World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11507
World Ranking
4570
National Ranking
2136

Research.com Recognitions

  • 2021 - IEEE Fellow For leadership in creating cloud speech recognition services in industry

Overview

Yifan Gong is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and signal processing. Their scholarly output includes a significant number of publications oriented around speech recognition, audio processing, and advanced neural network applications.

Their research topics include:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Advanced Neural Network Applications
  • Natural Language Processing Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Yifan Gong has published prominently in a range of venues, with the majority of work appearing in arXiv (Cornell University). Other publication locations include the IEEE Transactions on Mobile Computing, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the IEEE Signal Processing Letters, and the 2022 IEEE Spoken Language Technology Workshop (SLT).

Frequent co-authors in their collaborations are:

  • Yanzhi Wang
  • Zheng Zhan
  • Jinyu Li
  • Pu Zhao
  • Wei Niu

Notable recent papers by Yifan Gong include:

  • "Radio Frequency Fingerprinting on the Edge," 2021, IEEE Transactions on Mobile Computing
  • "Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge," 2021, arXiv (Cornell University)
  • "Streaming End-to-End Multi-Talker Speech Recognition," 2021, IEEE Signal Processing Letters
  • "On Addressing Practical Challenges for RNN-Transducer," 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

Yifan Gong has been recognized as an IEEE Fellow in 2021, a distinction awarded for leadership in developing cloud speech recognition services within the industry.

Best Publications

  • Recent advances in deep learning for speech research at Microsoft

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

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

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

  • An overview of noise-robust automatic speech recognition

    Jinyu Li;Li Deng;Yifan Gong;Reinhold Haeb-Umbach

  • Restructuring of Deep Neural Network Acoustic Models with Singular Value Decomposition

    Jian Xue;Jinyu Li;Yifan Gong

  • Learning small-size DNN with output-distribution-based criteria.

    Jinyu Li;Rui Zhao;Jui-Ting Huang;Yifan Gong

  • Adaptation of context-dependent deep neural networks for automatic speech recognition

    Kaisheng Yao;Dong Yu;Frank Seide;Hang Su

  • End-to-End attention based text-dependent speaker verification

    Shi-Xiong Zhang;Zhuo Chen;Yong Zhao;Jinyu Li

  • Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network

    Jian Xue;Jinyu Li;Dong Yu;Mike Seltzer

  • Identifying language origin of words

    Min Chu;Yi Ning Chen;Shiun-Zu Kuo;Xiaodong He

  • Improving RNN Transducer Modeling for End-to-End Speech Recognition

    Jinyu Li;Rui Zhao;Hu Hu;Yifan Gong

  • Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM

    Jinyu Li;Dong Yu;Jui-Ting Huang;Yifan Gong

  • An analysis of convolutional neural networks for speech recognition

    Jui-Ting Huang;Jinyu Li;Yifan Gong

  • High-performance hmm adaptation with joint compensation of additive and convolutive distortions via Vector Taylor Series

    Jinyu Li;Li Deng;Dong Yu;Yifan Gong

  • A study on multilingual acoustic modeling for large vocabulary ASR

    Hui Lin;Li Deng;Dong Yu;Yi-fan Gong

  • Restructuring deep neural network acoustic models

    Jian Xue;Emilian Stoimenov;Jinyu Li;Yifan Gong

  • Multi-Channel Overlapped Speech Recognition with Location Guided Speech Extraction Network

    Zhuo Chen;Xiong Xiao;Takuya Yoshioka;Hakan Erdogan

  • Shared hidden layer combination for speech recognition systems

    Jinyu Li;Jian Xue;Yifan Gong

  • Speaker-Invariant Training Via Adversarial Learning

    Zhong Meng;Jinyu Li;Zhuo Chen;Yang Zhao

  • Large-Scale Domain Adaptation via Teacher-Student Learning.

    Jinyu Li;Michael L. Seltzer;Xi Wang;Rui Zhao

  • Fundamentals of speech recognition

    Jinyu Li;Li Deng;Reinhold Haeb-Umbach;Yifan Gong

  • Robust Automatic Speech Recognition

    Jinyu Li;Li Deng;Reinhold Haeb-Umbach;Y. Gong

Frequent Co-Authors

Jinyu Li
Jinyu Li Microsoft (United States)
Li Deng
Li Deng Citadel
Dong Yu
Dong Yu Tencent (China)
Yan Huang
Yan Huang University of North Texas
Alejandro Acero
Alejandro Acero Apple (United States)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Jasha Droppo
Jasha Droppo Amazon (United States)
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology

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