World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
24353
World Ranking
1479
National Ranking
770

Research.com Recognitions

  • 2016 - ACM Fellow For contributions to spoken language processing.

Overview

Xuedong Huang is affiliated with Microsoft in the United States. Their research predominantly occupies the fields of Engineering and Computer Science, with a focus on specific subfields such as Aerospace Engineering, Electrical and Electronic Engineering, Building and Construction, Artificial Intelligence, and Information Systems.

The scientist has contributed to multiple areas within their research domain. The main topics covered in their work include:

  • Air Traffic Management and Optimization
  • UAV Applications and Optimization
  • Traffic Prediction and Management Techniques
  • Vehicular Ad Hoc Networks (VANETs)
  • Machine Learning and ELM
  • Energy Load and Power Forecasting
  • Advanced Decision-Making Techniques

Xuedong Huang has coauthored publications with several frequent collaborators, including Zhaoyue Zhang, An Zhang, Cong Sun, Jichen Guan, and Shanmei Li.

Their work has been published in a variety of venues, reflecting the interdisciplinary nature of their research. These venues include:

  • IEEE Transactions on Intelligent Transportation Systems
  • Mobile Networks and Applications
  • IEEE Access
  • IEEE Transactions on Instrumentation and Measurement
  • 2022 IEEE International Conference on Unmanned Systems (ICUS)

Selected recent papers by Xuedong Huang demonstrate a focus on conflict detection, traffic flow forecasting, and positioning methods. These include:

  • "Cooperative Conflict Detection and Resolution and Safety Assessment for 6G Enabled Unmanned Aerial Vehicles" (2022), published in IEEE Transactions on Intelligent Transportation Systems
  • "Research on Air Traffic Flow Forecast Based on ELM Non-Iterative Algorithm" (2020), published in Mobile Networks and Applications
  • "The Reliability Analysis of Air Traffic Network Based on Trajectory Clustering of Terminal Area" (2020), published in IEEE Access
  • "A Novel GNSS Quality Control Method With Satellite Geometric Network for Dynamic Urban Positioning" (2024), published in IEEE Transactions on Instrumentation and Measurement
  • "An Artificial Potential Field Based Cooperative UAV Conflict Detection and Resolution under Uncertain Communication Environment" (2022), published in 2022 IEEE International Conference on Unmanned Systems (ICUS)

Their research contributions extend to topics in unmanned aerial vehicle (UAV) conflict resolution, air traffic flow forecast algorithms utilizing machine learning techniques such as Extreme Learning Machines (ELM), and quality control methods in global navigation satellite systems (GNSS) for dynamic urban positioning.

Xuedong Huang received recognition as an ACM Fellow in 2016 for contributions to spoken language processing, indicating a breadth of expertise extending into language-related computational research.

Best Publications

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

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

  • Hidden Markov Models for Speech Recognition

    Xuedong Huang;Yasuo Ariki;Mervyn Jack

  • Spoken Language Processing

    Alex Acero;Xuedong Huang;Hsiao-Wuen Hon

  • The Microsoft 2017 Conversational Speech Recognition System

    W. Xiong;L. Wu;F. Alleva;J. Droppo

  • Achieving Human Parity on Automatic Chinese to English News Translation

    Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

  • The SPHINX-II Speech Recognition System: An Overview

    Xuedong Huang;Fileno Alleva;Hsiao Hon;Mei Hwang

  • Achieving Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • An Introduction to Computational Networks and the Computational Network Toolkit

    Dong Yu;Adam Eversole;Mike Seltzer;Kaisheng Yao

  • Semi-continuous hidden Markov models for speech signals

    X. D. Huang;M. A. Jack

  • Method and system of runtime acoustic unit selection for speech synthesis

    Alejandro Acero;James L. Adcock;Xuedong D. Huang;Michael D. Plumpe

  • Information retrieval and speech recognition based on language models

    Milind V. Mahajan;Xuedong D. Huang

  • Proofreading with text to speech feedback

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

  • Large-vocabulary speech recognition under adverse acoustic environments.

    Li Deng;Alex Acero;Mike Plumpe;Xuedong Huang

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

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

  • The microsoft 2016 conversational speech recognition system

    W. Xiong;J. Droppo;X. Huang;F. Seide

  • Desktop search from mobile device

    Raymond E. Ozzie;Eric J. Horvitz;William H. Gates;Joshua T. Goodman

  • Predicting unseen triphones with senones

    Mei-Yuh Hwang;Xuedong Huang;F.A. Alleva

  • Toward Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • Challenges in adopting speech recognition

    Li Deng;Xuedong Huang

  • Efficient cepstral normalization for robust speech recognition

    Fu-Hua Liu;Richard M. Stern;Xuedong Huang;Alejandro Acero

  • Context-sensitive query enrichment

    Marc E. Davis;Matthew G. Dyor;William Gates;Xuedong Huang

Frequent Co-Authors

Marc Davis
Marc Davis Microsoft (United States)
Robert W. Lord
Robert W. Lord IBM (United States)
Mark A. Malamud
Mark A. Malamud Microsoft (United States)
Richard T. Lord
Richard T. Lord Microsoft (United States)
Mei-Yuh Hwang
Mei-Yuh Hwang Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Li Deng
Li Deng Citadel
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Clarence T. Tegreene
Clarence T. Tegreene Microsoft (United States)
Roderick A. Hyde
Roderick A. Hyde Lawrence Livermore National Laboratory

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