Weigang Wang

ORCID: 0000-0001-5524-2849
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About
Contact & Profiles
Research Areas
  • Indoor and Outdoor Localization Technologies
  • Semantic Web and Ontologies
  • Usability and User Interface Design
  • Service-Oriented Architecture and Web Services
  • Business Process Modeling and Analysis
  • Speech and Audio Processing
  • Sparse and Compressive Sensing Techniques
  • Underwater Vehicles and Communication Systems
  • Advanced Database Systems and Queries
  • Team Dynamics and Performance
  • Remote-Sensing Image Classification
  • Prostate Cancer Diagnosis and Treatment
  • Natural Language Processing Techniques
  • Energy Efficient Wireless Sensor Networks
  • Advanced Neural Network Applications
  • AI in cancer detection
  • Face recognition and analysis
  • Gait Recognition and Analysis
  • Distributed Sensor Networks and Detection Algorithms
  • Personal Information Management and User Behavior
  • Collaboration in agile enterprises
  • Mobile Agent-Based Network Management
  • Face and Expression Recognition
  • Advanced Graph Neural Networks
  • Robotics and Sensor-Based Localization

Zhejiang Gongshang University
2025

Ocean University of China
2024-2025

Nanjing University of Posts and Telecommunications
2016-2024

Shanghai Fire Research Institute
2019-2021

Northeast Petroleum University
2009-2020

Northwest Women's and Children's Hospital
2018

Xi'an Jiaotong University
2018

Nanjing Tech University
2018

Northwestern Polytechnical University
2016

Nanjing University
2011

A pyrolyzed polyacrylonitrile/sulfur nanocomposite (SPAN) was used as a positive electrode material for room temperature K-S battery operated in carbonate electrolyte. SPAN presented high reversible capacity of 270 mA h g-1 (710 gsulfur-1) and excellent rate performance, which demonstrate that it is promising K-ion K-batteries.

10.1039/c7cc09913d article EN Chemical Communications 2018-01-01

A novel study on monitoring and analysis of the debilitating condition patients suffering from neurological disorder is presented. Parkinson's disease characterized by limited motor ability a patient. Freezing gait major nonmotor among aging its evaluation can reduce chances any secondary disorders. In this paper, amplitude phase information radio signals observed for fixed period time are used to differentiate symptoms. The classified using support vector machine, while linear...

10.1109/tap.2018.2878081 article EN IEEE Transactions on Antennas and Propagation 2018-10-25

Medical healthcare is one of the fascinating applications using Internet Things (IoTs). The pervasive smart environment in IoTs has potential to monitor various human activities by deploying devices. In our pilot study, we look at narcolepsy, a disorder which individuals lose ability regulate their sleep-wake cycle. An imbalance brain chemical called orexin makes sleep pattern irregular. This patients suffering from narcolepsy results them experience irrepressible episodes while performing...

10.3390/app8040508 article EN cc-by Applied Sciences 2018-03-27

10.1109/icassp49660.2025.10889677 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

10.1109/icassp49660.2025.10890593 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

Accurately extracting lesions from medical images is a fundamental but challenging problem in image analysis. In recent years, methods based on convolutional neural networks and Transformer have achieved great success the segmentation field. Combining powerful perception of local information by CNNs efficient capture global context crucial for segmentation. However, unique characteristics many lesion tissues often lead to poor performance most previous models failed fully extract effective...

10.1038/s41598-025-93353-2 article EN cc-by-nc-nd Scientific Reports 2025-03-14

Cerebellar dysfunction (CD) is a neurological disorder that involves number of abnormalities affect the movement various parts body such as gait abnormality or tremors in limbs hands feet while reaching out for something. A user-friendly tool can objectively evaluate aforementioned movements CD patients aid clinicians an objective assessment clinical settings. The this paper to develop method quantifies and hand using S-band sensing technique. essentially leverages small wireless devices...

10.1109/jsen.2018.2861906 article EN IEEE Sensors Journal 2018-08-01

In the process of indoor localization, existence non-line sight (NLOS) error will greatly reduce localization accuracy. To impact this error, a 3 dimensional (3D) algorithm named LMR (LLS-Minimum-Re-sidual) is proposed in paper. We first estimate NLOS and use it to correct measurement distances, then calculate target location with linear least squares (LLS) solution. The final nodes can be obtained accurately by mitigation. Our work efficiently both 2D 3D environments. simulation results...

10.23919/jcc.2020.01.005 article EN China Communications 2020-01-01

The automatic and accurate segmentation of the prostate cancer from multi-modal magnetic resonance images is prime importance for disease assessment follow-up treatment plan. However, how to use image features more efficiently still a challenging problem in field medical segmentation. In this paper, we develop cross-modal self-attention distillation network by fully exploiting encoded information intermediate layers different modalities, generated attention maps modalities enable model...

