World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
45
Citations
14586
World Ranking
434
National Ranking
148

Computer Science

D-Index
45
Citations
16285
World Ranking
7002
National Ranking
936

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Duyu Tang is affiliated with Fudan University in China and has contributed extensively to the field of Computer Science with a focus on Artificial Intelligence. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, and Software.

The scientist's prominent topics of work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Software Engineering Research
  • Text Readability and Simplification
  • Advanced Graph Neural Networks
  • Software Testing and Debugging Techniques

Duyu Tang has frequently published in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Nature Machine Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)

Some recent papers by Duyu Tang include:

  • scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data (2022), published in Nature Machine Intelligence
  • CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021), published in arXiv (Cornell University)
  • CodeBERT: A Pre-Trained Model for Programming and Natural Languages (2020), published in arXiv (Cornell University)
  • CodeBLEU: a Method for Automatic Evaluation of Code Synthesis (2020), published in arXiv (Cornell University)
  • Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include Nan Duan, Xiaocheng Feng, Daxin Jiang, Ming Zhou, and Bing Qin. Their collaborations highlight a network of researchers involved in similar fields and joint projects.

Best Publications

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

    Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

  • Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

    Duyu Tang;Bing Qin;Ting Liu

  • Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

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

    Li Dong;Furu Wei;Chuanqi Tan;Duyu Tang

  • Aspect Level Sentiment Classification with Deep Memory Network

    Duyu Tang;Bing Qin;Ting Liu

  • Effective LSTMs for Target-Dependent Sentiment Classification

    Duyu Tang;Bing Qin;Xiaocheng Feng;Ting Liu

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

    Ruize Wang;Duyu Tang;Nan Duan;zhongyu wei

  • GraphCodeBERT: Pre-training Code Representations with Data Flow

    Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

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

    Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

  • Learning Semantic Representations of Users and Products for Document Level Sentiment Classification

    Duyu Tang;Bing Qin;Ting Liu

  • Sentiment Embeddings with Applications to Sentiment Analysis

    Duyu Tang;Furu Wei;Bing Qin;Nan Yang

  • Coooolll: A Deep Learning System for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Bing Qin;Ting Liu

  • Question Generation for Question Answering

    Nan Duan;Duyu Tang;Peng Chen;Ming Zhou

  • A language-independent neural network for event detection

    Xiaocheng Feng;Bing Qin;Ting Liu

  • A Language-Independent Neural Network for Event Detection.

    Xiaocheng Feng;Lifu Huang;Duyu Tang;Heng Ji

  • Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach

    Duyu Tang;Furu Wei;Bing Qin;Ming Zhou

  • Question Answering and Question Generation as Dual Tasks

    Duyu Tang;Nan Duan;Tao Qin;Zhao Yan

  • Modeling mention, context and entity with neural networks for entity disambiguation

    Yaming Sun;Lei Lin;Duyu Tang;Nan Yang

  • Deep learning for sentiment analysis: successful approaches and future challenges

    Duyu Tang;Bing Qin;Ting Liu

  • Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

    Shangwen Lv;Daya Guo;Jingjing Xu;Duyu Tang

  • CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

    Shuo Ren;Daya Guo;Shuai Lu;Long Zhou

Frequent Co-Authors

Nan Duan
Nan Duan Microsoft Research Asia (China)
Ming Zhou
Ming Zhou Langboat Technology
Bing Qin
Bing Qin Harbin Institute of Technology
Daxin Jiang
Daxin Jiang Microsoft (United States)
Ting Liu
Ting Liu Harbin Institute of Technology
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Furu Wei
Furu Wei Microsoft (United States)
Xuanjing Huang
Xuanjing Huang Fudan University
Zhoujun Li
Zhoujun Li Beihang University
Li Dong
Li Dong Microsoft (United States)

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