Ning Wang

ORCID: 0000-0003-4646-8808
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About
Contact & Profiles
Research Areas
  • Virtual Reality Applications and Impacts
  • 3D Surveying and Cultural Heritage
  • Recycling and Waste Management Techniques
  • Advanced Neural Network Applications
  • Recommender Systems and Techniques
  • Industrial Vision Systems and Defect Detection
  • Infrastructure Maintenance and Monitoring
  • Semantic Web and Ontologies
  • Brain Tumor Detection and Classification
  • Belt Conveyor Systems Engineering
  • Machine Learning and ELM
  • Vehicle License Plate Recognition
  • Wireless Body Area Networks
  • Advanced Graph Neural Networks
  • Data Management and Algorithms
  • Scheduling and Timetabling Solutions
  • Advanced Vision and Imaging
  • Advanced Database Systems and Queries
  • Topic Modeling
  • Augmented Reality Applications
  • Mineral Processing and Grinding
  • Transportation and Mobility Innovations
  • Vehicle Routing Optimization Methods

Southeast University
2002-2025

Shanghai University
2024

Jiangsu University of Science and Technology
2023-2024

Nanjing University of Aeronautics and Astronautics
2023

Xi'an Jiaotong University
2021

Intangible cultural heritage is a people-centered living heritage. Preservation, promotion, and talent cultivation are important aspects of intangible protection also crucial guarantees for sustainable development. However, traditional video recordings lack three-dimensional spatial information, the high cost digital scanning reconstruction still leaves no convenient, efficient, accurate, realistic, low-cost solution preservation dissemination projects. Here we introduce binocular 180-degree...

10.3390/su16135281 article EN Sustainability 2024-06-21

Abstract The design and implementation of virtual museums have evolved over decades, broadening the scope traditional museum exhibitions serving as an effective complement to physical museums. However, visual effects consistently fallen short replicating authentic exhibition experience cannot substitute for In this paper, we report a dual-mode mixed visualization system combining computational photography binocular stereo vision techniques, introduce innovative Sanxingdui bronzes. This...

10.1186/s40494-024-01241-1 article EN cc-by Heritage Science 2024-05-06

Issues on data integration have become the focus of database research for more than a decade. Now sources are increasingly diversified, such as traditional databases, file systems, WWW, multimedia databases etc. various platforms. Today it is great challenge to integrate so many kinds distributed sources. Based an investigation existing approaches, we believe that integrating by employing object technology promising approach. We present system, named Versatile, which scalable CORBA-based...

10.1109/icips.1997.669304 article EN 2002-11-22

Online Event-based social networks (EBSNs), such as Meetup and Whova, which provide platforms for users to publish, arrange participate in events, have become increasingly popular. A major challenge managing EBSNs is generate the most satisfactory event arrangement, i.e. events are scheduled at reasonable time attract maximum number of participants. Existing approaches usually focus on assigning a set organized by same group intervals, but ignore competitive relationships among different...

10.1109/tkde.2021.3109838 article EN IEEE Transactions on Knowledge and Data Engineering 2021-01-01

To ensure the safe and reliable operation of substation, automatic detection substation defects is key smart grid. Lightweight model used in defect because its small amount parameters calculation. However, traditional lightweight has problem low accuracy, which often leads to recognition success rate. In this paper, a method feature maps training proposed. Because map complex network provides high-level knowledge, takes as another target. The actual image taken experimental data set. results...

10.1109/rcar52367.2021.9517406 article EN 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) 2021-07-15

Session-based recommendation (SBR) aims to predict the next item that anonymous users will interact with based on their short behavior sequence. However, most of current approaches towards SBR only focus modeling users' interest preferences a series items, ignoring extra attributes, i.e., brand attribute. This paper proposes novel approach, called Attribute Enhanced Graph Attention Networks for Recommendation (AGSR), using attribute better model user preferences. Specifically, (i) AGSR...

10.1109/cbd63341.2023.00055 article EN 2023-12-18
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