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Computer Science

D-Index
53
Citations
13516
World Ranking
4756
National Ranking
2212

Overview

Li Zhang is a researcher affiliated with IBM in the United States, specializing in Computer Science with a focus on multiple subfields including Computer Networks and Communications, Information Systems, Software, Signal Processing, and Artificial Intelligence. Their work spans a range of topics primarily related to software engineering and cybersecurity.

Their research topics encompass:

  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Cloud Computing and Resource Management
  • Software Reliability and Analysis Research
  • Software Engineering Research
  • Information and Cyber Security

Li Zhang has contributed to various publication venues, with frequent appearances in:

  • Symmetry
  • arXiv (Cornell University)
  • International Journal of Critical Infrastructures
  • Computers & Security
  • Chinese Journal of Electronics

Their recent notable papers include:

  • "Three decades of deception techniques in active cyber defense - Retrospect and outlook," 2021, Computers & Security
  • "A graph structure feature-based framework for the pattern recognition of the operational states of integrated energy systems," 2022, Expert Systems with Applications

Among their frequent co-authors are:

  • Yukun Dong
  • Meng Wu
  • Wenjing Yin
  • Haojie Li
  • Vrizlynn L. L. Thing

Their work on malware detection, network security, cloud computing, and software reliability shows an interdisciplinary approach to addressing challenges in modern computing environments. The combination of topics such as advanced malware detection techniques and cloud resource management reflects a focus on securing and optimizing distributed computing systems.

Overall, Li Zhang's research outputs contribute to the understanding and development of cybersecurity defenses, software analysis, and operational frameworks for complex systems. Their involvement in multiple collaborations and publications across diverse scholarly venues highlights their active participation in these scientific discussions.

Best Publications

  • ArnetMiner: extraction and mining of academic social networks

    Jie Tang;Jing Zhang;Limin Yao;Juanzi Li

  • Improving the Scalability of Data Center Networks with Traffic-aware Virtual Machine Placement

    Xiaoqiao Meng;Vasileios Pappas;Li Zhang

  • Efficient resource provisioning in compute clouds via VM multiplexing

    Xiaoqiao Meng;Canturk Isci;Jeffrey Kephart;Li Zhang

  • Consolidating virtual machines with dynamic bandwidth demand in data centers

    Meng Wang;Xiaoqiao Meng;Li Zhang

  • Understanding retweeting behaviors in social networks

    Zi Yang;Jingyi Guo;Keke Cai;Jie Tang

  • MapTask scheduling in mapreduce with data locality: throughput and heavy-traffic optimality

    Weina Wang;Kai Zhu;Lei Ying;Jian Tan

  • Energy-Aware Autonomic Resource Allocation in Multitier Virtualized Environments

    D. Ardagna;B. Panicucci;M. Trubian;Li Zhang

  • Placement of virtual machines based on server cost and network cost

    Douglas M. Freimuth;Xiaoqiao Meng;Vasileios Pappas;Li Zhang

  • Clock synchronization algorithms for network measurements

    Li Zhang;Zhen Liu;C. Honghui Xia

  • Map task scheduling in MapReduce with data locality: Throughput and heavy-traffic optimality

    Weina Wang;Kai Zhu;Lei Ying;Jian Tan

  • SparkBench: a comprehensive benchmarking suite for in memory data analytic platform Spark

    Min Li;Jian Tan;Yandong Wang;Li Zhang

  • A smart hill-climbing algorithm for application server configuration

    Bowei Xi;Zhen Liu;Mukund Raghavachari;Cathy H. Xia

  • Analysis and characterization of large-scale Web server access patterns and performance

    Arun K. Iyengar;Mark S. Squillante;Li Zhang

  • Mining Social Emotions from Affective Text

    Shenghua Bao;Shengliang Xu;Li Zhang;Rong Yan

  • SLA based profit optimization in autonomic computing systems

    Li Zhang;Danilo Ardagna

  • MRONLINE: MapReduce online performance tuning

    Min Li;Liangzhao Zeng;Shicong Meng;Jian Tan

  • Adaptive, Model-driven Autoscaling for Cloud Applications

    Anshul Gandhi;Parijat Dube;Alexei A. Karve;Andrzej Kochut

  • SLA based resource allocation policies in autonomic environments

    Danilo Ardagna;Marco Trubian;Li Zhang

  • Delay tails in MapReduce scheduling

    Jian Tan;Xiaoqiao Meng;Li Zhang

  • Social context summarization

    Zi Yang;Keke Cai;Jie Tang;Li Zhang

Frequent Co-Authors

Zhen Liu
Zhen Liu Nokia (Finland)
Zhong Su
Zhong Su Alibaba Group (China)
Mark S. Squillante
Mark S. Squillante IBM (United States)
Danilo Ardagna
Danilo Ardagna Polytechnic University of Milan
Jianwen Liang
Jianwen Liang General Research Institute For Nonferrous Metals (China)
Asser N. Tantawi
Asser N. Tantawi IBM (United States)
David D. Yao
David D. Yao Columbia University
Weihong Qian
Weihong Qian Peking University
Daniel M. Dias
Daniel M. Dias IBM (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University

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