World's Best Scientists 2026 revealed!
Award Badge
Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
110
Citations
81590
World Ranking
221
National Ranking
123

Research.com Recognitions

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2005 - IEEE Fellow For contributions to statistical acoustic-phonetic methods for speech processing.
  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Li Deng is affiliated with Citadel in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research output includes over fifty publications primarily within the domain of computer science, with additional work spanning subfields such as artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, biomedical engineering, as well as sociology and political science.

The main topics addressed in Li Deng's research encompass:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Metaheuristic Optimization Algorithms Research
  • Imbalanced Data Classification Techniques
  • Electricity Theft Detection Techniques
  • Evolutionary Algorithms and Applications
  • Face and Expression Recognition

Li Deng's publication venues show a preference for high-impact forums, including:

  • arXiv (Cornell University)
  • Swarm and Evolutionary Computation
  • Expert Systems with Applications
  • Electronic Research Archive
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Their recent notable papers include:

  • "Rule Learning over Knowledge Graphs: A Review" (2023), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Analysis of Points of Interests Recommended for Leisure Walk Descriptions" (2025), published in arXiv (Cornell University)
  • "Multimodal Intelligence: Representation Learning, Information Fusion, and Applications" (2020), published in the IEEE Journal of Selected Topics in Signal Processing
  • "Harnessing the power of artificial intelligence to transform hearing healthcare and research" (2021), published in Nature Machine Intelligence
  • "Imbalanced Data Classification Based on Improved Random-SMOTE and Feature Standard Deviation" (2024), published in Mathematics

Collaborations are evident in Li Deng's work, with frequent co-authorship involving researchers such as Bo Wei, Ying Zhang, Jin Xiao, Shanshan Yang, and Yanrong Huang. These collaborations highlight a network of peers contributing to overlapping or complementary research topics.

Li Deng has been recognized through several professional distinctions, including being named an IEEE Fellow in 2005 for contributions to statistical acoustic-phonetic methods for speech processing and a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

    G. Hinton;Li Deng;Dong Yu;G. E. Dahl

  • The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

    Li Deng

  • Deep Learning: Methods and Applications

    Li Deng;Dong Yu

  • Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

    G. E. Dahl;Dong Yu;Li Deng;A. Acero

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition

    Geoffrey Hinton;Li Deng;Dong Yu;George Dahl

  • Convolutional neural networks for speech recognition

    Ossama Abdel-Hamid;Abdel-Rahman Mohamed;Hui Jiang;Li Deng

  • Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Bishan Yang;Wen-tau Yih;Xiaodong He;Jianfeng Gao

  • Stacked Attention Networks for Image Question Answering

    Zichao Yang;Xiaodong He;Jianfeng Gao;Li Deng

  • Learning deep structured semantic models for web search using clickthrough data

    Po-Sen Huang;Xiaodong He;Jianfeng Gao;Li Deng

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • New types of deep neural network learning for speech recognition and related applications: an overview

    Li Deng;Geoffrey Hinton;Brian Kingsbury

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

    Payal Bajaj;Daniel Campos;Nick Craswell;Li Deng

  • Deep sentence embedding using long short-term memory networks: analysis and application to information retrieval

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • A tutorial survey of architectures, algorithms, and applications for deep learning

    Li Deng

  • The MNIST Database of Handwritten Digit Images for Machine Learning Research

    Li Deng

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

    Tri Nguyen;Mir Rosenberg;Xia Song;Jianfeng Gao

  • Learning semantic representations using convolutional neural networks for web search

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

    Jui-Ting Huang;Jinyu Li;Dong Yu;Li Deng

  • The shared views of four research groups )

    Geoffrey Hinton;Li Deng;Dong Yu;George E. Dahl

Frequent Co-Authors

Dong Yu
Dong Yu Tencent (China)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Yifan Gong
Yifan Gong Microsoft (United States)
Jasha Droppo
Jasha Droppo Amazon (United States)
Jinyu Li
Jinyu Li Microsoft (United States)
Lihong Li
Lihong Li Amazon (United States)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Frank Seide
Frank Seide Microsoft (United States)

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 online degrees in Computer Science and related fields can open new doors—both academically and professionally. For those seeking advanced credentials, the cheapest phd programs offer a budget-friendly route to the highest level of study in tech and research.

If speed is a priority, there are also 1 year edd programs online, allowing you to earn a doctoral-level credential in education policy, tech leadership, or instructional design within just 12 months.

Looking for a quicker entry to the job market? An accelerated associates degree online can give you essential skills for IT support, web development, or software testing in as little as six months.

Finally, many prospective students consider how much does it cost to get a business degree online for broader career flexibility in management, tech entrepreneurship, and business analysis.

Whether you want to advance quickly, save money, or pivot your career, the right online degree pathway can help you achieve your professional goals.

Best Scientists Citing Li Deng

Trending Scientists

Recently Published Articles