World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4553
World Ranking
14004
National Ranking
5565

Overview

Wei-Shinn Ku is affiliated with Auburn University in the United States. Their research output spans several areas within computer science and engineering, focusing prominently on artificial intelligence, computer networks and communications, and transportation.

The primary fields of study for Wei-Shinn Ku include:

  • Computer Science
  • Engineering

Key subfields of study cover:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Transportation
  • Computer Vision and Pattern Recognition
  • Molecular Biology

The scientist's work addresses a variety of topics such as:

  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques
  • Advanced Graph Neural Networks
  • Cryptography and Data Security
  • Privacy-Preserving Technologies in Data
  • Data Management and Algorithms
  • Opportunistic and Delay-Tolerant Networks

Wei-Shinn Ku has contributed papers to several publication venues, with multiple articles appearing in the following outlets:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • 2022 IEEE International Conference on Big Data (Big Data)
  • IEEE Transactions on Network Science and Engineering
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Notable recent papers include:

  • "Freeway Travel Time Prediction Using Deep Hybrid Model - Taking Sun Yat-Sen Freeway as an Example," 2020, IEEE Transactions on Vehicular Technology
  • "G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing," 2021, The VLDB Journal
  • "Privacy-Preserving Collaborative Filtering Using Fully Homomorphic Encryption," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "An RFID Zero-Knowledge Authentication Protocol Based on Quadratic Residues," 2021, IEEE Internet of Things Journal
  • "Towards Wireless Power Transfer in Mobile Social Networks," 2021, IEEE Transactions on Network Science and Engineering

Wei-Shinn Ku has frequently co-authored with several researchers, including:

  • Min-Te Sun
  • Kazuya Sakai
  • Bo Hui
  • Da Yan
  • Po-Wei Harn

Best Publications

  • Advances in Spatial and Temporal Databases

    Michael Gertz;Matthias Renz;Xiaofang Zhou;Erik Hoel

  • Collaborative Detection of DDoS Attacks over Multiple Network Domains

    Yu Chen;Kai Hwang;Wei-Shinn Ku

  • Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

    Michael A. Alcorn;Qi Li;Zhitao Gong;Chengfei Wang

  • Malicious node detection in wireless sensor networks using weighted trust evaluation

    Idris M. Atakli;Hongbing Hu;Yu Chen;Wei Shinn Ku

  • Distributed continuous range query processing on moving objects

    Haojun Wang;Roger Zimmermann;Wei-Shinn Ku

  • Leveraging spatio-temporal redundancy for RFID data cleansing

    Haiquan Chen;Wei-Shinn Ku;Haixun Wang;Min-Te Sun

  • The multi-rule partial sequenced route query

    Haiquan Chen;Wei-Shinn Ku;Min-Te Sun;Roger Zimmermann

  • Spatial Query Integrity with Voronoi Neighbors

    Ling Hu;Wei-Shinn Ku;S. Bakiras;C. Shahabi

  • Location-Based Spatial Query Processing with Data Sharing in Wireless Broadcast Environments

    Wei-Shinn Ku;Roger Zimmermann;Haixun Wang

  • Efficient Evaluation of k-Range Nearest Neighbor Queries in Road Networks

    Jie Bao;Chi-Yin Chow;Mohamed F. Mokbel;Wei-Shinn Ku

  • Query Integrity Assurance of Location-Based Services Accessing Outsourced Spatial Databases

    Wei-Shinn Ku;Ling Hu;Cyrus Shahabi;Haixun Wang

  • Analysis of Integrity Vulnerabilities and a Non-repudiation Protocol for Cloud Data Storage Platforms

    Jun Feng;Yu Chen;Wei-Shinn Ku;Pu Liu

  • Privacy Protected Query Processing on Spatial Networks

    Wei-Shinn Ku;R. Zimmermann;Wen-Chih Peng;S. Shroff

  • A Cloaking Algorithm Based on Spatial Networks for Location Privacy

    Po-YiLi;Wen-Chih Peng;Tsung-Wei Wang;Wei-Shinn Ku

  • Privacy Protected Spatial Query Processing for Advanced Location Based Services

    Wei-Shinn Ku;Yu Chen;Roger Zimmermann

  • Adaptive nearest neighbor queries in travel time networks

    Wei-Shinn Ku;Roger Zimmermann;Haojun Wang;Chi-Ngai Wan

  • Efficient Parallel Skyline Evaluation Using MapReduce

    Ji Zhang;Xunfei Jiang;Wei-Shinn Ku;Xiao Qin

  • G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph

    Da Yan;Guimu Guo;Mashiur Rahman Chowdhury;M. Tamer Ozsu

  • Freeway Travel Time Prediction Using Deep Hybrid Model – Taking Sun Yat-Sen Freeway as an Example

    Pei-Ya Ting;Tomotaka Wada;Yi-Lun Chiu;Min-Te Sun

  • Enhancing cloud storage security against roll-back attacks with a new fair multi-party non-repudiation protocol

    Jun Feng;Yu Chen;Douglas Summerville;Wei-Shinn Ku

  • Learning-Based Cleansing for Indoor RFID Data

    Asif Iqbal Baba;Manfred Jaeger;Hua Lu;Torben Bach Pedersen

  • An RFID and particle filter-based indoor spatial query evaluation system

    Jiao Yu;Wei-Shinn Ku;Min-Te Sun;Hua Lu

  • Weighted trust evaluation-based malicious node detection for wireless sensor networks

    Hongbing Hu;Yu Chen;Wei-Shinn Ku;Zhou Su

Frequent Co-Authors

Roger Zimmermann
Roger Zimmermann National University of Singapore
Yu Chen
Yu Chen Binghamton University
Xiao Qin
Xiao Qin Auburn University
Haixun Wang
Haixun Wang Instacart
Hua Lu
Hua Lu Aalborg University
Cyrus Shahabi
Cyrus Shahabi University of Southern California
Jie Wu
Jie Wu Temple University
Kai Hwang
Kai Hwang Chinese University of Hong Kong, Shenzhen
Torben Bach Pedersen
Torben Bach Pedersen Aalborg University
Wen-Chih Peng
Wen-Chih Peng National Yang Ming Chiao Tung University

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