World's Best Scientists 2026 revealed!
Yuxuan Wang

Yuxuan Wang

D-Index & Metrics

Computer Science

D-Index
40
Citations
14647
World Ranking
9036
National Ranking
1161

Overview

Yuxuan Wang is affiliated with ByteDance in China and has a significant body of research primarily within the field of Computer Science. Their work spans several subfields, including Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Materials Chemistry, and Computer Networks and Communications.

The main topics of Yuxuan Wang's research encompass:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Topic Modeling
  • Natural Language Processing Techniques
  • Music and Audio Processing
  • Speech and dialogue systems
  • AI in cancer detection

Yuxuan Wang has contributed articles to various publication venues, with a concentration in these outlets:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Expert Systems with Applications
  • Proceedings of the 30th ACM International Conference on Multimedia

Recent published papers authored or coauthored by Yuxuan Wang include:

  • "High-Resolution Piano Transcription With Pedals by Regressing Onset and Offset Times," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Assessment of concentrated solar power generation potential in China based on Geographic Information System (GIS)," 2022, Applied Energy
  • "Deep learning to diagnose Hashimoto's thyroiditis from sonographic images," 2022, Nature Communications
  • "Combine temporal information in session-based recommendation with graph neural networks," 2023, Expert Systems with Applications
  • "VoiceFixer: Toward General Speech Restoration with Neural Vocoder," 2021, arXiv (Cornell University)

Frequent collaborators appearing in Yuxuan Wang's publications include:

  • Yu-Ping Wang
  • Qiao Tian
  • Qiuqiang Kong
  • Ming Tu

Best Publications

  • Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

    Jonathan Shen;Ruoming Pang;Ron J. Weiss;Mike Schuster

  • Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang;R. J. Skerry-Ryan;Daisy Stanton;Yonghui Wu

  • On training targets for supervised speech separation

    Yuxuan Wang;Arun Narayanan;DeLiang Wang

  • A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network

    S.G. Wu;F.S. Bao;E.Y. Xu;Yu-Xuan Wang

  • PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

    Qiuqiang Kong;Yin Cao;Turab Iqbal;Yuxuan Wang

  • Complex ratio masking for monaural speech separation

    Donald S. Williamson;Yuxuan Wang;DeLiang Wang

  • Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

    Yuxuan Wang;Daisy Stanton;Yu Zhang;RJ Skerry-Ryan

  • Towards Scaling Up Classification-Based Speech Separation

    Yuxuan Wang;DeLiang Wang

  • Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

    RJ Skerry-Ryan;Eric Battenberg;Ying Xiao;Yuxuan Wang

  • Learning spectral mapping for speech dereverberation and denoising

    Kun Han;Yuxuan Wang;DeLiang Wang;William S. Woods

  • An algorithm to improve speech recognition in noise for hearing-impaired listeners

    Eric W. Healy;Sarah E. Yoho;Yuxuan Wang;DeLiang Wang

  • Exploring Monaural Features for Classification-Based Speech Segregation

    Yuxuan Wang;Kun Han;DeLiang Wang

  • A feature study for classification-based speech separation at low signal-to-noise ratios

    Jitong Chen;Yuxuan Wang;DeLiang Wang

  • Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.

    Yuxuan Wang;R. J. Skerry-Ryan;Daisy Stanton;Yonghui Wu

  • Large-scale training to increase speech intelligibility for hearing-impaired listeners in novel noises

    Jitong Chen;Yuxuan Wang;Sarah E. Yoho;DeLiang Wang

  • Hierarchical Generative Modeling for Controllable Speech Synthesis.

    Wei-Ning Hsu;Yu Zhang;Ron J. Weiss;Heiga Zen

  • Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

    Jonathan Shen;Ruoming Pang;Ron J. Weiss;Mike Schuster

  • Robust speaker identification in noisy and reverberant conditions

    Xiaojia Zhao;Yuxuan Wang;DeLiang Wang

  • Trainable frontend for robust and far-field keyword spotting

    Yuxuan Wang;Pascal Getreuer;Thad Hughes;Richard F. Lyon

  • A deep neural network for time-domain signal reconstruction

    Yuxuan Wang;DeLiang Wang

Frequent Co-Authors

DeLiang Wang
DeLiang Wang Chinese University of Hong Kong, Shenzhen
Yonghui Wu
Yonghui Wu Google (United States)
Zhifeng Chen
Zhifeng Chen Google (United States)
Navdeep Jaitly
Navdeep Jaitly Google (United States)
Ruoming Pang
Ruoming Pang Google (United States)
Wenwu Wang
Wenwu Wang University of Surrey
Mark D. Plumbley
Mark D. Plumbley King's College London
Samy Bengio
Samy Bengio Apple (United States)
Richard F. Lyon
Richard F. Lyon Google (United States)

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