World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
50
Citations
12057
World Ranking
4890
National Ranking
1801

Overview

Qinbin Li is affiliated with the University of California, Los Angeles in the United States and has contributed extensively to the field of computer science, particularly in areas related to artificial intelligence and privacy-preserving technologies. Their research primarily focuses on federated learning, privacy, security, and data protection within distributed machine learning frameworks.

The main fields of study covered by Qinbin Li include:

  • Computer Science

Within these, the predominant subfields of their research are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Sociology and Political Science
  • Building and Construction
  • Computer Networks and Communications

The scientist has addressed several core topics, including:

  • Privacy-Preserving Technologies in Data
  • Stochastic Gradient Optimization Techniques
  • Cryptography and Data Security
  • Privacy, Security, and Data Protection
  • Machine Learning and Data Classification
  • Adversarial Robustness in Machine Learning
  • Generative Adversarial Networks and Image Synthesis

Qinbin Li's recent papers demonstrate their focus on federated learning and privacy in machine learning systems. Notable publications include:

  • "Federated Learning on Non-IID Data Silos: An Experimental Study," 2022, published in the 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "Practical Federated Gradient Boosting Decision Trees," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Federated Learning on Non-IID Data Silos: An Experimental Study," 2021, arXiv (Cornell University)
  • "Privacy-Preserving Gradient Boosting Decision Trees," 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Throughout their career, Qinbin Li has frequently collaborated with other researchers. Key coauthors with multiple joint publications are:

  • Bingsheng He
  • Dawn Song
  • Yiqun Diao
  • Zhaomin Wu
  • Chulin Xie

Regarding publication venues, Qinbin Li has published predominantly in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the VLDB Endowment
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • IEEE Transactions on Knowledge and Data Engineering

Best Publications

  • Global modeling of tropospheric chemistry with assimilated meteorology : Model description and evaluation

    Isabelle Bey;Daniel James Jacob;Robert M. Yantosca;Jennifer A. Logan

  • An improved retrieval of tropospheric nitrogen dioxide from GOME

    Randall V. Martin;Kelly Chance;Daniel J. Jacob;Thomas P. Kurosu

  • Air mass factor formulation for spectroscopic measurements from satellites: Application to formaldehyde retrievals from the Global Ozone Monitoring Experiment

    Paul I. Palmer;Daniel James Jacob;Kelly V. Chance;Randall V. Martin

  • Sulfate Formation in Sea-Salt Aerosols: Constraints from Oxygen Isotopes

    B. Alexander;Rokjin J. Park;Daniel J. Jacob;Q. B. Li

  • Atmospheric budget of acetone

    Daniel J. Jacob;Brendan D. Field;Emily M. Jin;Isabelle Bey

  • Transatlantic transport of pollution and its effects on surface ozone in Europe and North America

    Qinbin Li;Daniel J. Jacob;Isabelle Bey;Isabelle Bey;Paul I. Palmer

  • Global budget of methanol : Constraints from atmospheric observations

    Daniel J. Jacob;Brendan D. Field;Qinbin Li;Qinbin Li;Donald R. Blake

  • Mapping annual mean ground‐level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States

    Yang Liu;Rokjin J. Park;Daniel J. Jacob;Qinbin Li

  • Wildfire smoke injection heights: Two perspectives from space

    Ralph A. Kahn;Ralph A. Kahn;Yang Chen;David L. Nelson;Fok-Yan Leung

  • Validation of Aura Microwave Limb Sounder O3 and CO observations in the upper troposphere and lower stratosphere

    N. J. Livesey;Mark Filipiak;L. Froidevaux;W. G. Read

  • Atmospheric hydrogen cyanide (HCN): Biomass burning source, ocean sink?

    Qinbin Li;Daniel James Jacob;Isabelle Bey;Robert M. Yantosca

  • Variability in surface ozone background over the United States: Implications for air quality policy

    Arlene M. Fiore;Arlene M. Fiore;Daniel J. Jacob;Hongyu Liu;Hongyu Liu;R. M. Yantosca

  • Convective outflow of South Asian pollution: A global CTM simulation compared with EOS MLS observations

    Qinbin Li;Jonathan H. Jiang;Dong L. Wu;William G. Read

  • Satellite remote sounding of mid-tropospheric CO2

    M. T. Chahine;Luke Chen;Paul Dimotakis;Xun Jiang

  • North American Pollution Outflow and the Trapping of Convectively Lifted Pollution by Upper-Level Anticyclone

    Qinbin Li;Qinbin Li;Daniel J. Jacob;Rokjin J. Park;Yuxuan Wang

  • Interpretation of TOMS observations of tropical tropospheric ozone with a global model and in-situ observations

    Randall V. Martin;Daniel J. Jacob;Jennifer A. Logan;Isabelle Bey;Isabelle Bey

  • Variation of the radiative properties during black carbon aging: theoretical and experimental intercomparison

    C. He;K.-N. Liou;Y. Takano;R. Zhang

  • Evaluating the contribution of changes in isoprene emissions to surface ozone trends over the eastern United States

    Arlene M. Fiore;Arlene M. Fiore;Larry W. Horowitz;Drew W. Purves;Hiram Levy

  • The adjoint of CMAQ.

    Amir Hakami;Daven K. Henze;John H. Seinfeld;Kumaresh Singh

  • In situ measurements of HCN and CH3CN over the Pacific Ocean: Sources, sinks, and budgets

    H. B. Singh;L. Salas;D. Herlth;R. Kolyer

  • In situ measurements of HCN and CH3CN over the Pacific Ocean: Sources, sinks, and budgets : NASA global tropospheric experiment transport and chemical evolution over the Pacific (TRACE-P): Measurements and analysis (TRACEP1)

    H. B. Singh;L. Salas;D. Herlth;R. Kolyer

Frequent Co-Authors

Daniel J. Jacob
Daniel J. Jacob Harvard University
Robert M. Yantosca
Robert M. Yantosca Harvard University
Kuo-Nan Liou
Kuo-Nan Liou University of California, Los Angeles
Isabelle Bey
Isabelle Bey Federal Office of Meteorology and Climatology
Jonathan H. Jiang
Jonathan H. Jiang California Institute of Technology
Randall V. Martin
Randall V. Martin Washington University in St. Louis
Ralph A. Kahn
Ralph A. Kahn Goddard Space Flight Center
Yuk L. Yung
Yuk L. Yung California Institute of Technology
Jennifer A. Logan
Jennifer A. Logan Harvard University

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