World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
7796
World Ranking
5433
National Ranking
728

Overview

Ke Yi is affiliated with the Hong Kong University of Science and Technology in China. Their academic contributions span the field of Computer Science, with a particular focus on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics, as well as Sociology and Political Science.

The main topics of Ke Yi's research include:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Internet Traffic Analysis and Secure E-voting
  • Data Management and Algorithms
  • Advanced Database Systems and Queries
  • Complexity and Algorithms in Graphs
  • Algorithms and Data Compression

Ke Yi has published extensively with 138 recorded publications. Frequent venues for their work include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Management of Data
  • Proceedings of the VLDB Endowment
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • ACM SIGMOD Record

Notable recent papers authored or co-authored by Ke Yi are:

  • Rapid enrichment of cesium ions in aqueous solution by copper ferrocyanide powder (2020), SN Applied Sciences
  • MDFF-Net: A multi-dimensional feature fusion network for breast histopathology image classification (2023), Computers in Biology and Medicine
  • R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys (2022), Proceedings of the 2022 International Conference on Management of Data
  • Conjunctive Queries with Comparisons (2022), Proceedings of the 2022 International Conference on Management of Data
  • Random Sampling and Size Estimation Over Cyclic Joins (2020), Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Ke Yi has collaborated frequently with the following researchers:

  • Wei Dong
  • Graham Cormode
  • Qichen Wang
  • Qiyao Luo
  • Juanru Fang

Their work also includes contributions to book publications, including a title published by Cambridge University Press:

  • Small Summaries for Big Data (2020)

Best Publications

  • The priority R-tree: A practically efficient and worst-case optimal R-tree

    Lars Arge;Mark De Berg;Herman Haverkort;Ke Yi

  • Quality and efficiency in high dimensional nearest neighbor search

    Yufei Tao;Ke Yi;Cheng Sheng;Panos Kalnis

  • An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams

    Tamraparni Dasu;Shankar Krishnan;Suresh Venkatasubramanian;Ke Yi

  • Mergeable summaries

    Pankaj K. Agarwal;Graham Cormode;Zengfeng Huang;Jeff M. Phillips

  • Finding frequent items in probabilistic data

    Qin Zhang;Feifei Li;Ke Yi

  • Semantics of Ranking Queries for Probabilistic Data and Expected Ranks

    Graham Cormode;Feifei Li;Ke Yi

  • Tree indexing on solid state drives

    Yinan Li;Bingsheng He;Robin Jun Yang;Qiong Luo

  • Optimal Tracking of Distributed Heavy Hitters and Quantiles

    Ke Yi;Qin Zhang

  • Mergeable summaries

    Pankaj K. Agarwal;Graham Cormode;Zengfeng Huang;Jeff Phillips

  • Algorithms for distributed functional monitoring

    Graham Cormode;S. Muthukrishnan;Ke Yi

  • Wander Join: Online Aggregation via Random Walks

    Feifei Li;Bin Wu;Ke Yi;Zhuoyue Zhao

  • Sliding-window top-k queries on uncertain streams

    Cheqing Jin;Ke Yi;Lei Chen;Jeffrey Xu Yu

  • The Priority R-tree: a practically efficient and worst-case optimal R-tree

    Lars Arge;Mark de Berg;Herman J. Haverkort;Ke Yi

  • Efficient and accurate nearest neighbor and closest pair search in high-dimensional space

    Yufei Tao;Ke Yi;Cheng Sheng;Panos Kalnis

  • Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations

    Ke Yi;Feifei Li;G. Kollios;D. Srivastava

  • Efficient maintenance of materialized top-k views

    Ke Yi;Hai Yu;Jun Yang;Gangqiang Xia

  • Tree Indexing on Flash Disks

    Yinan Li;Bingsheng He;Qiong Luo;Ke Yi

  • Nearest neighbor searching under uncertainty II

    Pankaj K. Agarwal;Boris Aronov;Sariel Har-Peled;Jeff M. Phillips

  • Efficient Processing of Top-k Queries in Uncertain Databases

    Ke Yi;Feifei Li;G. Kollios;D. Srivastava

  • Random Sampling over Joins Revisited

    Zhuoyue Zhao;Robert Christensen;Feifei Li;Xiao Hu

  • Nearest-Neighbor Searching Under Uncertainty II

    Pankaj K. Agarwal;Boris Aronov;Sariel Har-Peled;Jeff M. Phillips

Frequent Co-Authors

Feifei Li
Feifei Li Alibaba Group (China)
Graham Cormode
Graham Cormode University of Warwick
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Lars Arge
Lars Arge Aarhus University
Yufei Tao
Yufei Tao Chinese University of Hong Kong
Yunhao Liu
Yunhao Liu Tsinghua University
George Kollios
George Kollios Boston University
Jun Yang
Jun Yang Duke University
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Zimu Zhou
Zimu Zhou City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens up a range of study options and future careers, especially with the flexibility of online education. Many students now consider a computer science degree online for accelerated learning and the opportunity to balance studies with work or family.

If you’re concerned about your academic history, there are also reputable college that accepts low gpa options offering pathways into computer science and related fields. This makes a career in tech more accessible regardless of past grades.

Computer science skills can be applied in many industries, including environmental fields. Curious about cross-disciplinary careers? Learn what can you do with an environmental science degree, as tech expertise is increasingly valuable in environmental monitoring, data analysis, and sustainability projects.

Additionally, consider a growing sector like environmental engineering by exploring environmental engineering online degree programs. These degrees blend computing, engineering, and science to create in-demand career opportunities with a focus on affordability and flexibility.

Best Scientists Citing Ke Yi

Trending Scientists