Search Results - "Tan, Weijie"

An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing by Li, Zhen, Peng, Changgen, Tan, Weijie, Li, Liangrong

“…With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in…”
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An Effective Chaos-Based Image Encryption Scheme Using Imitating Jigsaw Method by Li, Zhen, Peng, Changgen, Tan, Weijie, Li, Liangrong

“…In this paper, an efficient chaos-based image encryption scheme is proposed, which uses the imitating jigsaw method containing revolving and shifting…”
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A Novel Chaos-Based Color Image Encryption Scheme Using Bit-Level Permutation by Li, Zhen, Peng, Changgen, Tan, Weijie, Li, Liangrong

“…To ensure the security of digital images during transmission and storage, an efficient and secure chaos-based color image encryption scheme using bit-level…”
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Federated Learning Backdoor Attack Based on Frequency Domain Injection by Liu, Jiawang, Peng, Changgen, Tan, Weijie, Shi, Chenghui

“…Federated learning (FL) is a distributed machine learning framework that enables scattered participants to collaboratively train machine learning models…”
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Secure Ring Signature Scheme for Privacy-Preserving Blockchain by Wang, Lin, Peng, Changgen, Tan, Weijie

“…Blockchain integrates peer-to-peer networks, distributed consensus, smart contracts, cryptography, etc. It has the unique advantages of weak centralization,…”
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A Multi-Modal Fusion Method Based on Higher-Order Orthogonal Iteration Decomposition by Liu, Fen, Chen, Jianfeng, Tan, Weijie, Cai, Chang

“…Multi-modal fusion can achieve better predictions through the amalgamation of information from different modalities. To improve the performance of accuracy, a…”
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A Novel Chaos-Based Image Encryption Scheme by Using Randomly DNA Encode and Plaintext Related Permutation by Li, Zhen, Peng, Changgen, Tan, Weijie, Li, Liangrong

“…To ensure the security and privacy of digital image when its transmitting online or storing in the cloud, we proposed a novel chaos based image encryption…”
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Wasserstein Distance-Based Deep Leakage from Gradients by Wang, Zifan, Peng, Changgen, He, Xing, Tan, Weijie

“…Federated learning protects the privacy information in the data set by sharing the average gradient. However, "Deep Leakage from Gradient" (DLG) algorithm as a…”
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Image Adversarial Example Generation Method Based on Adaptive Parameter Adjustable Differential Evolution by Lin, Zhiyi, Peng, Changgen, Tan, Weijie, He, Xing

“…Adversarial example generation techniques for neural network models have exploded in recent years. In the adversarial attack scheme for image recognition…”
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QuantifyPolarity, a new tool-kit for measuring planar polarized protein distributions and cell properties in developing tissues by Tan, Su Ee, Tan, Weijie, Fisher, Katherine H., Strutt, David

“…ABSTRACT The coordination of cells or structures within the plane of a tissue is known as planar polarization. It is often governed by the asymmetric…”
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Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer by Tang, Haomin, Liu, Shu, Tan, Weijie, Fu, Lingling, Yan, Ming, Feng, Hongchao

“…Maxillary expansion is an important treatment method for maxillary transverse hypoplasia. Different methods of maxillary expansion should be carried out…”
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Stable and Fast Deep Mutual Information Maximization Based on Wasserstein Distance by He, Xing, Peng, Changgen, Wang, Lin, Tan, Weijie, Wang, Zifan

“…Deep learning is one of the most exciting and promising techniques in the field of artificial intelligence (AI), which drives AI applications to be more…”
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From Memristor-Modeled Jerk System to the Nonlinear Systems with Memristor by Wu, Xianming, He, Shaobo, Tan, Weijie, Wang, Huihai

“…Based on the proposed generalized memristor, a new jerk system is proposed. The complex dynamics of the system are investigated by means of bifurcation…”
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Low complexity sparse beamspace DOA estimation via single measurement vectors for uniform circular array by Zhao, Di, Tan, Weijie, Deng, Zhongliang, Li, Gang

“…In this paper, we present a low complexity sparse beamspace direction-of-arrival (DOA) estimation method for uniform circular array (UCA). In the proposed…”
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Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks by Zhou, Rongyan, Chen, Jianfeng, Tan, Weijie, Cai, Chang

“…This paper investigates a sensor selection scheme for optimal target localization with three-dimensional (3-D) Angle of Arrival (AOA) estimation in Underwater…”
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Optimal 3D Angle of Arrival Sensor Placement with Gaussian Priors by Zhou, Rongyan, Chen, Jianfeng, Tan, Weijie, Yan, Qingli, Cai, Chang

“…Sensor placement is an important factor that may significantly affect the localization performance of a sensor network. This paper investigates the sensor…”
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Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization by Tan, Weijie, Feng, Xi’an

“…In this paper, we address the direction finding problem in the background of unknown nonuniform noise with nested array. A novel gridless direction finding…”
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Low distortion reversible database watermarking based on hybrid intelligent algorithm by Cai, Chuanda, Peng, Changgen, Niu, Jin, Tan, Weijie, Tang, Hanlin

“…In many fields, such as medicine and the computer industry, databases are vital in the process of information sharing. However, databases face the risk of…”
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Analysis of the Potential Contributors to Common Mode Error in Chuandian Region of China by Tan, Weijie, Chen, Junping, Dong, Danan, Qu, Weijing, Xu, Xueqing

“…Common mode error (CME) in Chuandian region of China is derived from 6-year continuous GPS time series and is identified by principal component analysis (PCA)…”
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Singular spectrum analysis for the time-variable seasonal signals from GPS in Yunnan Province by Weijie Tan, Junping Chen, Yize Zhang, Bin Wang, Songyun Wang

“…Studying the seasonal deformation in GPS time series is important to interpreting geophysical contributors and identifying unmodeled and mismodeled seasonal…”
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