World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9950
World Ranking
6152
National Ranking
2763

Overview

Jie Gao is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily falls within the field of Computer Science, with a significant focus on subfields such as Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Computer Vision and Pattern Recognition, and Computational Theory and Mathematics.

Their work covers a range of research topics, including:

  • Optimization and Search Problems
  • Vehicle Routing Optimization Methods
  • Robotic Path Planning Algorithms
  • Intelligent Tutoring Systems and Adaptive Learning
  • Complexity and Algorithms in Graphs
  • Advanced Graph Theory Research
  • Game Theory and Voting Systems

Jie Gao has contributed to multiple scholarly publications, including journal articles, conference proceedings, and preprints. Notable recent papers include:

  • Damage evaluation method based on ultrasound technique for gangue concrete under freezing-thawing cycles, 2020, Construction and Building Materials
  • Community detection in the human connectome: Method types, differences and their impact on inference, 2024, Human Brain Mapping
  • Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • Connected Wireless Camera Network Deployment with Visibility Coverage, 2020, ACM Transactions on Internet of Things
  • Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency, 2020, arXiv (Cornell University)

The frequent venues where Jie Gao publishes include:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Construction and Building Materials
  • Human Brain Mapping
  • Proceedings of the AAAI Conference on Artificial Intelligence

Jie Gao collaborates regularly with a group of coauthors, notably:

  • Hao-Tsung Yang
  • Joseph S. B. Mitchell
  • Chengyuan Deng
  • Peyman Afshani
  • Mark de Berg

Best Publications

  • Locating and bypassing holes in sensor networks

    Qing Fang;Jie Gao;Leonidas J. Guibas

  • Locating and bypassing routing holes in sensor networks

    Qing Fang;Jie Gao;L.J. Guibas

  • Geometric spanners for routing in mobile networks

    Jie Gao;L.J. Guibas;J. Hershberger;Li Zhang

  • Boundary recognition in sensor networks by topological methods

    Yue Wang;Jie Gao;Joseph S.B. Mitchell

  • Geometric spanner for routing in mobile networks

    Jie Gao;Leonidas J. Guibas;John Hershberger;Li Zhang

  • GLIDER: gradient landmark-based distributed routing for sensor networks

    Qing Fang;Jie Gao;L.J. Guibas;V. de Silva

  • Detecting Wormhole Attacks in Wireless Networks Using Connectivity Information

    R. Maheshwari;Jie Gao;S.R. Das

  • Moving beyond end-to-end path information to optimize CDN performance

    Rupa Krishnan;Harsha V. Madhyastha;Sridhar Srinivasan;Sushant Jain

  • Localization and routing in sensor networks by local angle information

    Jehoshua Bruck;Jie Gao;Anxiao (Andrew) Jiang

  • Map: medial axis based geometric routing in sensor networks

    Jehoshua Bruck;Jie Gao;Anxiao Jiang

  • Discrete mobile centers

    Jie Gao;Leonidas Guibas;John Hershberger;Li Zhang

  • Load-balanced short-path routing in wireless networks

    Jie Gao;Li Zhang

  • Efficient algorithms for K-anonymous location privacy in participatory sensing

    Khuong Vu;Rong Zheng;Jie Gao

  • Double rulings for information brokerage in sensor networks

    Rik Sarkar;Xianjin Zhu;Jie Gao

  • Connectivity-based localization of large-scale sensor networks with complex shape

    Sol Lederer;Yue Wang;Jie Gao

  • Localization and routing in sensor networks by local angle information

    Jehoshua Bruck;Jie Gao;Anxiao (Andrew) Jiang

  • Optimizing Bulk Transfers with Software-Defined Optical WAN

    Xin Jin;Yiran Li;Da Wei;Siming Li

  • Deformable spanners and applications

    Jie Gao;Leonidas J. Guibas;An Nguyen

  • Sparse data aggregation in sensor networks

    Jie Gao;Leonidas Guibas;Nikola Milosavljevic;John Hershberger

  • Greedy routing with guaranteed delivery using Ricci flows

    Rik Sarkar;Xiaotian Yin;Jie Gao;Feng Luo

  • Landmark-Based Information Storage and Retrieval in Sensor Networks

    Q. Fang;J. Gao;L. J. Guibas

Frequent Co-Authors

Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Joseph S. B. Mitchell
Joseph S. B. Mitchell Stony Brook University
Li Zhang
Li Zhang Google (United States)
Xianfeng Gu
Xianfeng Gu Stony Brook University
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
John Hershberger
John Hershberger Mentor Graphics
Jehoshua Bruck
Jehoshua Bruck California Institute of Technology
Micha Sharir
Micha Sharir Tel Aviv University
Haim Kaplan
Haim Kaplan Tel Aviv University
Alon Efrat
Alon Efrat University of Arizona

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