World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
106
Citations
45037
World Ranking
276
National Ranking
34

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Ming Zhou is affiliated with Langboat Technology in China and has contributed extensively to the field of computer science, with a focus on artificial intelligence, computer vision and pattern recognition, and related subfields. Their research covers a broad range of topics including topic modeling, natural language processing techniques, and multimodal machine learning applications.

Their recent papers demonstrate active engagement in advancing language models and machine learning. Notable publications include:

  • "Unified language model pre-training for natural language understanding and generation" (2024, arXiv (Cornell University))
  • "MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers" (2020, arXiv (Cornell University))
  • "UniXcoder: Unified Cross-Modal Pre-training for Code Representation" (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers))
  • "CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation" (2021, arXiv (Cornell University))
  • "Progress in Neural NLP: Modeling, Learning, and Reasoning" (2020, Engineering)

Ming Zhou frequently collaborates with other researchers in the field. Their most common coauthors include:

  • Nan Duan (42 joint publications)
  • Wanjun Zhong (16 joint publications)
  • Furu Wei (16 joint publications)
  • Duyu Tang (16 joint publications)
  • Daxin Jiang (14 joint publications)

Their work has been published predominantly in venues such as:

  • arXiv (Cornell University) with 60 publications
  • IEEE/ACM Transactions on Audio Speech and Language Processing (3 publications)
  • Proceedings of the AAAI Conference on Artificial Intelligence (2 publications)
  • Journal of Pathology Informatics (2 publications)
  • International Journal of Logistics Economics and Globalisation (2 publications)

Their research addresses several main topics within computer science, especially in natural language processing and machine learning, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Software Engineering Research
  • Advanced Text Analysis Techniques
  • Text Readability and Simplification
  • Advanced Image and Video Retrieval Techniques

Ming Zhou's scholarly contributions reflect a sustained focus on both foundational models and practical applications in artificial intelligence. Their career includes notable research advances in model pre-training, task-agnostic model compression, and cross-modal code representation.

Best Publications

  • CodeBERT: A Pre-Trained Model for Programming and Natural Languages

    Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

  • Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

  • Unified Language Model Pre-training for Natural Language Understanding and Generation

    Li Dong;Nan Yang;Wenhui Wang;Furu Wei

  • Target-dependent Twitter Sentiment Classification

    Long Jiang;Mo Yu;Ming Zhou;Xiaohua Liu

  • LayoutLM: Pre-training of Text and Layout for Document Image Understanding

    Yiheng Xu;Minghao Li;Lei Cui;Shaohan Huang

  • Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification

    Li Dong;Furu Wei;Chuanqi Tan;Duyu Tang

  • Gated Self-Matching Networks for Reading Comprehension and Question Answering

    Wenhui Wang;Nan Yang;Furu Wei;Baobao Chang

  • MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

    Wenhui Wang;Furu Wei;Li Dong;Hangbo Bao

  • Achieving Human Parity on Automatic Chinese to English News Translation

    Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

  • Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach

    Xiaolong Wang;Furu Wei;Xiaohua Liu;Ming Zhou

  • Recognizing Named Entities in Tweets

    Xiaohua Liu;Shaodian Zhang;Furu Wei;Ming Zhou

  • User-level sentiment analysis incorporating social networks

    Chenhao Tan;Lillian Lee;Jie Tang;Long Jiang

  • Low-Quality Product Review Detection in Opinion Summarization

    Jingjing Liu;Yunbo Cao;Chin-Yew Lin;Yalou Huang

  • Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots

    Yu Wu;Wei Wu;Chen Xing;Ming Zhou

  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    Ruize Wang;Duyu Tang;Nan Duan;zhongyu wei

  • Question Answering over Freebase with Multi-Column Convolutional Neural Networks

    Li Dong;Furu Wei;Ming Zhou;Ke Xu

  • Topic Aware Neural Response Generation

    Chen Xing;Wei Wu;Yu Wu;Jie Liu

  • GraphCodeBERT: Pre-training Code Representations with Data Flow

    Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

  • HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

    Xingxing Zhang;Furu Wei;Ming Zhou

  • CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

    Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

  • MIND: A Large-scale Dataset for News Recommendation

    Fangzhao Wu;Ying Qiao;Jiun-Hung Chen;Chuhan Wu

  • UniXcoder: Unified Cross-Modal Pre-training for Code Representation

    Unknown

  • Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training

    Gen Li;Nan Duan;Yuejian Fang;Ming Gong

Frequent Co-Authors

Furu Wei
Furu Wei Microsoft (United States)
Mu Li
Mu Li Amazon (United States)
Nan Duan
Nan Duan Microsoft Research Asia (China)
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Zhoujun Li
Zhoujun Li Beihang University
Yu Wu
Yu Wu Microsoft Research Asia (China)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Duyu Tang
Duyu Tang Fudan University
Li Dong
Li Dong Microsoft (United States)
Ting Liu
Ting Liu Harbin Institute of Technology

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 you consider studying Computer Science in the USA, it’s worth exploring flexible educational routes that can align with your career goals and busy schedule. For those interested in an efficient start to their careers, 3-month certificate programs that pay well offer skills-focused credentials that can lead to lucrative positions in tech support, cybersecurity, or data analysis—often with minimal time investment.

Planning to advance your education? Some of the quickest cheapest masters degree options are available online, helping you upskill and specialize in fields like software engineering or IT management without putting your career on hold. Likewise, reviewing the most valuable masters degrees can assist you in selecting programs that are in high demand and offer strong salary prospects.

If you’re just starting out, online associate degree programs provide foundational knowledge and can open doors to entry-level roles or further bachelor’s studies. Whichever path you choose, online degrees offer convenience, flexibility, and career-focused training tailored to the evolving tech landscape.

Best Scientists Citing Ming Zhou

Trending Scientists

Recently Published Articles