Lei Jin

Beijing University of Posts and Telecommunications

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Zongliang Huo

Institute of Microelectronics

Xiaojuan Wang

Beijing University of Posts and Telecommunications

Qingming Wang

Shuguang Hospital

Mingshu He

Beijing University of Posts and Telecommunications

Wenling Wang

Syngenta (United States)

Jian Zhao

China Telecom (China)

Dandan Jiang

Dalian Maritime University

Xingqi Zou

Institute of Computing Technology

Mei Song

Beijing University of Posts and Telecommunications

Xinlei Jia

Institute of Microelectronics

Cooperative Institutions

Chinese Academy of Sciences

132

University of Chinese Academy of Sciences

Beijing University of Posts and Telecommunications

Institute of Microelectronics

Peking University

Tsinghua University

National University of Defense Technology

University of Science and Technology of China

Shanghai Jiao Tong University

Zhejiang University

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A multi-fidelity simulation approach for adaptive cycle engine performance analysis by integrating 3D model of variable geometry turbine system

Applied Thermal Engineering (2025)

Wangzhi Zou Heli Yang Baotong Wang Weitao Liu Jun Lai

High fidelity

10.1016/j.applthermaleng.2025.125987

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Citations (0)

Semi Solid Metal Forming of AlSi7Mg alloy

Materials Technology (2000)

K. Zhang Y. Z. Zhang Guisheng Liu Jie Xu Lei Shi

10.1080/10667857.2000.11752883

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Citations (3)

Preparation and Magnetic Property of Carbon Nanotube/NiZnCo Ferrite Composite

Advanced materials research (2013)

X. Zhou Hui Cheng Jun Ping Wang Lei Jin Tong Ming Huang

Precipitation hydrothermal method was used to synthesis carbon nanotubes (CNTs) /Ni 0.5 Zn 0. 45 Co 0.05 Fe 2 O 4 composites, and then 1wt%CNTs/Ni 0.5 Zn 0. 45 Co 0.05 Fe 2 O 4 ceramics were fabricated by spark plasma sintering (SPS) technique. The phase, microstructure and magnetic properties of 1wt%CNTs/Ni 0.5 Zn 0. 45 Co 0.05 Fe 2 O 4 were investigated. The results show that, the substitution of zinc ions by cobalt didn’t change the spinel phase of Ni-Zn ferrite. In the SPS process, CNTs promoted the sintering kinetics, and the liquid state of Ni can act as sintering aid to accelerate the grain boundary extension. After sintered by SPS at 750 °C for 5min, the density of the bulk is about 5.2g/cm 3 , the grain size increased to 91nm, and the saturation magnetization of the 1wt%CNTs/Ni 0.5 Zn 0. 45 Co 0.05 Fe 2 O 4 composite ceramics reached at 79.7emu/g.

Spark Plasma Sintering

10.4028/www.scientific.net/amr.833.286

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Citations (0)

Design of internal flow passage of internal chip removal drill for suction-type internal chip removal system

The International Journal of Advanced Manufacturing Technology (2022)

Meng Wang Chengyang Xu Aili Zou Gongdong Wang Yiwen Wang

Chip formation

Internal flow

Drill bit

10.1007/s00170-021-08430-3

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CSK-CNN: Network Intrusion Detection Model Based on Two-Layer Convolution Neural Network for Handling Imbalanced Dataset

Information (2023)

Jiaming Song Xiaojuan Wang Mingshu He Lei Jin

In computer networks, Network Intrusion Detection System (NIDS) plays a very important role in identifying intrusion behaviors. NIDS can identify abnormal behaviors by analyzing network traffic. However, the performance of classifier is not very good in identifying abnormal traffic for minority classes. In order to improve the detection rate on class imbalanced dataset, we propose a network intrusion detection model based on two-layer CNN and Cluster-SMOTE + K-means algorithm (CSK-CNN) to process imbalanced dataset. CSK combines the cluster based Synthetic Minority Over Sampling Technique (Cluster-SMOTE) and K-means based under sampling algorithm. Through the two-layer network, abnormal traffic can not only be identified, but also be classified into specific attack types. This paper has been verified on UNSW-NB15 dataset and CICIDS2017 dataset, and the performance of the proposed model has been evaluated using such indicators as accuracy, recall, precision, F1-score, ROC curve, AUC value, training time and testing time. The experiment shows that the proposed CSK-CNN in this paper is obviously superior to other comparison algorithms in terms of network intrusion detection performance, and is suitable for deployment in the real network environment.

10.3390/info14020130

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Citations (10)

Investigation of Cycling-Induced Dummy Cell Disturbance in 3D NAND Flash Memory

IEEE Electron Device Letters (2017)

Xingqi Zou Lei Jin Dandan Jiang Yu Zhang Guoxing Chen

The disturbance mechanism of dummy cell during memory cell cycling has been investigated in 3D NAND flash. Edge dummy cell (DMY) threshold voltage increasing was observed during cell program and erase cycling, which leads to a reduced string current and read failure. According to experiment and TCAD analysis, two mechanisms were identified to contribute to the dummy disturbance: one is the tunneling of electrons from the adjacent gate to the trapping layer during cell erase condition, which was also observed in 2D NAND; the other one is the lateral charge spreading from the trapping layer of edge cell to DMY, which is a new observation for the junction-less 3D NAND with continuous nitride trapping layer. Furthermore, an optimal DMY bias scheme under erase operation is demonstrated to suppress the disturbance.

