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Computer Science

D-Index
46
Citations
8401
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6862
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919

Overview

Linghe Kong is a researcher affiliated with Shanghai Jiao Tong University in China. Their work primarily lies within the fields of Computer Science and Engineering, with a significant focus on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, and Information Systems.

Their research covers a range of main topics, including:

  • Indoor and Outdoor Localization Technologies
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Energy Efficient Wireless Sensor Networks
  • Speech and Audio Processing
  • IoT and Edge/Fog Computing
  • IoT Networks and Protocols

Linghe Kong has contributed to multiple publication venues, frequently publishing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE/ACM Transactions on Networking
  • IEEE Internet of Things Journal
  • GLOBECOM 2022 - 2022 IEEE Global Communications Conference

Their recent notable papers include:

  • "Edge-computing-driven Internet of Things: A Survey," 2022, ACM Computing Surveys
  • "Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives," 2020, IEEE Internet of Things Journal
  • "Cross Aggregation Transformer for Image Restoration," 2022, arXiv (Cornell University)
  • "Blockchain-Based Mobile Crowd Sensing in Industrial Systems," 2020, IEEE Transactions on Industrial Informatics
  • "Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing," 2022, IEEE Transactions on Mobile Computing

Frequent collaborators with Linghe Kong include Guihai Chen, Jiadi Yu, Yulun Zhang, Yutong Liu, and Junqin Huang.

In addition to journal articles and conference papers, Linghe Kong has contributed to book publications. They have authored works published by Springer Science+Business Media and Springer Nature. Among these are multiple editions of "Knowledge Science, Engineering and Management" released in 2022 and a 2023 publication titled "WiFi signal-based user authentication."

Best Publications

  • Millimeter Wave Communication: A Comprehensive Survey

    Xiong Wang;Linghe Kong;Fanxin Kong;Fudong Qiu

  • Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism

    Junqin Huang;Linghe Kong;Guihai Chen;Min-You Wu

  • CDC : Compressive Data Collection for Wireless Sensor Networks

    Xiao-Yang Liu;Yanmin Zhu;Linghe Kong;Cong Liu

  • Edge-computing-driven Internet of Things: A Survey

    Unknown

  • Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges

    Linghe Kong;Muhammad Khurram Khan;Fan Wu;Guihai Chen

  • Evaluating the On-Demand Mobile Charging in Wireless Sensor Networks

    Liang He;Linghe Kong;Yu Gu;Jianping Pan

  • Data loss and reconstruction in sensor networks

    Linghe Kong;Mingyuan Xia;Xiao-Yang Liu;Min-You Wu

  • Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives

    Kayhan Zrar Ghafoor;Linghe Kong;Sherali Zeadally;Ali Safaa Sadiq

  • An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing

    Jiadi Yu;Li Lu;Yingying Chen;Yanmin Zhu

  • Data-Oriented Mobile Crowdsensing: A Comprehensive Survey

    Yutong Liu;Linghe Kong;Guihai Chen

  • Fine-Grained Abnormal Driving Behaviors Detection and Identification with Smartphones

    Jiadi Yu;Zhongyang Chen;Yanmin Zhu;Yingying Jennifer Chen

  • Data Loss and Reconstruction in Wireless Sensor Networks

    Linghe Kong;Mingyuan Xia;Xiao-Yang Liu;Guangshuo Chen

  • Cross Aggregation Transformer for Image Restoration

    Unknown

  • Joint Admission Control and Resource Allocation in Edge Computing for Internet of Things

    Shichao Li;Ning Zhang;Siyu Lin;Linghe Kong

  • Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities

    Jiangtao Wang;Leye Wang;Yasha Wang;Daqing Zhang

  • BreathListener: Fine-grained Breathing Monitoring in Driving Environments Utilizing Acoustic Signals

    Xiangyu Xu;Jiadi Yu;Yingying Chen;Yanmin Zhu

  • Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing

    Unknown

  • Towards minimum-delay and energy-efficient flooding in low-duty-cycle wireless sensor networks

    Long Cheng;Jianwei Niu;Chengwen Luo;Lei Shu;Lei Shu

  • Blockchain-Based Mobile Crowd Sensing in Industrial Systems

    Junqin Huang;Linghe Kong;Hong-Ning Dai;Weiping Ding

  • Lip Reading-Based User Authentication Through Acoustic Sensing on Smartphones

    Li Lu;Jiadi Yu;Yingying Chen;Hongbo Liu

  • mLoRa: A Multi-Packet Reception Protocol in LoRa networks

    Xiong Wang;Linghe Kong;Liang He;Guihai Chen

  • Surface Coverage in Sensor Networks

    Linghe Kong;Mingchen Zhao;Xiao-Yang Liu;Jialiang Lu

  • Autonomous Relay for Millimeter-Wave Wireless Communications

    Linghe Kong;Linsheng Ye;Fan Wu;Meixia Tao

Frequent Co-Authors

Guihai Chen
Guihai Chen Nanjing University
Min-You Wu
Min-You Wu Shanghai Jiao Tong University
Fan Wu
Fan Wu Shanghai Jiao Tong University
Xue Liu
Xue Liu McGill University
Yu Gu
Yu Gu Visa (United States)
Xiaofeng Gao
Xiaofeng Gao Shanghai Jiao Tong University
Jiadi Yu
Jiadi Yu Shanghai Jiao Tong University
Tian He
Tian He University of Minnesota
Muhammad Khurram Khan
Muhammad Khurram Khan King Saud University
Yanmin Zhu
Yanmin Zhu Shanghai Jiao Tong University

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