World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
19434
World Ranking
2075
National Ranking
286

Research.com Recognitions

  • 2009 - IEEE Fellow For contributions to the design of advanced variable speed drive systems for appliances

Overview

Zheng Zhang is affiliated with New York University Shanghai in China, focusing their research primarily within the domain of computer science. Their body of work spans topics related to computer vision, pattern recognition, and artificial intelligence, supported by a considerable number of publications.

The scientist has contributed to several key areas of research, including:

  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques
  • Face and Expression Recognition

Within the subfields of study, they have focused on:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Electrical and Electronic Engineering
  • Biomedical Engineering

Zhang's recent published papers include the following:

  • Swin Transformer: Hierarchical Vision Transformer using Shifted Windows, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Swin Transformer V2: Scaling Up Capacity and Resolution, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Video Swin Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Feature-based molecular networking in the GNPS analysis environment, 2020, Nature Methods
  • SimMIM: a Simple Framework for Masked Image Modeling, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent coauthors in Zheng Zhang's research include:

  • Guangming Lu
  • Lei Zhu
  • Jingjing Li
  • Han Hu
  • Yue Cao

Regarding publication venues, Zhang has contributed extensively to:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

In the area of book publications, Zhang has authored:

  • Dynamic Graph Learning for Dimension Reduction and Data Clustering, 2023, published by Morgan & Claypool Publishers

Zheng Zhang was recognized as an IEEE Fellow in 2009 for contributions to the design of advanced variable speed drive systems for appliances.

Best Publications

  • MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

    Tianqi Chen;Mu Li;Yutian Li;Min Lin

  • A Survey of Sparse Representation: Algorithms and Applications

    Zheng Zhang;Yong Xu;Jian Yang;Xuelong Li

  • The application of two-level attention models in deep convolutional neural network for fine-grained image classification

    Tianjun Xiao;Yichong Xu;Kuiyuan Yang;Jiaxing Zhang

  • Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

    Minjie Wang;Da Zheng;Zihao Ye;Quan Gan

  • Multi-oriented Text Detection with Fully Convolutional Networks

    Zheng Zhang;Chengquan Zhang;Wei Shen;Cong Yao

  • Corey: an operating system for many cores

    Silas Boyd-Wickizer;Haibo Chen;Rong Chen;Yandong Mao

  • Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs

    Minjie Wang;Lingfan Yu;Da Zheng;Quan Gan

  • Strider: a black-box, state-based approach to change and configuration management and support

    Yi-Min Wang;Chad Verbowski;John Dunagan;Yu Chen

  • ReVive: cost-effective architectural support for rollback recovery in shared-memory multiprocessors

    Milos Prvulovic;Zheng Zhang;Josep Torrellas

  • Symmetry-based text line detection in natural scenes

    Zheng Zhang;Wei Shen;Cong Yao;Xiang Bai

  • A Unified Generative Framework for Aspect-based Sentiment Analysis

    Hang Yan;Junqi Dai;Tuo Ji;Xipeng Qiu

  • Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification

    Tianjun Xiao;Jiaxing Zhang;Kuiyuan Yang;Yuxin Peng

  • Building topology-aware overlays using global soft-state

    Zhichen Xu;Chunqiang Tang;Zheng Zhang

  • Multiple Granularity Descriptors for Fine-Grained Categorization

    Dequan Wang;Zhiqiang Shen;Jie Shao;Wei Zhang

  • Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement

    Yong Xu;Jie Wen;Lunke Fei;Zheng Zhang

  • TimeStream: reliable stream computation in the cloud

    Zhengping Qian;Yong He;Chunzhi Su;Zhuojie Wu

  • A Unified Generative Framework for Various NER Subtasks

    Hang Yan;Tao Gui;Junqi Dai;Qipeng Guo

  • System and method for a distributed object store

    Zheng Zhang;Wei Chen;Yu Chen;Chao Jin

  • An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System

    Qiao Lian;Zheng Zhang;Mao Yang;B.Y. Zhao

  • R2: an application-level kernel for record and replay

    Zhenyu Guo;Xi Wang;Jian Tang;Xuezheng Liu

  • Star-Transformer

    Qipeng Guo;Xipeng Qiu;Pengfei Liu;Yunfan Shao

Frequent Co-Authors

Xipeng Qiu
Xipeng Qiu Fudan University
Xiangyang Xue
Xiangyang Xue Fudan University
George Karypis
George Karypis University of Minnesota
Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Yi-Min Wang
Yi-Min Wang Microsoft (United States)
Kyunghyun Cho
Kyunghyun Cho New York University
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Lidong Zhou
Lidong Zhou Microsoft (United States)
Hai Jin
Hai Jin Huazhong University of Science and Technology
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a Computer Science degree opens the door to numerous online study and career options. If you’re interested in how technology interacts with the world around us, you might consider what can you do with an environmental science major. This path blends computing skills with a passion for sustainability and environmental solutions.

For students eager to fast-track their education, an accelerated computer science degree offers a way to complete a respected program in less time than traditional options, helping you launch your tech career sooner.

Those looking to branch into engineering can explore the environmental engineering degree, which equips graduates to solve real-world problems at the intersection of technology and the environment. Mechanical engineering is another in-demand path, and a mechanical engineering degree online cost can offer flexibility and affordability for students balancing other commitments.

Each of these degrees connects with diverse career pathways, and many universities offer online and accelerated programs, making it easier than ever to find a study option that suits your goals and lifestyle.

Best Scientists Citing Zheng Zhang

Trending Scientists

Recently Published Articles