World's Best Scientists 2026 revealed!
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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
87
Citations
31801
World Ranking
721
National Ranking
108

Research.com Recognitions

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Hongyuan Zha is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research primarily lies within the field of Computer Science, with a substantial focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems, and Applied Mathematics.

The scientist's work covers several specialized topics including Reinforcement Learning in Robotics, Advanced Graph Neural Networks, Model Reduction and Neural Networks, Adversarial Robustness in Machine Learning, Topic Modeling, Domain Adaptation and Few-Shot Learning, and Generative Adversarial Networks and Image Synthesis.

Frequent co-authors collaborating with Hongyuan Zha include Xiangfeng Wang, Junchi Yan, Wenhao Li, Junjie Sheng, and Bo Jin. These collaborations reflect sustained research partnerships over numerous projects.

The researcher has contributed papers to various scholarly venues. Notable publication venues in their career are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers are:

  • "Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Modeling Event Propagation via Graph Biased Temporal Point Process" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Multi-Agent Path Finding with Prioritized Communication Learning" (2022), published in 2022 International Conference on Robotics and Automation (ICRA)
  • "Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction" (2020), published in IEEE Transactions on Knowledge and Data Engineering
  • "BackdoorBench: A Comprehensive Benchmark of Backdoor Learning" (2022), published in arXiv (Cornell University)

Best Publications

  • Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment

    Zhenyue Zhang;Hongyuan Zha

  • A min-max cut algorithm for graph partitioning and data clustering

    C.H.Q. Ding;Xiaofeng He;Xiaofeng He;Hongyuan Zha;Ming Gu

  • Spectral Relaxation for K-means Clustering

    Hongyuan Zha;Xiaofeng He;Chris Ding;Ming Gu

  • Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment

    Zhenyue Zhang;Hongyuan Zha

  • Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling

    Xiang Ji;Hongyuan Zha

  • R1-PCA: rotational invariant L 1 -norm principal component analysis for robust subspace factorization

    Chris Ding;Ding Zhou;Xiaofeng He;Hongyuan Zha

  • PageRank: HITS and a Unified Framework for Link Analysis.

    Chris H. Q. Ding;Xiaofeng He;Parry Husbands;Hongyuan Zha

  • Two supervised learning approaches for name disambiguation in author citations

    Hui Han;Lee Giles;Hongyuan Zha;Cheng Li

  • Sequential Recommendation with User Memory Networks

    Xu Chen;Hongteng Xu;Yongfeng Zhang;Jiaxi Tang

  • Like like alike: joint friendship and interest propagation in social networks

    Shuang-Hong Yang;Bo Long;Alex Smola;Narayanan Sadagopan

  • Bipartite graph partitioning and data clustering

    Hongyuan Zha;Xiaofeng He;Chris Ding;Horst Simon

  • Automatic document metadata extraction using support vector machines

    Hui Han;C.L. Giles;E. Manavoglu;Hongyuan Zha

  • Adaptive dimension reduction for clustering high dimensional data

    C. Ding;Xiaofeng He;Hongyuan Zha;H.D. Simon

  • Finding the right facts in the crowd: factoid question answering over social media

    Jiang Bian;Yandong Liu;Eugene Agichtein;Hongyuan Zha

  • Name disambiguation in author citations using a K-way spectral clustering method

    Hui Han;Hongyuan Zha;C.L. Giles

  • Adaptive Manifold Learning

    Zhenyue Zhang;Jing Wang;Hongyuan Zha

  • Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering

    Hongyuan Zha

  • Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes

    Ke Zhou;Hongyuan Zha;Le Song

  • Contour regression: A general approach to dimension reduction

    Bing Li;Hongyuan Zha;Francesca Chiaromonte

  • Functional matrix factorizations for cold-start recommendation

    Ke Zhou;Shuang-Hong Yang;Hongyuan Zha

  • DyRep: Learning Representations over Dynamic Graphs

    Rakshit Trivedi;Mehrdad Farajtabar;Prasenjeet Biswal;Hongyuan Zha

Frequent Co-Authors

Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Horst D. Simon
Horst D. Simon Lawrence Berkeley National Laboratory
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Ya Zhang
Ya Zhang Shanghai Jiao Tong University
C. Lee Giles
C. Lee Giles Pennsylvania State University
Yi Chang
Yi Chang Jilin University
Manuel Gomez-Rodriguez
Manuel Gomez-Rodriguez Max Planck Institute for Software Systems
Gui-Rong Xue
Gui-Rong Xue Alibaba Group (China)

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