Non-Volatile Memory

Memory cell

Flash Memory

10.1109/led.2017.2785843

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Citations (17)

Modality Meets Long-Term Tracker: A Siamese Dual Fusion Framework for Tracking UAV

2022 IEEE International Conference on Image Processing (ICIP) (2023)

Zhihao Zhang Lei Jin Shengjie Li JianQiang Xia Jun Wang

Tracking an Unmanned Aerial Vehicle (UAV) to obtain its locations and trajectory is a crucial task to avoid the unlawful use of UAVs. However, most existing UAV tracking methods fail when facing cluster environments, out-of-view, and occlusions because of their insufficient representation of global context information capacity. To mitigate these issues, we propose a new tracker, namely SiamFusion, to innovate a dual fusion procedure that leverages the advantages in both the feature and decision levels. In particular, we propose a novel feature fusion module named Modality-Fusion to utilize multi-modal information, enhancing the perception of the target. From the decision level, we further develop a local-global converter based on a multi-modal fusion decision-making mechanism to reduce the accumulation during tracking, which significantly increases the robustness of the tracking process. Extensive experiments demonstrate the superiority of the proposed SiamFusion, which achieves the best performance on Anti-UAV in terms of accuracy and speed. In particular, we exceed the state-of-the-art tracking algorithm in the tracking accuracy by 4.2% at a similar frame rate. Our source codes, pre-trained models, and online demos will be released upon acceptance.

Robustness

Fusion mechanism

Tracking (education)

10.1109/icip49359.2023.10222679

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Citations (4)

New fluorescent chemosensors based on mononuclear copper complex for highly selective and sensitive detection of phosphate anion in aqueous solution and living cells

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2018)

Qingming Wang Hui Sheng Lei Jin Zhiheng Zhang Wenling Wang

10.1016/j.saa.2018.09.008

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Citations (23)

Arbitrary-Order and Multichannel Optical Vortices with Simultaneous Amplitude and Phase Modulation on Plasmonic Metasurfaces

Nanomaterials (2022)

Qing’an Sun Wangying Yang Lei Jin Jingcheng Shangguan Yilin Wang

The highly localized and uneven spatial distribution of the subwavelength light field in metal metasurfaces provides a promising means for the generation of optical vortices (OVs) with arbitrary topological charges. In this paper, a simple and reliable way for generating multichannel OVs on gold nanoporous metasurfaces is reported. The instantaneous field of arbitrary-order OVs can be regulated and concentrated on the same focal surface by adapting photonic spin-orbit interaction (SOI) and geometric phase. The focal ring energy distribution of OVs along the conical propagation path is accurately calculated, and the double phase of units induced by spin rotation is confirmed. Based on the parameter optimization of the nanohole arrangement, the simultaneous amplitude and phase modulation of multichannel OVs has been realized. Furthermore, the average multichannel signal-to-noise ratio exceeds 15 dB, which meets the requirements of high resolution and low crosstalk. Our study obtains broadband and efficient OVs, which can contribute to improving the capacity storage and security of optical information and possess great application prospects in beam shaping, optical tweezers, and communication coding.

Optical vortex

Modulation (music)

10.3390/nano12193476

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Citations (2)

Analysis of the spatial cascading effect in networks

International Journal of Modern Physics C (2019)

Mo Chen Lei Jin Xiangyang Gong Xiaojuan Wang Wenhua Sun

Reality networks such as power grids and social networks can be spatially embedded. In this paper, we focus on the spatial cascading effect in such networks. The spatial cascading effect is that the failure of one node may cause other nodes that are close to it in space to fail. The phenomenon is very common, such that a person is more likely to have an impact on his neighbors even if he is not connected with his neighbors via social networks. Based on this, we construct a spatial cascading model to simulate the spatial cascading effect. In addition, we apply the exponential distribution [Formula: see text] to fit the real link distances. The networks are generated by two-dimensional lattices. We define two kinds of connections, namely actual spatial connections. The actual connections are links generated by the exponential distribution. The spatial connections are links in the lattice. Simulations show that the spatial embeddedness makes networks more robust in our model, which is different from previous research results. We put forward an algorithm to alter the link distances in the networks without changing node degree values. Using the algorithm verifies our conclusion that if nodes tend to connect with local nodes, networks will be robust to the spatial cascading effect. We further extend our model to a more general form. The nodes embedded in lattice can be sparse, which means that the existing probability of nodes in the lattice is not always 1. The networks in the extension model are more vulnerable compared to those in the original model.

Cascading failure

Lattice (music)

Spatial network

Interdependent networks

10.1142/s0129183120500552

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Citations (1)