World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9264
World Ranking
9144
National Ranking
116

Overview

Vincent W. Zheng is affiliated with the Agency for Science, Technology and Research in Singapore. Their research spans the intersection of computer science and molecular biology, with particular emphasis on advanced computational methods and biological applications.

The scientist's main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these fields, their subfields of study focus on:

  • Artificial Intelligence
  • Molecular Biology
  • Statistical and Nonlinear Physics
  • Information Systems
  • Infectious Diseases

Vincent W. Zheng's research addresses a variety of topics, including:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Privacy-Preserving Technologies in Data
  • Recommender Systems and Techniques
  • Antimicrobial Resistance in Staphylococcus
  • Bacterial biofilms and quorum sensing
  • Bacterial Genetics and Biotechnology

Frequent publication venues for their work are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers of Computer Science
  • IEEE Transactions on Learning Technologies
  • Nucleic Acids Research

Frequent co-authors who have collaborated with Vincent W. Zheng include:

  • Dane Parker
  • Jeffrey M. Boyd
  • Gustavo Rios-Delgado
  • Javiera Norambuena
  • Ronan K. Carroll

Representative recent papers authored or co-authored by Vincent W. Zheng are:

  • "Adam revisited: a weighted past gradients perspective," 2020, Frontiers of Computer Science
  • "CMKT: Concept Map Driven Knowledge Tracing," 2022, IEEE Transactions on Learning Technologies
  • "Neighbor-Anchoring Adversarial Graph Neural Networks," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling," 2020, ACM Transactions on Knowledge Discovery from Data
  • "Privacy Threats Against Federated Matrix Factorization," 2020, arXiv (Cornell University)

Best Publications

  • A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

    Hongyun Cai;Vincent W. Zheng;Kevin Chen-Chuan Chang

  • Collaborative location and activity recommendations with GPS history data

    Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang

  • Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs

    Dingqi Yang;Daqing Zhang;Vincent W. Zheng;Zhiyong Yu

  • A Survey of Zero-Shot Learning: Settings, Methods, and Applications

    Wei Wang;Vincent W. Zheng;Han Yu;Chunyan Miao

  • Collaborative filtering meets mobile recommendation: a user-centered approach

    Vincent W. Zheng;Bin Cao;Yu Zheng;Xing Xie

  • Learning Community Embedding with Community Detection and Node Embedding on Graphs

    Sandro Cavallari;Vincent W. Zheng;Hongyun Cai;Kevin Chen-Chuan Chang

  • Towards mobile intelligence: Learning from GPS history data for collaborative recommendation

    Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang

  • KnowEdu: A System to Construct Knowledge Graph for Education

    Penghe Chen;Yu Lu;Vincent W. Zheng;Xiyang Chen

  • Topological Recurrent Neural Network for Diffusion Prediction

    Jia Wang;Vincent W. Zheng;Zemin Liu;Kevin Chen-Chuan Chang

  • Federated Recommendation Systems.

    Liu Yang;Ben Tan;Vincent W. Zheng;Kai Chen

  • Prerequisite-Driven Deep Knowledge Tracing

    Penghe Chen;Yu Lu;Vincent W. Zheng;Yang Pian

  • Estimating Location Using Wi-Fi

    Qiang Yang;Sinno Jialin Pan;Vincent Wenchen Zheng

  • Differentially Private Federated Knowledge Graphs Embedding

    Hao Peng;Haoran Li;Yangqiu Song;Vincent Zheng

  • Deep Transfer Learning for Cross-domain Activity Recognition

    Jindong Wang;Vincent W. Zheng;Yiqiang Chen;Meiyu Huang

  • Cross-domain activity recognition

    Vincent Wenchen Zheng;Derek Hao Hu;Qiang Yang

  • Transferring multi-device localization models using latent multi-task learning

    Vincent Wenchen Zheng;Sinno Jialin Pan;Qiang Yang;Jeffrey Junfeng Pan

  • Semantic proximity search on graphs with metagraph-based learning

    Yuan Fang;Wenqing Lin;Vincent W. Zheng;Min Wu

  • Abnormal activity recognition based on HDP-HMM models

    Derek Hao Hu;Xian-Xing Zhang;Jie Yin;Vincent Wenchen Zheng

  • Real world activity recognition with multiple goals

    Derek Hao Hu;Sinno Jialin Pan;Vincent Wenchen Zheng;Nathan Nan Liu

  • Cross-domain activity recognition via transfer learning

    Derek Hao Hu;Vincent Wenchen Zheng;Qiang Yang

  • CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction

    Defu Lian;Xing Xie;Vincent W. Zheng;Nicholas Jing Yuan

Frequent Co-Authors

Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Kevin Chen-Chuan Chang
Kevin Chen-Chuan Chang University of Illinois at Urbana-Champaign
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Enhong Chen
Enhong Chen University of Science and Technology of China
Zhou Zhao
Zhou Zhao Zhejiang University
Yu Zheng
Yu Zheng Jingdong (China)
Erik Cambria
Erik Cambria Nanyang Technological University
Sinno Jialin Pan
Sinno Jialin Pan Chinese University of Hong Kong
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Xing Xie
Xing Xie Microsoft Research Asia (China)

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