World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
29472
World Ranking
849
National Ranking
464

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to parallel and distributed computing
  • 2007 - ACM Senior Member

Overview

Keqin Li is affiliated with the State University of New York at New Paltz in the United States and has an extensive publication record within the field of Computer Science, with a particular focus on Computer Networks and Communications, Artificial Intelligence, and Information Systems. Their research contributions span a variety of interconnected subfields including Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.

Their work primarily addresses topics such as IoT and Edge/Fog Computing, Cloud Computing and Resource Management, Age of Information Optimization, Distributed and Parallel Computing Systems, Caching and Content Delivery, Parallel Computing and Optimization Techniques, and Blockchain Technology Applications and Security.

Keqin Li has been involved in publishing recent academic papers in several respected venues. Notable works include:

  • Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks, 2020, ACM Transactions on Knowledge Discovery from Data
  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization, 2020, Information Sciences
  • Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach, 2020, IEEE Transactions on Parallel and Distributed Systems
  • Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks, 2021, IEEE Transactions on Parallel and Distributed Systems
  • A Stackelberg game approach to multiple resources allocation and pricing in mobile edge computing, 2020, Future Generation Computer Systems

Frequent collaborators in Li's research include Kenli Li, Tao Meng, Weiwei Lin, Yuntao Shou, and Wei Ai.

Keqin Li has published extensively in several frequent publication venues, including:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Services Computing
  • Future Generation Computer Systems
  • SSRN Electronic Journal

Among the professional recognitions, Keqin Li was named an IEEE Fellow in 2015 for contributions to parallel and distributed computing and became an ACM Senior Member in 2007.

Best Publications

  • A Comprehensive Survey of Network Function Virtualization

    Bo Yi;Xingwei Wang;Keqin Li;Sajal k. Das

  • 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

  • A Survey of Intrusion Detection for In-Vehicle Networks

    Wufei Wu;Renfa Li;Guoqi Xie;Jiyao An

  • Sustainable Computing: Informatics and Systems

    Keqin 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

  • Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

    Junwei Cao;Kai Hwang;Keqin Li;Albert Y. Zomaya

  • Multi-User Multi-Task Computation Offloading in Green Mobile Edge Cloud Computing

    Weiwei Chen;Dong Wang;Keqin Li

  • Energy-Efficient Stochastic Task Scheduling on Heterogeneous Computing Systems

    Kenli Li;Xiaoyong Tang;Keqin Li

  • SeDaSC: Secure Data Sharing in Clouds

    Mazhar Ali;Revathi Dhamotharan;Eraj Khan;Samee U. Khan

  • Optimal dynamic mobility management for PCS networks

    Jie Li;Hisao Kameda;Keqin Li

  • Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms

    Zhou Zhou;Zhou Zhou;Jemal Abawajy;Morshed Chowdhury;Zhigang Hu

  • Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server Processors across Clouds and Data Centers

    Junwei Cao;Keqin Li;Ivan Stojmenovic

  • 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

  • A two dimensional buddy system for dynamic resource allocation in a partitionable mesh connected system

    Keqin Li;Kam Hoi Cheng

  • 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

  • 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

  • A two-dimensional buddy systems for dynamic resource allocation in a partitionable mesh connected system

    Keqin Li;Kam-Hoi Cheng

Frequent Co-Authors

Kenli Li
Kenli Li Hunan University
Guoqi Xie
Guoqi Xie Hunan University
Samee U. Khan
Samee U. Khan Mississippi State University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Kashif Bilal
Kashif Bilal COMSATS University Islamabad
Fan Zhang
Fan Zhang Chinese Academy of Sciences
Weimin Zheng
Weimin Zheng Tsinghua University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Hong Shen
Hong Shen Sun Yat-sen University
Jie Li
Jie Li Shanghai Jiao Tong University

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