World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9013
World Ranking
7524
National Ranking
989

Overview

Sanglu Lu is affiliated with Nanjing University in China and has a research focus predominantly in Computer Science and Engineering. Their work encompasses multiple subfields including Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, and Signal Processing.

The scientist's primary themes of research address topics such as IoT and Edge/Fog Computing, Indoor and Outdoor Localization Technologies, Caching and Content Delivery, Image and Video Quality Assessment, Advanced Graph Neural Networks, Robotics and Sensor-Based Localization, and Visual Attention and Saliency Detection.

Recent publications by Sanglu Lu cover diverse areas related to mobile and edge technologies, distributed systems, and video analytics. Notable papers include:

  • "TouchID", 2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "DeepSlicing: Collaborative and Adaptive CNN Inference With Low Latency", 2021, IEEE Transactions on Parallel and Distributed Systems
  • "Adaptive Configuration Selection and Bandwidth Allocation for Edge-Based Video Analytics", 2021, IEEE/ACM Transactions on Networking
  • "Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing", 2021, IEEE Transactions on Parallel and Distributed Systems
  • "A Systematic Review of Human Activity Recognition Based on Mobile Devices: Overview, Progress and Trends", 2024, IEEE Communications Surveys & Tutorials

Their frequent co-authors include Wenzhong Li, Lei Xie, Sheng Zhang, Zhuzhong Qian, and Yanling Bu, reflecting a collaborative approach in their research projects.

Publication venues where Sanglu Lu's work commonly appears comprise:

  • IEEE Transactions on Mobile Computing
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Computer Networks
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE/ACM Transactions on Networking

Sanglu Lu's contributions span nearly two hundred publications in Computer Science and over fifty in Engineering, illustrating engagement with both theoretical and applied aspects in these fields. The scientist's output includes a strong emphasis on networked systems, mobile computing environments, and advanced machine learning techniques applied to vision and sensor data.

Best Publications

  • Understanding and Modeling of WiFi Signal Based Human Activity Recognition

    Wei Wang;Alex X. Liu;Muhammad Shahzad;Kang Ling

  • Device-Free Human Activity Recognition Using Commercial WiFi Devices

    Wei Wang;Alex X. Liu;Muhammad Shahzad;Kang Ling

  • Energy efficient virtual machine placement algorithm with balanced and improved resource utilization in a data center

    Xin Li;Zhuzhong Qian;Sanglu Lu;Jie Wu

  • AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition

    HaoJie Ma;Wenzhong Li;Xiao Zhang;Songcheng Gao

  • Counting RFID Tags Efficiently and Anonymously

    Hao Han;Bo Sheng;Chiu C. Tan;Qun Li

  • A Timing-Based Scheme for Rogue AP Detection

    Hao Han;Bo Sheng;C. C. Tan;Qun Li

  • Let's Stay Together: Towards Traffic Aware Virtual Machine Placement in Data Centers

    Xin Li;Jie Wu;Shaojie Tang;Sanglu Lu

  • Collaborative Mobile Charging

    Sheng Zhang;Jie Wu;Sanglu Lu

  • Collaborative mobile charging for sensor networks

    Sheng Zhang;Jie Wu;Sanglu Lu

  • On Maximizing the Lifetime of Wireless Sensor Networks Using Virtual Backbone Scheduling

    Yaxiong Zhao;Jie Wu;Feng Li;Sanglu Lu

  • Virtual Network Embedding with Opportunistic Resource Sharing

    Sheng Zhang;Zhuzhong Qian;Jie Wu;Sanglu Lu

  • Multi - Touch in the Air: Device-Free Finger Tracking and Gesture Recognition via COTS RFID

    Chuyu Wang;Jian Liu;Yingying Chen;Hongbo Liu

  • Efficient Resource Allocation for On-Demand Mobile-Edge Cloud Computing

    Xu Chen;Wenzhong Li;Sanglu Lu;Zhi Zhou

  • An Opportunistic Resource Sharing and Topology-Aware mapping framework for virtual networks

    Sheng Zhang;Zhuzhong Qian;Jie Wu;Sanglu Lu

  • SmartCC: A Reinforcement Learning Approach for Multipath TCP Congestion Control in Heterogeneous Networks

    Wenzhong Li;Han Zhang;Shaohua Gao;Chaojing Xue

  • TouchID: User Authentication on Mobile Devices via Inertial-Touch Gesture Analysis

    Xinchen Zhang;Yafeng Yin;Lei Xie;Hao Zhang

  • P 3 : Joint optimization of charger placement and power allocation for wireless power transfer

    Sheng Zhang;Zhuzhong Qian;Fanyu Kong;Jie Wu

  • A Measurement Based Rogue AP Detection Scheme

    H. Han;B. Sheng;C. C. Tan;Q. Li

  • MoodExplorer: Towards Compound Emotion Detection via Smartphone Sensing

    Xiao Zhang;Wenzhong Li;Xu Chen;Sanglu Lu

  • DeepSlicing: Collaborative and Adaptive CNN Inference With Low Latency

    Shuai Zhang;Sheng Zhang;Zhuzhong Qian;Jie Wu

  • Managing RFID Data: Challenges, Opportunities and Solutions

    Lei Xie;Yafeng Yin;Athanasios V. Vasilakos;Sanglu Lu

  • Proceedings - IEEE INFOCOM

    Xin Li;Jie Wu;Shaojie Tang;Sanglu Lu

Frequent Co-Authors

Jie Wu
Jie Wu Temple University
Song Guo
Song Guo Hong Kong University of Science and Technology
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Qun Li
Qun Li William & Mary
Xiaoming Fu
Xiaoming Fu University of Göttingen
Xu Chen
Xu Chen Sun Yat-sen University
Ilsun You
Ilsun You Kookmin University
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Mianxiong Dong
Mianxiong Dong Muroran Institute of Technology
Weihua Zhuang
Weihua Zhuang University of Waterloo

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