World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4003
World Ranking
14082
National Ranking
1701

Overview

Yiping Ke is affiliated with the Chinese University of Hong Kong in China and specializes primarily in Computer Science. Within this broad domain, their research focuses on subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Electrical and Electronic Engineering, and Materials Chemistry.

The main research topics addressed by Yiping Ke involve Advanced Graph Neural Networks, Domain Adaptation and Few-Shot Learning, Functional Brain Connectivity Studies, Multimodal Machine Learning Applications, EEG and Brain-Computer Interfaces, Topic Modeling, and Graph Theory and Algorithms.

Yiping Ke has contributed publications to several venues, notably including:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Cybernetics
  • Solar Energy

Some recent papers authored or coauthored by Yiping Ke are:

  • Contrastive Graph Pooling for Explainable Classification of Brain Networks, 2024, IEEE Transactions on Medical Imaging
  • Subdomain Adaptation With Manifolds Discrepancy Alignment, 2021, IEEE Transactions on Cybernetics
  • Influence of rear surface pyramid base microstructure on industrial n-TOPCon solar cell performances, 2022, Solar Energy
  • Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include Mengcheng Lan, Litong Feng, Jiaxing Xu, Qingtian Bian, and Pengfei Wei, reflecting sustained work with these researchers on topics aligned with Yiping Ke's focus.

Best Publications

  • A model-based approach to attributed graph clustering

    Zhiqiang Xu;Yiping Ke;Yi Wang;Hong Cheng

  • Fg-index: towards verification-free query processing on graph databases

    James Cheng;Yiping Ke;Wilfred Ng;An Lu

  • Path problems in temporal graphs

    Huanhuan Wu;James Cheng;Silu Huang;Yiping Ke

  • Efficient core decomposition in massive networks

    James Cheng;Yiping Ke;Shumo Chu;M. Tamer Ozsu

  • A survey on algorithms for mining frequent itemsets over data streams

    James Cheng;Yiping Ke;Wilfred Ng

  • Finding maximal cliques in massive networks

    James Cheng;Yiping Ke;Ada Wai-Chee Fu;Jeffrey Xu Yu

  • Fast algorithms for maximal clique enumeration with limited memory

    James Cheng;Linhong Zhu;Yiping Ke;Shumo Chu

  • High efficiency and quality: large graphs matching

    Yuanyuan Zhu;Lu Qin;Jeffrey Xu Yu;Yiping Ke

  • Finding maximal cliques in massive networks by H*-graph

    James Cheng;Yiping Ke;Ada Wai-Chee Fu;Jeffrey Xu Yu

  • Efficient Algorithms for Temporal Path Computation

    Huanhuan Wu;James Cheng;Yiping Ke;Silu Huang

  • Reachability and time-based path queries in temporal graphs

    Huanhuan Wu;Yuzhen Huang;James Cheng;Jinfeng Li

  • Efficient query processing on graph databases

    James Cheng;Yiping Ke;Wilfred Ng

  • Efficient processing of distance queries in large graphs: a vertex cover approach

    James Cheng;Yiping Ke;Shumo Chu;Carter Cheng

  • Core decomposition in large temporal graphs

    Huanhuan Wu;James Cheng;Yi Lu;Yiping Ke

  • GBAGC: A General Bayesian Framework for Attributed Graph Clustering

    Zhiqiang Xu;Yiping Ke;Yi Wang;Hong Cheng

  • Fast graph query processing with a low-cost index

    James Cheng;Yiping Ke;Ada Wai-Chee Fu;Jeffrey Xu Yu

  • Correlation search in graph databases

    Yiping Ke;James Cheng;Wilfred Ng

  • Context-Aware Object Connection Discovery in Large Graphs

    James Cheng;Yiping Ke;Wilfred Ng;Jeffrey Xu Yu

  • Maintaining frequent closed itemsets over a sliding window

    James Cheng;Yiping Ke;Wilfred Ng

  • Mining quantitative correlated patterns using an information-theoretic approach

    Yiping Ke;James Cheng;Wilfred Ng

Frequent Co-Authors

James Cheng
James Cheng Chinese University of Hong Kong
Wilfred Ng
Wilfred Ng Hong Kong University of Science and Technology
Jeffrey Xu Yu
Jeffrey Xu Yu Chinese University of Hong Kong
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Ada Wai-Chee Fu
Ada Wai-Chee Fu Chinese University of Hong Kong
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Hong Cheng
Hong Cheng Chinese University of Hong Kong
Sinno Jialin Pan
Sinno Jialin Pan Chinese University of Hong Kong

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