World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10574
World Ranking
7447
National Ranking
981

Overview

Yunming Ye is affiliated with the Harbin Institute of Technology in China and has a significant body of work in computer science, with a focus on artificial intelligence, computer vision and pattern recognition, and atmospheric science.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Atmospheric Science
  • Media Technology
  • Electrical and Electronic Engineering

Ye has contributed to main topics such as:

  • Domain Adaptation and Few-Shot Learning
  • Meteorological Phenomena and Simulations
  • Remote-Sensing Image Classification
  • Precipitation Measurement and Analysis
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Flood Risk Assessment and Management

Their publications are primarily found in these venues:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • SSRN Electronic Journal
  • Pattern Recognition

Notable recent papers include:

  • "Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting," 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis," 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation," 2021, Remote Sensing
  • "Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification," 2020, Remote Sensing

Ye collaborates frequently with several coauthors who contribute across different aspects of their research. Prominent collaborators include:

  • Xutao Li
  • Baoquan Zhang
  • Shanshan Feng
  • Chuyao Luo
  • Bowen Zhang

The diversity of coauthors and publication venues reflects a broad interdisciplinary approach integrating machine learning techniques with remote sensing, meteorology, and multimedia technologies.

Best Publications

  • DeepFM: a factorization-machine based neural network for CTR prediction

    Huifeng Guo;Ruiming Tang;Yunming Ye;Zhenguo Li

  • DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

    Huifeng Guo;Ruiming Tang;Yunming Ye;Zhenguo Li

  • Hyperspectral Image Classification With Deep Learning Models

    Xiaofei Yang;Yunming Ye;Xutao Li;Raymond Y. K. Lau

  • Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval

    Unknown

  • Security Issues and Challenges for Cyber Physical System

    Eric Ke Wang;Yunming Ye;Xiaofei Xu;S. M. Yiu

  • Stratified sampling for feature subspace selection in random forests for high dimensional data

    Yunming Ye;Qingyao Wu;Joshua Zhexue Huang;Michael K. Ng

  • Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net

    Xiaofei Yang;Xutao Li;Yunming Ye;Raymond Y. K. Lau

  • TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data

    Xiaojun Chen;Xiaofei Xu;J. Z. Huang;Yunming Ye

  • A feature group weighting method for subspace clustering of high-dimensional data

    Xiaojun Chen;Yunming Ye;Xiaofei Xu;Joshua Zhexue Huang

  • Time series k-means

    Xiaohui Huang;Yunming Ye;Liyan Xiong;Raymond Y.K. Lau

  • Prototype Completion with Primitive Knowledge for Few-Shot Learning

    Baoquan Zhang;Xutao Li;Yunming Ye;Zhichao Huang

  • ForesTexter: An efficient random forest algorithm for imbalanced text categorization

    Qingyao Wu;Yunming Ye;Haijun Zhang;Michael K. Ng

  • MultiRank: co-ranking for objects and relations in multi-relational data

    Michaek Kwok-Po Ng;Xutao Li;Yunming Ye

  • Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting

    Xutao Li;Yunming Ye;Xiaofei Xu

  • Extensions of kmeans-type algorithms: a new clustering framework by integrating intracluster compactness and intercluster separation.

    Xiaohui Huang;Yunming Ye;Haijun Zhang

  • MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation

    Xutao Li;Michael K. Ng;Gao Cong;Yunming Ye

  • A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media

    Raymond Y. K. Lau;Yunqing Xia;Yunming Ye

  • A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting

    Lin Tian;Xutao Li;Yunming Ye;Pengfei Xie

  • Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces

    Unknown

  • PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting

    Chuyao Luo;Xutao Li;Yunming Ye

  • Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge

    Bowen Zhang;Min Yang;Xutao Li;Yunming Ye

  • MultiComm: Finding Community Structurein Multi-Dimensional Networks

    Xutao Li;Michael K. Ng;Yunming Ye

  • Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.

    Feng Liu;Ruiming Tang;Xutao Li;Yunming Ye

  • HAR: Hub, authority and relevance scores in multi-relational data for query search

    Xutao Li;Michael K. Ng;Yunming Ye

Frequent Co-Authors

Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Xiuqiang He
Xiuqiang He Huawei Technologies (China)
Raymond Y. K. Lau
Raymond Y. K. Lau City University of Hong Kong
Yu Zhang
Yu Zhang Southern University of Science and Technology
Zhenguo Li
Zhenguo Li Huawei Technologies (China)
Shuigeng Zhou
Shuigeng Zhou Fudan University
Joshua Zhexue Huang
Joshua Zhexue Huang Shenzhen University
Siu-Ming Yiu
Siu-Ming Yiu University of Hong Kong
Xiaowen Chu
Xiaowen Chu Hong Kong Baptist University
Jiuyong Li
Jiuyong Li University of South Australia

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

As demand for technology professionals continues to grow, students are exploring a variety of online study options. Pursuing a computer science education in the USA often opens the door to several related degrees and flexible career pathways.

Many prospective students ask, can you get a physics degree online? The answer is yes—many reputable universities provide affordable and accredited online physics programs, enabling students to master core concepts remotely.

Another popular field is data science, where securing a data scientist degree online can lead to high-demand roles in analytics, machine learning, and artificial intelligence.

For those interested in engineering, numerous online electrical engineering courses USA allow students to gain practical engineering skills from anywhere, with several programs emphasizing up-to-date technology and hands-on learning.

Additionally, if you’re looking for quicker entry into the workforce, there are a range of short certificate programs that pay well. These programs are a smart choice for building specialized skills without a long-term commitment.

Choosing the right pathway depends on your career goals, time commitment, and learning preferences. The flexibility of online degrees and certificates makes computing and STEM education more accessible than ever before.

Best Scientists Citing Yunming Ye

Trending Scientists