World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5264
World Ranking
10843
National Ranking
1340

Overview

Wilfred Ng is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily focuses on computer science with significant contributions to artificial intelligence, computer vision and pattern recognition, molecular biology, information systems, and management science and operations research.

The scientist's work encompasses several main topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Text and Document Classification Technologies
  • Data Quality and Management
  • Gene expression and cancer classification

Wilfred Ng has co-authored numerous research papers with frequent collaborators such as Yangqiu Song, Changlong Yu, Hongming Zhang, and Huan Zhao.

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • ACM Transactions on Database Systems
  • Findings of the Association for Computational Linguistics: ACL 2022

Some of the recent papers authored or co-authored by Wilfred Ng include:

  • Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations (2020), published on arXiv (Cornell University)
  • An Effective Biclustering-Based Framework for Identifying Cell Subpopulations From scRNA-seq Data (2020), published in IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods (2022), published in ACM Transactions on Database Systems
  • CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations (2022), published in Findings of the Association for Computational Linguistics: ACL 2022

Best Publications

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

    James Cheng;Yiping Ke;Wilfred Ng;An Lu

  • Blogel: a block-centric framework for distributed computation on real-world graphs

    Da Yan;James Cheng;Yi Lu;Wilfred Ng

  • Locality-sensitive hashing scheme based on dynamic collision counting

    Junhao Gan;Jianlin Feng;Qiong Fang;Wilfred Ng

  • Personalized Concept-Based Clustering of Search Engine Queries

    K.W.-T. Leung;W. Ng;Dik Lun Lee

  • Query-aware locality-sensitive hashing for approximate nearest neighbor search

    Qiang Huang;Jianlin Feng;Yikai Zhang;Qiong Fang

  • Expert Finding for Question Answering via Graph Regularized Matrix Completion

    Zhou Zhao;Lijun Zhang;Xiaofei He;Wilfred Ng

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

    James Cheng;Yiping Ke;Wilfred Ng

  • SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

    Fuyu Lv;Taiwei Jin;Changlong Yu;Fei Sun

  • Xqzip: Querying compressed XML using structural indexing

    James Cheng;Wilfred Ng

  • Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation

    Da Yan;James Cheng;Yi Lu;Wilfred Ng

  • Vague sets or intuitionistic fuzzy sets for handling vague data: Which one is better?

    An Lu;Wilfred Ng

  • Pregel algorithms for graph connectivity problems with performance guarantees

    Da Yan;James Cheng;Kai Xing;Yi Lu

  • Efficient query processing on graph databases

    James Cheng;Yiping Ke;Wilfred Ng

  • Comparative Analysis of XML Compression Technologies

    Wilfred Ng;Wai-Yeung Lam;James Cheng

  • Graph Regularized Feature Selection with Data Reconstruction

    Zhou Zhao;Xiaofei He;Deng Cai;Lijun Zhang

  • Mining User preference using Spy voting for search engine personalization

    Wilfred Ng;Lin Deng;Dik Lun Lee

  • XCQ: A queriable XML compression system

    Wilfred Ng;Wai-Yeung Lam;Peter T. Wood;Mark Levene

  • Applying co-training to clickthrough data for search engine adaptation

    Qingzhao Tan;Xiaoyong Chai;Wilfred Ng;Dik Lun Lee

  • Truth Discovery in Data Streams: A Single-Pass Probabilistic Approach

    Zhou Zhao;James Cheng;Wilfred Ng

  • Correlation search in graph databases

    Yiping Ke;James Cheng;Wilfred Ng

Frequent Co-Authors

James Cheng
James Cheng Chinese University of Hong Kong
Zhou Zhao
Zhou Zhao Zhejiang University
Yiping Ke
Yiping Ke Chinese University of Hong Kong
Dik Lun Lee
Dik Lun Lee Hong Kong University of Science and Technology
Mark Levene
Mark Levene Birkbeck, University of London
Aoying Zhou
Aoying Zhou East China Normal University
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Juan Trujillo
Juan Trujillo University of Alicante
M. Tamer Özsu
M. Tamer Özsu University of Waterloo
Kun Xu
Kun Xu Beijing University of Posts and Telecommunications

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