Chengjun Zhang

Knowledge-Guided Multimodal Resource Identification in Low-Voltage Transformer Areas with Sparse Measurements

Xiaoxing Lu, Xiaolong Xiao, Wenqiang Xie, Shuo Han et autres

Identifying distributed photovoltaic generation, battery energy storage, and load-dominant behaviour remains challenging when transformer-area measurements are sparse, operating patterns overlap, and reference labels are incomplete. We develop a knowledge-guided multimodal learning framework that combines raw electrical sequences with temporal, statistical, frequency-domain, and …

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Robot-assisted third kidney transplantation in a patient with exhausted iliac fossae: A case report

Jianxin Cui, Jiantao Wang, Jitao Wu, Chengjun Zhang et autres

Third kidney transplantation is rare and technically challenging because of exhausted iliac fossae, dense adhesions, and increased vascular risks. Robot-assisted kidney transplantation (RAKT) has emerged as a minimally invasive alternative, although its role in complex retransplantation remains uncertain. We report a 41-year-old …

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Enhanced image retrieval: Leveraging multi-head attention & multi-scale descriptors and hybrid aggregation feature indexing

Wenbin Yu, Jiaqi Li, Yifan Zhang, Chengjun Zhang et autres

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Yuemu: A New Rhododendron dauricum Cultivar

Dan Wang, Chengjun Zhang, Ran Xu, Ying Ma et autres

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QCNN-Inspired Variational Circuits for Enhanced Noise Robustness in Quantum Deep Q-Learning

Le‐Xing Yu, Wenbin Yu, Yadang Chen, Chengjun Zhang

Quantum reinforcement learning (QRL) is often evaluated under idealized, noiseless assumptions, yet realistic quantum devices inevitably introduce noise that can severely degrade performance. This paper improves the robustness of quantum deep Q-learning (QDQN) by redesigning the variational quantum circuit (VQC) used in …

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Identification of ubiquitination-related signature genes for predicting kidney transplant rejection

Zhengfei Shan, Shengqiang Yu, Jiantao Wang, Jianxin Cui et autres

Kidney transplant rejection (KTR) poses significant challenges to long-term graft survival, with involvement from ubiquitination-related genes (URGs) in immune modulation. This study aimed to identify key URGs linked to KTR and develop a predictive model for rejection risk. mRNA array data from …

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CSDformer: A Conversion Method for Fully Spike-Driven Transformer

Yuhao Zhang, Chengjun Zhang, Di Wu, Jie Yang et autres

Spike-based transformer is a novel architecture aiming to enhance the performance of spiking neural networks while mitigating the energy overhead inherent to transformers. However, methods for generating these models suffer from critical limitations: excessive training costs introduced by direct training methods, or …

Ultra-Low-Latency Spiking Neural Networks with Temporal-Dependent Integrate-and-Fire Neuron Model for Objects Detection

Chengjun Zhang, Yuhao Zhang, Jie Yang, Mohamad Sawan

Spiking Neural Networks (SNNs), inspired by the brain, are characterized by minimal power consumption and swift inference capabilities on neuromorphic hardware, and have been widely applied to various visual perception tasks. Current ANN-SNN conversion methods have achieved excellent results in classification tasks …

DFST-GAN: A Dynamic Flow Spatio-Temporal Generative Adversarial Network for High-Quality Precipitation Nowcasting

Jiawei Shi, Wenbin Yu, Chengjun Zhang, Jie Liu et autres

This paper proposes a Dynamic Flow Spatio-Temporal Generative Adversarial Network (DFST-GAN) model for high-quality precipitation nowcasting. Current spatio-temporal prediction models struggle with two key limitations: the inability to adaptively capture complex motion patterns and the tendency to generate blurry predictions over time. …

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METTL3-mediated modification of SIRT1 m6A methylation protects osteoblasts from TBHP-induced senescence and promotes osteoblast proliferation

Yi Chen, Yaobin Wang, Hefang Xiao, Fei Teng et autres

The condition of age-related osteoporosis involves more senescent osteoblasts and a significant decline in osteoblast proliferation within the bone microenvironment. Methyltransferase 3 (METTL3), a key methylating enzyme, has been previously described as alleviating osteoporosis associated with estrogen deficiency. However, METTL3-mediated m6A modification …

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Identifying active spreading nodes in complex networks

Jin Liu, Wenbin Yu, Chengjun Zhang, J. Gu et autres

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QSA-QConvLSTM: A Quantum Computing-Based Approach for Spatiotemporal Sequence Prediction

Wenbin Yu, Zongyuan Chen, Chengjun Zhang, Yadang Chen

The ability to capture long-distance dependencies is critical for improving the prediction accuracy of spatiotemporal prediction models. Traditional ConvLSTM models face inherent limitations in this regard, along with the challenge of information decay, which negatively impacts prediction performance. To address these issues, …

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