World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
14976
World Ranking
9033
National Ranking
1160

Research.com Recognitions

  • 2007 - IEEE Fellow For contributions to speech recognition research and product development

Overview

Hsiao-Wuen Hon is affiliated with Microsoft Research Asia in China. Their research primarily focuses on computer science, with a particular emphasis on artificial intelligence, computer networks and communications, information systems, computer vision and pattern recognition, and sociology and political science.

Their recent papers include:

  • Unified language model pre-training for natural language understanding and generation, 2024, arXiv (Cornell University)
  • UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training, 2020, arXiv (Cornell University)
  • Suphx: Mastering Mahjong with Deep Reinforcement Learning, 2020, arXiv (Cornell University)
  • AI for System - Infusing AI into Cloud Computing Systems, 2021, ACM SIGMETRICS Performance Evaluation Review

Frequent coauthors of Hsiao-Wuen Hon include:

  • Li Dong
  • Nan Yang
  • Wenhui Wang
  • Furu Wei
  • Xiaodong Liu

The main publication venues for their work are:

  • arXiv (Cornell University)
  • ACM SIGMETRICS Performance Evaluation Review

Their work covers several specific topics:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Software System Performance and Reliability
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis

In 2007, Hsiao-Wuen Hon was recognized as an IEEE Fellow for contributions to speech recognition research and product development.

Best Publications

  • Spoken Language Processing: A Guide to Theory, Algorithm, and System Development

    Xuedong Huang;Alex Acero;Hsiao-Wuen Hon;Raj Reddy

  • Speaker-independent phone recognition using hidden Markov models

    K.-F. Lee;H.-W. Hon

  • Unified Language Model Pre-training for Natural Language Understanding and Generation

    Li Dong;Nan Yang;Wenhui Wang;Furu Wei

  • Spoken Language Processing

    Alex Acero;Xuedong Huang;Hsiao-Wuen Hon

  • An overview of the SPHINX speech recognition system

    K.-F. Lee;H.-W. Hon;R. Reddy

  • Adapting ranking SVM to document retrieval

    Yunbo Cao;Jun Xu;Tie-Yan Liu;Hang Li

  • The SPHINX-II Speech Recognition System: An Overview

    Xuedong Huang;Fileno Alleva;Hsiao Hon;Mei Hwang

  • Proofreading with text to speech feedback

    Hsiao-Wuen Hon;Dong Li;Xuedong Huang;Yun-Chen Ju

  • Text-to-speech using clustered context-dependent phoneme-based units

    Alejandro Acero;Hsiao-Wuen Hon;Xuedong D. Huang

  • What's in a name?: an unsupervised approach to link users across communities

    Jing Liu;Fan Zhang;Xinying Song;Young-In Song

  • UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

    Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

  • CMU robust vocabulary-independent speech recognition system

    H.-W. Hon;K.-F. Lee

  • Large-vocabulary speaker-independent continuous speech recognition using HMM

    K.-F. Lee;H.-W. Hon

  • Towards large vocabulary Mandarin Chinese speech recognition

    Hsiao-Wuen Hon;Baosheng Yuan;Yen-Lu Chow;S. Narayan

  • Whistler: a trainable text-to-speech system

    Xuedong Huang;A. Acero;J. Adcock;Hsiao-Wuen Hon

  • Identifying ambiguous queries in web search

    Ruihua Song;Zhenxiao Luo;Ji-Rong Wen;Yong Yu

  • Applying SPHINX-II to the DARPA Wall Street Journal CSR task

    F. Alleva;H. Hon;X. Huang;M. Hwang

  • The SPHINX speech recognition system

    K.-F. Lee;H.-W. Hon;M.-Y. Hwang;S. Mahajan

  • Allophone clustering for continuous speech recognition

    K.-F. Lee;S. Hayamizu;H.-W. Hon;C. Huang

  • UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

    Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

  • Suphx: Mastering Mahjong with Deep Reinforcement Learning

    Junjie Li;Sotetsu Koyamada;Qiwei Ye;Guoqing Liu

  • Pseudo-Masked Language Models for Unified Language Model Pre-Training

    Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

Frequent Co-Authors

Xuedong Huang
Xuedong Huang Microsoft (United States)
Kai-Fu Lee
Kai-Fu Lee Sinovation Ventures
Mei-Yuh Hwang
Mei-Yuh Hwang Microsoft (United States)
Ming Zhou
Ming Zhou Langboat Technology
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Kuansan Wang
Kuansan Wang Microsoft (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Li Deng
Li Deng Citadel
Li Dong
Li Dong Microsoft (United States)

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