10.1109/jbhi.2021.3127688 article EN IEEE Journal of Biomedical and Health Informatics 2021-11-13

One important facet of current hypertext research involves using knowledge-based techniques to develop and maintain document structures. A semantic net is one such technique. However, most semantic-net-based systems leave the linking consistency individual users. Users without guidance may accidentally introduce structural relational inconsistencies in nets. The inconsistency hinders creation domain information models. leads unstable documents, especially when a composed by computation with...

10.1145/291128.291132 article EN ACM transactions on office information systems 1998-10-01

Prostate cancer is one of the most prevalent cancers among men. Early detection this could effectively increase survival rate patient. In paper, we propose a Bi-attention adversarial network for prostate segmentation automatically. The proposed architecture consists generator and discriminator network. aims to generate predicted mask input image, while further improve performance with learning by discriminating true label mask. For better improving performance, combine two attention...

10.1109/access.2019.2939389 article EN cc-by IEEE Access 2019-01-01

The demand for accurate indoor localization has become more and urgent in location-based services (LBS). Since the traditional is based on a single fingerprint, which susceptible to environmental changes, it hard obtain high accuracy. In order fill this gap, we propose new multiple fingerprints method used environment without extra measurement, can reduce uncertainty caused by fingerprint. are signal Subspace received strength index (RSSI) others, where represents characteristic...

10.1109/access.2019.2922995 article EN cc-by-nc-nd IEEE Access 2019-01-01

As an important branch of Nature Language Processing (NLP), how to extract useful text information and effective long-range associations has always been a bottleneck for classification. With the great effort deep learning researchers, Convolutional Neural Networks (CNNs) have made remarkable achievements in Computer Vision but still controversial NLP tasks. In this paper, we propose novel CNN named Deep Pyramid Temporal Network (DPTCN) short classification, which is mainly consisting...

10.3233/jifs-210970 article EN Journal of Intelligent & Fuzzy Systems 2021-09-07

Hyperspectral image (HIS) classification is a hot topic in remote sensing community and most of the existing methods extract features original data using shallow layer networks such as neural network (NN) support vector machine (SVM). As deep learning recently achieves great success pattern recognition area for its ability feature extraction representations, two i.e. convolutional (DCN) belief (DBN) have been used hyperspectral better results achieved. Differing from those HSI...

10.1109/igarss.2016.7729850 article EN 2016-07-01

With the rise of location-based services and rapidly growing requirements related to their applications, indoor localization based on channel state information–multiple-input multiple-output (CSI-MIMO) has become an important research topic. However, CSI-MIMO some disadvantages, including noise high data dimensions. To overcome above drawbacks, we proposed a novel method CSI-MIMO, named SICD. For SICD, fingerprint was first designed which can reflect time–frequency space–frequency...

10.3390/s21041325 article EN cc-by Sensors 2021-02-13

Article Free Access Share on Flexible coordination with cooperative hypertext Authors: Weigang Wang GMD - German National Research Center for Information Technology, IPSI Integrated Publication and Systems Institute, Dolivostraβe 15, D-64293 Darmstadt, Germany GermanyView Profile , Jörg M. Haake Authors Info & Claims HYPERTEXT '98: Proceedings of the ninth ACM conference Hypertext hypermedia : links, objects, time space---structure in systems: systemsMay 1998Pages...

10.1145/276627.276654 article EN 1998-01-01

The Web has been widely used as a platform for asynchronous collaboration. However, based synchronous groupware are still rare, especially those using standard browser front-end. In this demonstration, system built on GWT and AJAX Push technology will be presented. provides common foundation developing applications that consist of set tools various specific collaborative activities. It not only desktop-application like user experience within browser, but also retains the with link following...

10.1145/1379092.1379150 article EN 2008-06-19

With the increasing demand of location-based services, neural network (NN)-based intelligent indoor localization has attracted great interest due to its high accuracy. However, deep NNs are usually affected by degradation and gradient vanishing. To fill this gap, we propose a novel system, including denoising NN residual (ResNet), predict location moving object channel state information (CSI). In ResNet, prevent overfitting, replace all blocks stochastic blocks. Specially, explore long-range...

10.3390/e23050574 article EN cc-by Entropy 2021-05-07

The Web has been widely used as a platform for asynchronous collaboration. However, based synchronous groupware are still rare, especially those using standard browser front-end. From technical and social protocol co-evolution perspective, this work examines the evolution proposes an AJAX approach to creating that may offer rich user experience. objective of is make creation adoption such easier, so collaboration integral part support on Web. Indirect evidence provided show offers practical...

10.1145/1379157.1379166 article EN 2008-06-19
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