149 Result(s)
within
Wei WANG
English
Information Systems and Communication Service
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Article
Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers
Artificial intelligence technology is widely used in the field of wireless sensor networks (WSN). Due to its inexplicability, the interference factors in the process of WSN object localization cannot be effect...
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Chapter and Conference Paper
Removal of EOG Artifact in Electroencephalography with EEMD-ICA: A Semi-simulation Study on Identification of Artifactual Components
Purpose: The electroencephalography (EEG) signals recorded in clinical settings are usually corrupted by electrooculography (EOG) artifacts. EEMD-ICA is a commonly used method for removing EOG artifacts. This stu...
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Chapter and Conference Paper
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusionRank, a novel approach to z...
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Article
Low power consumption reduced state and transition MLSE in optical interconnects
In this study, a low-power cost MLSE scheme called RST-MLSE is proposed and demonstrated in a seriously bandwidth-limited optical interconnect system. The BER performance of RST-MLSE is compared with various M...
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Article
ASPPR: active single-image piecewise planar 3D reconstruction based on geometric priors
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Article
Toward ubiquitous and intelligent 6G networks: from architecture to technology
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Article
SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G
The sixth-generation (6G) wireless network will support ubiquitous connectivity and diversified scenarios to satisfy the requirements of various emerging applications. Full spectrum is a key enabler for 6G to ...
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Article
KRL_Match: knowledge graph objects matching for knowledge representation learning
The way of obtaining the embeddings of the knowledge graph objects through modeling with binary classification method from the level of triple structure is coarser in granularity for the existing knowledge rep...
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Article
Abductive subconcept learning
Bridging neural network learning and symbolic reasoning is crucial for strong AI. Few pioneering studies have made some progress on logical reasoning tasks that require partitioned inputs of instances (e.g., s...
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Chapter and Conference Paper
FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution
Federated Learning (FL) is a well-known framework for distributed machine learning that enables mobile phones and IoT devices to build a shared machine learning model via only transmitting model parameters to ...
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Article
LPW: an efficient data-aware cache replacement strategy for Apache Spark
Caching is one of the most important techniques for the popular distributed big data processing framework Spark. For this big data parallel computing framework, which is designed to support various application...
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Article
Stability analysis of a class of systems with periodically varying delay via looped-functional-based Lyapunov functional
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Article
A Ka-band calibratable phased-array front-end chip with high element-consistency
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Article
Origami-inspired frequency selective surface with large bandwidth modulation range based on electromagnetically induced transparency effect
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Article
Attributed community search considering community focusing and latent relationship
Attributed community search is to find a subgraph with some specific attributes online in terms of given vertices. It can help us retrieve information on a subgraph rather than the whole graph, thus enable dow...
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Article
Distributed convex optimization for nonlinear multi-agent systems disturbed by a second-order stationary process over a digraph
In this paper, we investigate the distributed convex optimization problem for a class of nonlinear multi-agent systems disturbed by random noise over a directed graph. The target problem involves designing a c...
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Chapter and Conference Paper
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning
With the increasing amount of data, data privacy has drawn great concern in machine learning among the public. Federated Learning, which is a new kind of distributed learning framework, enables data providers ...
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Chapter and Conference Paper
Concept Drift Detection Based on Restricted Boltzmann Machine in Multi-class Classification System
With the development of information technology, more and more data are generated from social life. Concept drift detection in multi-class classification system has gradually become a research hotspot in the fi...
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Chapter and Conference Paper
Block-Chain Abnormal Transaction Detection Method Based on Dynamic Graph Representation
The advent of cryptocurrency introduced by Bitcoin ignited an explosion of technological and entrepreneurial interest in payment processing. The user scale of Bitcoin is dynamic, and the participating identiti...
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Chapter and Conference Paper
A New Augmented Method for Processing Video Datasets Based on Deep Neural Network
Large datasets are required for deep learning to achieve good performance. However, there is a lack of sufficient training datasets in many research fields, which may become a shortcoming of computer vision ap...
