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

D-Index & Metrics

Computer Science

D-Index
88
Citations
57707
World Ranking
656
National Ranking
94

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
  • 2018 - IEEE Fellow For contributions to context-dependent automatic speech recognition
  • 2017 - ACM Distinguished Member

Overview

Dong Yu is affiliated with Tencent (China), contributing significantly to the field of computer science with a specialized focus on artificial intelligence and signal processing. Their work bridges multiple subfields including computer vision and pattern recognition, computational mechanics, and information systems.

Their research primarily centers on speech and audio processing, with emphases on speech recognition and synthesis, music and audio processing, as well as natural language processing techniques. Additionally, their investigations extend into topic modeling, speech and dialogue systems, and multimodal machine learning applications.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Interspeech 2022

Among their recent publications are:

  • "Diffsound: Discrete Diffusion Model for Text-to-Sound Generation" (2023) published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Multi-Modal Multi-Channel Target Speech Separation" (2020) published in IEEE Journal of Selected Topics in Signal Processing
  • "Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition" (2022) published in Computer Speech & Language
  • "Neural Target Speech Extraction: An overview" (2023) published in IEEE Signal Processing Magazine
  • "FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis" (2022) published in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Dong Yu has collaborated extensively with several researchers, including:

  • Dan Su
  • Meng Yu
  • Chao Weng
  • Linfeng Song
  • Shi-Xiong Zhang

Their contributions have been recognized within the field, notably with awards such as the IEEE Fellow designation in 2018 for work on context-dependent automatic speech recognition and the ACM Distinguished Member honor received in 2017.

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

  • 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

  • Conversational Speech Transcription Using Context-Dependent Deep Neural Networks.

    Frank Seide;Gang Li;Dong Yu

  • Recent advances in deep learning for speech research at Microsoft

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

  • 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs.

    Frank Seide;Hao Fu;Jasha Droppo;Gang Li

  • Speech emotion recognition using deep neural network and extreme learning machine.

    Kun Han;Dong Yu;Ivan Tashev

  • Permutation invariant training of deep models for speaker-independent multi-talker speech separation

    Dong Yu;Morten Kolbaek;Zheng-Hua Tan;Jesper Jensen

  • Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbaek;Dong Yu;Zheng-Hua Tan;Jesper Jensen

  • An investigation of deep neural networks for noise robust speech recognition

    Michael L. Seltzer;Dong Yu;Yongqiang Wang

  • Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription

    Frank Seide;Gang Li;Xie Chen;Dong Yu

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

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

  • Using recurrent neural networks for slot filling in spoken language understanding

    Grégoire Mesnil;Yann Dauphin;Kaisheng Yao;Yoshua Bengio

  • Achieving Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP]

    Dong Yu;Li Deng

  • Large-scale malware classification using random projections and neural networks

    George E. Dahl;Jack W. Stokes;Li Deng;Dong Yu

  • KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition

    Dong Yu;Kaisheng Yao;Hang Su;Gang Li

  • Automatic Speech Recognition: A Deep Learning Approach

    Dong Yu;Li Deng

  • Conversational speech transcription using context-dependent deep neural networks

    Dong Yu;Frank Seide;Gang Li

  • The shared views of four research groups )

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

  • Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbæk;Dong Yu;Zheng-Hua Tan;Jesper Jensen

Frequent Co-Authors

Li Deng
Li Deng Citadel
Yifan Gong
Yifan Gong Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Frank Seide
Frank Seide Microsoft (United States)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Jinyu Li
Jinyu Li Microsoft (United States)
Jasha Droppo
Jasha Droppo Amazon (United States)
Yanmin Qian
Yanmin Qian Shanghai Jiao Tong University
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Geoffrey Zweig
Geoffrey Zweig Facebook (United States)

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