Long Hu

ORCID: 0000-0003-1846-683X
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Caching and Content Delivery
  • Privacy-Preserving Technologies in Data
  • Wireless Body Area Networks
  • Advanced Image Fusion Techniques
  • Human Mobility and Location-Based Analysis
  • Vehicular Ad Hoc Networks (VANETs)
  • Opportunistic and Delay-Tolerant Networks
  • Context-Aware Activity Recognition Systems
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • 3D Surveying and Cultural Heritage
  • Blockchain Technology Applications and Security
  • 3D Shape Modeling and Analysis
  • Image Processing Techniques and Applications
  • Air Quality Monitoring and Forecasting
  • Air Quality and Health Impacts
  • Emotion and Mood Recognition
  • Mobile Crowdsensing and Crowdsourcing
  • Remote Sensing and LiDAR Applications
  • Advanced Image Processing Techniques

Huazhong University of Science and Technology
2015-2024

With the increasingly serious problem of aging population, creating an efficient and real-time health management feedback system based on healthcare Internet Things (HealthIoT) is urgent need. Specifically, wearable technology robotics can enable a user to collect required human signals in comfortable way. HealthIoT basic infrastructure for realizing surveillance, should be flexible support multiple application demands facilitate infrastructure. Therefore, enlightened by software defined...

10.1109/mwc.2015.7368826 article EN IEEE Wireless Communications 2015-12-01

Location-based services, especially for vehicular localization, are an indispensable component of most technologies and applications related to the networks. However, because randomness vehicle movement complexity a driving environment, attempts develop effective localization solution face certain difficulties. In this paper, overlapping hierarchical social clustering model (OHSC) is first designed classify vehicles into different clusters by exploring relationship between them. By using...

10.1109/tii.2016.2641467 article EN IEEE Transactions on Industrial Informatics 2016-12-19

10.1109/cvpr52733.2024.00571 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024-06-16

Immersive service caching, based on the intelligent edge cloud, can meet delay-sensitive requirements. Although numerous caching solutions for clouds have been designed, they not well explored. Moreover, to best of our knowledge, there is no work consider immersive scheme under supply renewable energy. In this article, we investigate problem energy minimize latency while making full use Specifically, formulate and harvesting problem, which considers dynamic energy, unknown requests, limited...

10.1145/3643818 article EN ACM Transactions on Multimedia Computing Communications and Applications 2024-01-31

The development of mobile communication technology, hardware, distributed computing, and artificial intelligence (AI) technology has promoted the application edge computing in field heterogeneous Internet Things (IoT). In order to overcome defects traditional cloud model era big data. this article, we first propose a new AIenabled smart with IoT architecture which combines caching, communication. Then, Smart-Edge-CoCaCo algorithm. To minimize total delay confirm computation offloading...

10.48550/arxiv.1901.02126 preprint EN other-oa arXiv (Cornell University) 2019-01-01

The ever-accelerating process of globalization enables more than half the population to live in cities. Thus, air quality cities exerts critical influence on health status and urban residents. In this article, based data collected through meteorological sites, mobile crowdsourcing, IoT sensing, along with users' body signals, we propose an healthcare big system named UH-BigDataSys. first introduce a method integrating multi-source for preparation artificial-intelligence-based smart services....

10.48550/arxiv.1810.10723 preprint EN other-oa arXiv (Cornell University) 2018-01-01
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