frameworks for the generation of reactive oxygen species

Xinyu Zhong, Miaomiao Zheng, Rushuo Li, Xiubing Huang et autres

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Low-Latency High-Throughput Decoder of QC-LDPC Codes by Matrix Splitting

Xinyu Zhong, S C Gong, Ming Jiang, Chunming Zhao

As the continuously increasing demand of high data rate and lower transmission, many modern communication systems employ the LDPC coding scheme with ultra-high throughput decoder to achieve these challenging requirements. However, due to the implementation complexity of decoding algorithm, designing an ultra-high …

Optimized LNS-FAID of LDPC codes: a hybrid precision decoding approach for 50G-PON

Yanchen Lyu, Ming Jiang, Mingyang Zhu, Xinyu Zhong et autres

Efficient error correction in high-speed communication networks, such as the 50G passive optical network (50G-PON), is paramount. This Letter focuses on optimizing a layered non-surjective finite alphabet iterative decoder (LNS-FAID) for 50G-PON, with an emphasis on high-throughput and low-power consumption. We propose …

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A vehicle detection method based on Taylor expansion model pruning algorithm

Zheng Li, Anyan Xiao, Huangxin Xu, Yucheng Cao et autres

In order to solve the problems of large number of deep model parameters and poor real-time performance in the existing vehicle detection methods, this paper proposes a vehicle detection method based on Taylor expansion model pruning algorithm. VGG16 is the main trunk …

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Neural Network-Based Algorithm for Detecting Key Parts of Vehicles in SAR Images

Xinyu Zhong, Xinyi He, Xiaobing Wang

In recent years, the application of neural networks in Synthetic Aperture Radar (SAR) image processing has made important progress. A large amount of work has proven that object recognition neural networks designed for optical images also can be used for SAR images. …

Probabilistic Error Detecting in Numerical Linked Data

Huiying Li, Yuanyuan Li, Feifei Xu, Xinyu Zhong

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The results of Falcon-AO in the OAEI 2006 campaign

Wei Ping Hu, Gong Cheng, Dongdong Zheng, Xinyu Zhong et autres

Abstract. In this paper, we briefly introduce the architecture of Falcon-AO (version 0.6) and highlight two major improvements in the current version. Falcon-AO successfully completes all the five alignment tasks in the OAEI 2006 campaign: benchmark, anatomy, directory, food, and conference, and …

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