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Computer Science

D-Index
52
Citations
11291
World Ranking
5064
National Ranking
686

Overview

Reynold Cheng is affiliated with the University of Hong Kong in China and has conducted extensive research primarily in the fields of Computer Science and Engineering. Their work is largely focused on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Transportation, Building and Construction, and Information Systems.

Their research topics cover a range of specialized areas including:

  • Advanced Graph Neural Networks
  • Traffic Prediction and Management Techniques
  • Complex Network Analysis Techniques
  • Data Management and Algorithms
  • Graph Theory and Algorithms
  • Human Mobility and Location-Based Analysis
  • COVID-19 epidemiological studies

Reynold Cheng has published in several venues, with frequent publications in:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Knowledge and Data Engineering
  • SSRN Electronic Journal
  • Advanced Therapeutics

Among their recent papers are:

  • Changes in local travel behaviour before and during the COVID-19 pandemic in Hong Kong (2021), published in Cities
  • Effects of Human Behavior Changes During the Coronavirus Disease 2019 (COVID-19) Pandemic on Influenza Spread in Hong Kong (2020), published in Clinical Infectious Diseases
  • Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs (2023), published in arXiv (Cornell University)
  • Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • DeepTEA (2022), published in Proceedings of the VLDB Endowment

Reynold Cheng has collaborated frequently with co-authors including Chenhao Ma, Laks V. S. Lakshmanan, Jinyang Li, Bowen Qin, and Nan Huo. The volume of these collaborations highlights sustained joint research efforts over multiple projects.

Best Publications

  • Evaluating probabilistic queries over imprecise data

    Reynold Cheng;Dmitri V. Kalashnikov;Sunil Prabhakar

  • Querying imprecise data in moving object environments

    R. Cheng;D.V. Kalashnikov;S. Prabhakar

  • Truth inference in crowdsourcing: is the problem solved?

    Yudian Zheng;Guoliang Li;Yuanbing Li;Caihua Shan

  • Preserving user location privacy in mobile data management infrastructures

    Reynold Cheng;Yu Zhang;Elisa Bertino;Sunil Prabhakar

  • Indexing multi-dimensional uncertain data with arbitrary probability density functions

    Yufei Tao;Reynold Cheng;Xiaokui Xiao;Wang Kay Ngai

  • Efficient indexing methods for probabilistic threshold queries over uncertain data

    Reynold Cheng;Yuni Xia;Sunil Prabhakar;Rahul Shah

  • Efficient Clustering of Uncertain Data

    Wang Ngai;Ben Kao;Chun Chui;Reynold Cheng

  • Effective community search for large attributed graphs

    Yixiang Fang;Reynold Cheng;Siqiang Luo;Jiafeng Hu

  • A survey of community search over big graphs

    Yixiang Fang;Xin Huang;Lu Qin;Ying Zhang

  • Uncertain data mining: an example in clustering location data

    Michael Chau;Reynold Cheng;Ben Kao;Jackey Ng

  • Naive Bayes Classification of Uncertain Data

    Jiangtao Ren;Sau Dan Lee;Xianlu Chen;Ben Kao

  • QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications

    Yudian Zheng;Jiannan Wang;Guoliang Li;Reynold Cheng

  • Range search on multidimensional uncertain data

    Yufei Tao;Xiaokui Xiao;Reynold Cheng

  • Meta Structure: Computing Relevance in Large Heterogeneous Information Networks

    Zhipeng Huang;Yudian Zheng;Reynold Cheng;Yizhou Sun

  • Effective community search over large spatial graphs

    Yixiang Fang;Reynold Cheng;Xiaodong Li;Siqiang Luo

  • Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data

    R. Cheng;Jinchuan Chen;M. Mokbel;Chi-Yin Chow

  • Mining uncertain data with probabilistic guarantees

    Liwen Sun;Reynold Cheng;David W. Cheung;Jiefeng Cheng

  • Online Influence Maximization

    Siyu Lei;Silviu Maniu;Luyi Mo;Reynold Cheng

  • Efficient Evaluation of Imprecise Location-Dependent Queries

    Jinchuan Chen;R. Cheng

  • On querying historical evolving graph sequences

    Chenghui Ren;Eric Lo;Ben Kao;Xinjie Zhu

Frequent Co-Authors

Ben Kao
Ben Kao University of Hong Kong
Sunil Prabhakar
Sunil Prabhakar Purdue University West Lafayette
Nikos Mamoulis
Nikos Mamoulis University of Ioannina
David W. Cheung
David W. Cheung University of Hong Kong
Man Lung Yiu
Man Lung Yiu Hong Kong Polytechnic University
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Michael Chau
Michael Chau University of Hong Kong
Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Yuguo Li
Yuguo Li University of Hong Kong
Wenjie Zhang
Wenjie Zhang University of New South Wales

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