World's Best Scientists 2026 revealed!
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Computer Science
China
2023

D-Index & Metrics

Computer Science

D-Index
71
Citations
18922
World Ranking
1785
National Ranking
246

Research.com Recognitions

  • 2023 - Research.com Computer Science in China Leader Award

Overview

Jie Liu is affiliated with the Harbin Institute of Technology in China and works primarily in the field of Computer Science. Their research encompasses multiple subfields, including Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Molecular Biology, and Computer Vision and Pattern Recognition.

The main topics of Jie Liu's work include:

  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Advanced Numerical Methods in Computational Mathematics
  • Text and Document Classification Technologies
  • Image Retrieval and Classification Techniques
  • Machine Learning in Bioinformatics
  • Advanced biosensing and bioanalysis techniques

Jie Liu has contributed to recent research published in a variety of academic venues. Their own authored paper includes:

  • Traceable Attribute-Based Encryption Scheme Using BIM Collaborative Design, 2024, Buildings

The scientist has also been associated with many recent papers in related fields by frequent coauthors and in overlapping research areas. Selected recent publications include:

  • Multi-label feature selection by strongly relevant label gain and label mutual aid, 2023, Pattern Recognition
  • Acceleration of a Production-Level Unstructured Grid Finite Volume CFD Code on GPU, 2023, Applied Sciences
  • Utilizing dual carriers assisted by enzyme digestion chemiluminescence signal enhancement strategy simultaneously detect tumor markers CEA and AFP, 2022, Analytical Sciences
  • Attribute Reduction for Heterogeneous Data by Hybrid Neighborhood Graph Structure and Neighbor Inconsistent Pair Selection, 2024, IEEE Transactions on Emerging Topics in Computational Intelligence

Jie Liu frequently collaborates with researchers such as Ruitian Li, Jianhua Dai, Chucai Zhang, Jian Zhang, and Zhe Dai. Their collaborative efforts contribute to a multidisciplinary approach intersecting computational intelligence, bioinformatics, and engineering applications.

The main publication venues associated with Jie Liu and their network include:

  • Pattern Recognition
  • Applied Sciences
  • Analytical Sciences
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Buildings

This profile reflects Jie Liu's ongoing contributions to computer science research with an emphasis on computational techniques, encryption methods, and interdisciplinary applications bridging technology and biology.

Best Publications

  • Taming heterogeneity - the Ptolemy approach

    J. Eker;J.W. Janneck;E.A. Lee;Jie Liu

  • A vehicle-to-vehicle communication protocol for cooperative collision warning

    X. Yang;L. Liu;N.H. Vaidya;F. Zhao

  • Energy-aware server provisioning and load dispatching for connection-intensive internet services

    Gong Chen;Wenbo He;Jie Liu;Suman Nath

  • Virtual machine power metering and provisioning

    Aman Kansal;Feng Zhao;Jie Liu;Nupur Kothari

  • Collaborative signal and information processing: an information-directed approach

    Feng Zhao;Jie Liu;Juan Liu;L. Guibas

  • Surviving wi-fi interference in low power ZigBee networks

    Chieh-Jan Mike Liang;Nissanka Bodhi Priyantha;Jie Liu;Andreas Terzis

  • SenseWeb: An Infrastructure for Shared Sensing

    W.I. Grosky;A. Kansal;S. Nath;Jie Liu

  • A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned

    Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury

  • FM-based indoor localization

    Yin Chen;Dimitrios Lymberopoulos;Jie Liu;Bodhi Priyantha

  • Fast app launching for mobile devices using predictive user context

    Tingxin Yan;David Chu;Deepak Ganesan;Aman Kansal

  • Cuanta: quantifying effects of shared on-chip resource interference for consolidated virtual machines

    Sriram Govindan;Jie Liu;Aman Kansal;Anand Sivasubramaniam

  • Semantic streams: a framework for composable semantic interpretation of sensor data

    Kamin Whitehouse;Feng Zhao;Jie Liu

  • Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

    Dimitrios Stamoulis;Ruizhou Ding;Di Wang;Dimitrios Lymberopoulos

  • SSD Failures in Datacenters: What, When and Why?

    Iyswarya Narayanan;Di Wang;Myeongjae Jeon;Bikash Sharma

  • LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones

    B Priyantha;D Lymberopoulos;Jie Liu

  • SpeakerSense: energy efficient unobtrusive speaker identification on mobile phones

    Hong Lu;A. J. Bernheim Brush;Bodhi Priyantha;Amy K. Karlson

  • RACNet: a high-fidelity data center sensing network

    Chieh-Jan Mike Liang;Jie Liu;Liqian Luo;Andreas Terzis

  • A Programming Model for Time-Synchronized Distributed Real-Time Systems

    Yang Zhao;Jie Liu;E.A. Lee

  • Vehicle-to-vehicle communication protocol

    Jie Liu;Xue Yang;Feng Zhao

  • Multitarget Tracking in Distributed Sensor Networks

    J. Liu;M. Chu;J.E. Reich

Frequent Co-Authors

Feng Zhao
Feng Zhao Microsoft (United States)
Aman Kansal
Aman Kansal Microsoft (United States)
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Suman Nath
Suman Nath Microsoft (United States)
Edward A. Lee
Edward A. Lee University of California, Berkeley
Ranveer Chandra
Ranveer Chandra Microsoft (United States)
Xue Liu
Xue Liu McGill University
Ricardo Bianchini
Ricardo Bianchini Microsoft (United States)
Andreas Terzis
Andreas Terzis Google (United States)
David A. Maltz
David A. Maltz Microsoft (United States)

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