World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
21740
World Ranking
1495
National Ranking
203

Overview

Kenli Li is affiliated with Hunan University in China and is active in the field of computer science, with a total of 679 publications contributing to this domain. Their research interests focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Information Systems.

The main topics covered in their research include:

  • Parallel Computing and Optimization Techniques
  • IoT and Edge/Fog Computing
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Cloud Computing and Resource Management
  • Tensor Decomposition and Applications
  • Graph Theory and Algorithms

Kenli Li has published research extensively in key venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Information Sciences
  • IEEE Journal of Biomedical and Health Informatics

The scientist has frequently collaborated with a number of coauthors, including:

  • Keqin Li (115 joint publications)
  • Zhuo Tang (42 joint publications)
  • Chubo Liu (29 joint publications)
  • Wangdong Yang (26 joint publications)
  • Guoqing Xiao (22 joint publications)

Selected recent papers from Kenli Li's research portfolio include:

  • "Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning," 2020, Journal of Proteome Research
  • "Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks," 2020, ACM Transactions on Knowledge Discovery from Data
  • "Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework," 2022, Nature Machine Intelligence
  • "Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT," 2021, IEEE Transactions on Industrial Informatics
  • "Hierarchical Graph Neural Networks for Few-Shot Learning," 2021, IEEE Transactions on Circuits and Systems for Video Technology

Best Publications

  • iProX: an integrated proteome resource.

    Jie Ma;Tao Chen;Songfeng Wu;Chunyuan Yang

  • vCUDA: GPU-Accelerated High-Performance Computing in Virtual Machines

    Lin Shi;Hao Chen;Jianhua Sun;Kenli Li

  • A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment

    Jianguo Chen;Kenli Li;Zhuo Tang;Kashif Bilal

  • A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues

    Yuming Xu;Kenli Li;Jingtong Hu;Keqin Li;Keqin Li

  • Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters

    Xudong Kang;Xiangping Zhang;Shutao Li;Kenli Li

  • An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment

    Zhuo Tang;Ling Qi;Zhenzhen Cheng;Kenli Li

  • A hybrid deep learning CNNELM for age and gender classification

    Mingxing Duan;Kenli Li;Canqun Yang;Keqin Li

  • Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems

    Kenli Li;Xiaoyong Tang;Keqin Li

  • Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning.

    Xiangxiang Zeng;Xiang Song;Tengfei Ma;Xiaoqin Pan

  • Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing

    Jianguo Chen;Kenli Li;Qingying Deng;Keqin Li

  • Performance Analysis and Optimization for SpMV on GPU Using Probabilistic Modeling

    Kenli Li;Wangdong Yang;Keqin Li

  • A scheduling scheme in the cloud computing environment using deep Q-learning

    Zhao Tong;Hongjian Chen;Xiaomei Deng;Kenli Li

  • Gated Residual Recurrent Graph Neural Networks for Traffic Prediction

    Cen Chen;Kenli Li;Sin G. Teo;Xiaofeng Zou

  • Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

    Cen Chen;Kenli Li;Sin G. Teo;Xiaofeng Zou

  • Scheduling Precedence Constrained Stochastic Tasks on Heterogeneous Cluster Systems

    Kenli Li;Xiaoyong Tang;Bharadwaj Veeravalli;Keqin Li

  • Multiple convolutional neural networks for multivariate time series prediction

    Kang Wang;Kenli Li;Liqian Zhou;Yikun Hu

  • Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems

    Longxin Zhang;Longxin Zhang;Kenli Li;Changyun Li;Keqin Li;Keqin Li

  • Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT

    Bin Pu;Kenli Li;Shengli Li;Ningbo Zhu

  • A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function

    Fei Yu;Li Liu;Lin Xiao;Kenli Li

  • Chemical reaction optimization with greedy strategy for the 0-1 knapsack problem

    Tung Khac Truong;Kenli Li;Yuming Xu

  • A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine

    Mingxing Duan;Kenli Li;Xiangke Liao;Keqin Li

  • A Hybrid Chemical Reaction Optimization Scheme for Task Scheduling on Heterogeneous Computing Systems

    Yuming Xu;Kenli Li;Ligang He;Longxin Zhang

Frequent Co-Authors

Keqin Li
Keqin Li State University of New York at New Paltz
Lin Xiao
Lin Xiao Hunan Normal University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Qi Tian
Qi Tian Huawei Technologies (China)
Xiao Qin
Xiao Qin Auburn University
Guojun Wang
Guojun Wang Guangzhou University
Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Shui Yu
Shui Yu University of Technology Sydney

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