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- research-articleAugust 2024
ConfMask: Enabling Privacy-Preserving Configuration Sharing via Anonymization
ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 ConferencePages 465–483https://doi.org/10.1145/3651890.3672217Real-world network configurations play a critical role in network management and research tasks. While valuable, data holders often hesitate to share them due to business and privacy concerns. Existing methods are deficient in concealing the implicit ...
- research-articleJuly 2024
Minimum residual NDSS iteration method for a class of complex symmetric linear systems
Journal of Computational and Applied Mathematics (JCAM), Volume 449, Issue Chttps://doi.org/10.1016/j.cam.2024.115923AbstractThe double-step scale splitting and the minimum residual modified HSS iteration method are effective methods for a class of large sparse complex symmetric systems of linear equations. In this paper, we give an efficient method to solve the linear ...
- research-articleJuly 2024
NSST Domain Statistical Watermark Decoder Using Local Low-Order PZMs Magnitudes and Student’s-t Mixture Model
Circuits, Systems, and Signal Processing (CSSP), Volume 43, Issue 10Pages 6661–6688https://doi.org/10.1007/s00034-024-02779-yAbstractThe primary evaluation criteria for image watermarking methods encompass imperceptibility, robustness, and capacity. However, there exists a mutual dependence and constraint relationship among these three factors, making it of paramount importance ...
- research-articleMay 2024
A New Artificial Neural Network-Based Calibration Mechanism for ADCs: A Time-Interleaved ADC Case Study
- Zhifei Lu,
- Bowen Zhang,
- Xizhu Peng,
- Hang Liu,
- Xiaolei Ye,
- Yuzhuo Li,
- Yutao Peng,
- Yao Xiao,
- Wei Zhang,
- He Tang
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (ITVL), Volume 32, Issue 7Pages 1184–1194https://doi.org/10.1109/TVLSI.2024.3390220This article presents a new artificial neural network (ANN)-based calibration mechanism for analog-to-digital converters (ADCs). The proposed mechanism applies ANN to realize the bijective vector recovery mapping (VRM) for nonlinearity calibration and ...
- research-articleJuly 2024
Learning dual disentangled representation with self-supervision for temporal knowledge graph reasoning
Information Processing and Management: an International Journal (IPRM), Volume 61, Issue 3https://doi.org/10.1016/j.ipm.2023.103618AbstractTemporal knowledge graph (TKG) reasoning aims to infer the missing links from the massive historical facts. One of the big issues is that how to model the entity evolution from both the local and especially global perspectives. The primary ...
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- research-articleJune 2024
A new framework for delineating farmland consolidation priority areas for promoting agricultural mechanization in hilly and mountainous areas
- Lesong Zhao,
- Guangsheng Liu,
- Zongliang Lu,
- Yao Xiao,
- Jiaqi Nie,
- Liying Yang,
- Zhigang Zhou,
- Lizhen Chen,
- Hongmei Wang
Computers and Electronics in Agriculture (COEA), Volume 218, Issue Chttps://doi.org/10.1016/j.compag.2024.108681Highlights- A new framework is proposed for delineating farmland consolidation priority areas.
- The approach takes the consideration of the applicability of agricultural machinery.
- The model proved effective in farmland consolidation works.
Delineating priority areas for farmland consolidation is an important way to realize the optimal allocation of limited resources and ensure maximum utility. Traditional approaches lack consideration of the applicability of agricultural machinery, ...
- articleNovember 2023
The Impact of Dissonant Tie on Innovation Performance of Digital Transformation: Innovation From Difficult Working Individuals
Journal of Global Information Management (JGIM), Volume 31, Issue 1Pages 1–21https://doi.org/10.4018/JGIM.333613The acquisition of innovation performance through social network relationship resources is a common behavior pattern of organizational members. Recent social network research suggests that negative ties may also have a positive impact on organizational ...
- research-articleOctober 2023
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 4923–4929https://doi.org/10.1145/3583780.3615500In e-commerce search, relevance between query and documents is an essential requirement for satisfying user experience. Different from traditional e-commerce platforms that offer products, users search on life service platforms such as Meituan mainly for ...
