World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
21260
World Ranking
1770
National Ranking
243

Overview

Min Zhang is affiliated with Tsinghua University in China and has contributed extensively to research in computer science, engineering, and environmental science. Their work prominently intersects the domains of artificial intelligence, computer vision, and environmental engineering.

The main fields of study for Min Zhang include:

  • Computer Science
  • Engineering
  • Environmental Science

Their research encompasses several key subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Environmental Engineering
  • Global and Planetary Change

Min Zhang has addressed a variety of topics, notably:

  • Remote-Sensing Image Classification
  • Landslides and related hazards
  • Topic Modeling
  • Natural Language Processing Techniques
  • Remote Sensing and Land Use
  • Flood Risk Assessment and Management
  • Advanced Image and Video Retrieval Techniques

Their recent papers reflect a strong focus on remote sensing and artificial intelligence applications in environmental monitoring and hazard analysis. These papers include:

  • A Feature Difference Convolutional Neural Network-Based Change Detection Method (2020, IEEE Transactions on Geoscience and Remote Sensing)
  • Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges (2020, Remote Sensing)
  • Landslide Recognition by Deep Convolutional Neural Network and Change Detection (2020, IEEE Transactions on Geoscience and Remote Sensing)
  • Application of power ultrasound in freezing and thawing Processes: Effect on process efficiency and product quality (2020, Ultrasonics Sonochemistry)
  • Environmental impact evaluation of an iron and steel plant in China: Normalized data and direct/indirect contribution (2020, Journal of Cleaner Production)

Min Zhang frequently collaborates with several researchers, including:

  • Wenzhong Shi
  • Lukang Wang
  • Meishan Zhang
  • Shanxiong Chen
  • Zhao Zhan

The scientist's publications appear in notable venues such as:

  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • SSRN Electronic Journal
  • IEEE Transactions on Geoscience and Remote Sensing

This profile delineates a research career emphasizing AI-driven change detection, environmental monitoring, and the application of deep learning to geoscience challenges.

Best Publications

  • Exploring Various Knowledge in Relation Extraction

    GuoDong Zhou;Jian Su;Jie Zhang;Min Zhang

  • Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

    Yongfeng Zhang;Guokun Lai;Min Zhang;Yi Zhang

  • Neural Attentional Rating Regression with Review-level Explanations

    Chong Chen;Min Zhang;Yiqun Liu;Shaoping Ma

  • Reviewer bias in single- versus double-blind peer review

    Andrew Tomkins;Min Zhang;William D. Heavlin

  • LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

    Yang Xu;Yiheng Xu;Tengchao Lv;Lei Cui

  • A Phrase-Based Statistical Model for SMS Text Normalization

    AiTi Aw;Min Zhang;Juan Xiao;Jian Su

  • A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features

    Min Zhang;Jie Zhang;Jian Su;GuoDong Zhou

  • R-Drop: Regularized Dropout for Neural Networks

    xiaobo liang;Lijun Wu;Juntao Li;Yue Wang

  • A Joint Source-Channel Model for Machine Transliteration

    Haizhou Li;Min Zhang;Jian Su

  • Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information

    GuoDong Zhou;Min Zhang;DongHong Ji;QiaoMing Zhu

  • Improving the Transformer Translation Model with Document-Level Context.

    Jiacheng Zhang;Huanbo Luan;Maosong Sun;Feifei Zhai

  • How good your recommender system is? A survey on evaluations in recommendation

    Thiago Silveira;Min Zhang;Xiao Lin;Yiqun Liu

  • Optimizing Dense Retrieval Model Training with Hard Negatives

    Jingtao Zhan;Jiaxin Mao;Yiqun Liu;Jiafeng Guo

  • Variational Neural Machine Translation

    Biao Zhang;Deyi Xiong;Jinsong Su;Hong Duan

  • Fast and Accurate Shift-Reduce Constituent Parsing

    Muhua Zhu;Yue Zhang;Wenliang Chen;Min Zhang

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Weizhi Ma;Min Zhang;Yue Cao;Woojeong Jin

  • Efficient Neural Matrix Factorization without Sampling for Recommendation

    Chong Chen;Min Zhang;Yongfeng Zhang;Yiqun Liu

  • Graph Heterogeneous Multi-Relational Recommendation

    Chong Chen;Weizhi Ma;Min Zhang;Zhaowei Wang

  • Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation

    Chong Chen;Min Zhang;Yongfeng Zhang;Weizhi Ma

  • Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier

    Zhao Zhang;Weiming Jiang;Jie Qin;Li Zhang

  • Rating-boosted latent topics: understanding users and items with ratings and reviews

    Yunzhi Tan;Min Zhang;Yiqun Liu;Shaoping Ma

  • Proceedings of the Tenth ACM International Conference on Web Search and Data Mining

    Maarten de Rijke;Milad Shokouhi;Andrew Tomkins;Min Zhang

  • Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

    Weizhi Ma;Min Zhang;Yue Cao;Woojeong

Frequent Co-Authors

Shaoping Ma
Shaoping Ma Tsinghua University
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Guodong Zhou
Guodong Zhou Soochow University
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Yue Zhang
Yue Zhang Westlake University
Chew Lim Tan
Chew Lim Tan National University of Singapore
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Luo Si
Luo Si Alibaba Group (China)
Jinsong Su
Jinsong Su Xiamen University
Maarten de Rijke
Maarten de Rijke University of Amsterdam

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