World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
15163
World Ranking
4725
National Ranking
2196

Research.com Recognitions

  • 2019 - ACM Fellow For contributions to trustworthy distributed computing and to systems research and education in China
  • 2019 - IEEE Fellow For contributions to trusted distributed computing

Overview

Lidong Zhou is a researcher affiliated with Microsoft in the United States. The primary area of research is situated within Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology, Biomedical Engineering, Plant Science, Materials Chemistry, and Analytical Chemistry.

The scientist's published work covers main topics such as advanced biosensing and bioanalysis techniques, biosensors and analytical detection, mycotoxins in agriculture and food, carbon and quantum dots applications, analytical chemistry methods development, electrochemical sensors and biosensors, and electrochemical analysis and applications.

Frequent publication venues include:

  • arXiv (Cornell University)
  • Food Chemistry
  • SSRN Electronic Journal
  • Microchemical Journal
  • Food Chemistry X

Lidong Zhou has collaborated extensively with several researchers, including:

  • Weijun Kong
  • Xiaofang Liao
  • Linchun Shi
  • Boyu Jia
  • Nan Long

Recent scientific publications demonstrate a focus on biosensors and pesticide detection, food safety, and code understanding through machine learning approaches. Notable recent papers include:

  • "CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation," 2021, arXiv (Cornell University)
  • "Recent progress in immunosensors for pesticides," 2020, Biosensors and Bioelectronics
  • "Molecularly imprinted polymer-based optical sensors for pesticides in foods: Recent advances and future trends," 2021, Trends in Food Science & Technology
  • "Recent advances in synthesis and modification of carbon dots for optical sensing of pesticides," 2021, Journal of Hazardous Materials
  • "Aptasensors for mycotoxins in foods: Recent advances and future trends," 2021, Comprehensive Reviews in Food Science and Food Safety

The research contributions extend across various domains associated with sensor technology, food safety, and analytical chemistry.

Awards include the IEEE Fellow distinction received in 2019 for contributions to trusted distributed computing and the ACM Fellow recognition in the same year for contributions to trustworthy distributed computing and systems research and education in China.

Best Publications

  • Securing ad hoc networks

    Lidong Zhou;Z.J. Haas

  • A multi-radio unification protocol for IEEE 802.11 wireless networks

    A. Adya;P. Bahl;J. Padhye;A. Wolman

  • Vigilante: end-to-end containment of internet worms

    Manuel Costa;Jon Crowcroft;Miguel Castro;Antony Rowstron

  • COCA: A secure distributed online certification authority

    Lidong Zhou;Fred B. Schneider;Robbert Van Renesse

  • Apollo: scalable and coordinated scheduling for cloud-scale computing

    Eric Boutin;Jaliya Ekanayake;Wei Lin;Bing Shi

  • COCA: A Secure Distributed On-line Certification Authority

    Lidong Zhou;Fred B. Schneider;Robbert Van Renesse

  • Kineograph: taking the pulse of a fast-changing and connected world

    Raymond Cheng;Ji Hong;Aapo Kyrola;Youshan Miao

  • MODIST: transparent model checking of unmodified distributed systems

    Junfeng Yang;Tisheng Chen;Ming Wu;Zhilei Xu

  • Boxwood: abstractions as the foundation for storage infrastructure

    John MacCormick;Nick Murphy;Marc Najork;Chandramohan A. Thekkath

  • Gandiva: introspective cluster scheduling for deep learning

    Wencong Xiao;Romil Bhardwaj;Ramachandran Ramjee;Muthian Sivathanu

  • TimeStream: reliable stream computation in the cloud

    Zhengping Qian;Yong He;Chunzhi Su;Zhuojie Wu

  • COCA: a secure distributed online certification authority

    Lidong Zhou;F.B. Schneider;R. Van Renesse

  • Distributed systems meet economics: pricing in the cloud

    Hongyi Wang;Qingfeng Jing;Rishan Chen;Bingsheng He

  • Chronos: a graph engine for temporal graph analysis

    Wentao Han;Youshan Miao;Kaiwei Li;Ming Wu

  • Vertical paxos and primary-backup replication

    Leslie Lamport;Dahlia Malkhi;Lidong Zhou

  • Bouncer: securing software by blocking bad input

    Manuel Costa;Miguel Castro;Lidong Zhou;Lintao Zhang

  • A first look at peer-to-peer worms: threats and defenses

    Lidong Zhou;Lintao Zhang;Frank McSherry;Nicole Immorlica

  • Transactional flash

    Vijayan Prabhakaran;Thomas L. Rodeheffer;Lidong Zhou

  • APSS: proactive secret sharing in asynchronous systems

    Lidong Zhou;Fred B. Schneider;Robbert Van Renesse

  • Performing a deletion of a node in a tree data storage structure

    Lidong Zhou;Chandramohan A. Thekkath

  • NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

    Lingxiao Ma;Zhi Yang;Youshan Miao;Jilong Xue

Frequent Co-Authors

Dahlia Malkhi
Dahlia Malkhi Diem Association
Chandramohan A. Thekkath
Chandramohan A. Thekkath Microsoft (United States)
Fred B. Schneider
Fred B. Schneider Cornell University
Lili Qiu
Lili Qiu The University of Texas at Austin
Jitendra Padhye
Jitendra Padhye Microsoft (United States)
Atul Adya
Atul Adya Google (United States)
Leslie Lamport
Leslie Lamport Microsoft (United States)
Junfeng Yang
Junfeng Yang Columbia University
Jacob R. Lorch
Jacob R. Lorch Microsoft (United States)
Miguel Castro
Miguel Castro Microsoft (United States)

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