- research-articleOctober 2023
Modified Newton-PBS method for solving a class of complex symmetric nonlinear systems
Numerical Algorithms (SPNA), Volume 96, Issue 1Pages 333–368https://doi.org/10.1007/s11075-023-01649-zAbstractThe parameterized block splitting (PBS) is a convergent and efficient iterative method to solve the large complex symmetric linear systems. In this paper, by using PBS iterative technique, the Newton equation is approximately solved, then we ...
- ArticleAugust 2023
Music Emotion Recognition Using Multi-head Self-attention-Based Models
Advanced Intelligent Computing Technology and ApplicationsPages 101–114https://doi.org/10.1007/978-981-99-4752-2_9AbstractMusic Emotion Recognition (MER) has been a major challenge in Music Information Retrieval (MIR) and is essential in many fields, such as music psychotherapy, individualized instruction, and music recommendation. Some existing approaches aim to ...
- research-articleJuly 2023
Sequential Edge Detection Using Joint Hierarchical Bayesian Learning
Journal of Scientific Computing (JSCI), Volume 96, Issue 3https://doi.org/10.1007/s10915-023-02297-0AbstractThis paper introduces a new sparse Bayesian learning (SBL) algorithm that jointly recovers a temporal sequence of edge maps from noisy and under-sampled Fourier data. The new method is cast in a Bayesian framework and uses a prior that ...
- research-articleMay 2023
Sequential Image Recovery Using Joint Hierarchical Bayesian Learning
Journal of Scientific Computing (JSCI), Volume 96, Issue 1https://doi.org/10.1007/s10915-023-02234-1AbstractRecovering temporal image sequences (videos) based on indirect, noisy, or incomplete data is an essential yet challenging task. We specifically consider the case where each data set is missing vital information, which prevents the accurate ...
- research-articleApril 2023
Maximizing the Spread of Effective Information in Social Networks
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 35, Issue 4Pages 4062–4076https://doi.org/10.1109/TKDE.2021.3138783Influence maximization through social networks has aroused tremendous interests nowadays. However, people’s various expressions or feelings about a same idea often cause ambiguity via word of mouth. Consequently, the problem of how to maximize the ...
- research-articleApril 2023
Blockchain-Empowered Privacy-Preserving Digital Object Trading in the Metaverse
The metaverse is an advanced digital world where users can have interactive and immersive experiences. Users enter the metaverse through digital objects created by extended reality and digital twin technologies. The ownership issue regarding these digital ...
- research-articleDecember 2022
Adaptive random down-sampling data augmentation and area attention pooling for low resolution face recognition
Expert Systems with Applications: An International Journal (EXWA), Volume 209, Issue Chttps://doi.org/10.1016/j.eswa.2022.118275AbstractState-of-the-art face recognition method have achieved satisfactory performance on various face datasets, but limited to high-resolution (HR) faces. In real scenes, with affects from camera quality or distance etc., low quality face ...
- research-articleDecember 2022
Modified Newton-PSBTS method for solving complex nonlinear systems with symmetric Jacobian matrices
Applied Numerical Mathematics (APNM), Volume 182, Issue CPages 308–329https://doi.org/10.1016/j.apnum.2022.08.004AbstractThe main purpose of this paper is to give an effective iterative method for solving complex nonlinear systems with symmetric Jacobian matrices called the modified Newton preconditioned symmetric block triangular splitting (MN-PSBTS) ...
- ArticleOctober 2022
Contributions of Shape, Texture, and Color in Visual Recognition
AbstractWe investigate the contributions of three important features of the human visual system (HVS)—shape, texture, and color—to object classification. We build a humanoid vision engine (HVE) that explicitly and separately computes shape, texture, and ...
- research-articleOctober 2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 2974–2983https://doi.org/10.1145/3511808.3557082Rich user behavior data has been proven to be of great value for Click-Through Rate (CTR) prediction applications, especially in industrial recommender, search, or advertising systems. However, it's non-trivial for real-world systems to make full use of ...
- research-articleSeptember 2022
Visual tracking based on depth cross-correlation and feature alignment
Journal of Signal Processing Systems (JSPS), Volume 95, Issue 1Pages 37–47https://doi.org/10.1007/s11265-022-01791-2AbstractVisual tracking technology based on the Siamese network have enabled excellent performance on many tracking datasets. However, these trackers cannot provide desirable results in unconstrained environments, such as fast motion and extensive scale ...