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Prof. Hui Jiang

Welcome to Prof. Hui Jiang's Home Page at YorkU


Hui Jiang
iFLYTEK Endowed Professor, Ph.D., P.Eng.
Department of Electrical Engineering and Computer Science, York University
4700 Keele Street, Toronto, Ontario, M3J 1P3, CANADA
Office: LAS 3014
Tel: (416) 736-2100 x33346
Fax: (416) 736-5872
Email: username AT domain DOT yorku DOT ca
(username: hj; domain: cse)


I am currently working on various topics related to neural models for machine learning, speech and language processing, and computer vision. We are located at the iNCML Lab (LAS2054). If you are interested in doing research with me, please email me at the above address.

check for my research interests and recent projects


Invited Talks

  • December 2016, “A New General Deep Learning Approach for Natural Language Processing ”, Harbin Institute of Technology, Harbin, China. (Invited and hosted by Prof. Ting Liu) (slides)
  • August 2015, “A New Framework to Learn Neural Networks: Hybrid Orthogonal Projection and Estimation (HOPE)”, Microsoft Research Asia, Beijing, China. (Invited and hosted by Dr. Qiang Huo) (slides)
  • November 2013, “Why Deep Neural Network Works for Speech Recognition?” Deptartment of Electrical and Computer Engineering, Ryerson University. (Invited and hosted by Prof. Xiao-Ping Zhang) (slides)
  • October 2013, “Why DNN Works for Speech and How to Make it More Efficient?” IBM Waston Research Center, Yorktown Heights, New York. (Invited and hosted by Dr. Xiaodong Cui) (slides)
  • February 2013, “Why DNN Works for Acoustic Modeling in Speech Recognition?” Department of Computer Science, University of Toronto. (Invited and hosted by Prof. Gerald Penn) (slides)
  • October 2010, “Discriminative Training of Generative Models with its Application on Speech and Language Processing,” University of Science and Technology of China, Hefei, China. (Invited and hosted by Prof. Li-Rong Dai)
  • May 2009, “Convex Optimization for Discriminative Training of HMMs in Speech Recognition,” National Cheng-Kung University, Taiwan. (Invited and hosted by Prof. Jen-Tzung Chien)
  • November 2008, “A New Framework for Discriminative Learning of Generative Models,” University of Science and Technology of China, Hefei, China. (Invited and hosted by Prof. Ren-Hua Wang)
  • October 2007, “Large Margin Estimation of Hidden Markov Models for Speech Recognition”, an invited plenary talk in the 9th National Conference on Man-Machine Communication, Huangshan, China.
  • August 2006, “Solving Large Margin Hidden Markov Models via Semi-definite Programming”, Microsoft Research Asia, Beijing, China. (Invited and hosted by Dr. Frank Soong)
  • June 2006, “Acoustic Modeling For Speech Recognition: From Maximum Likelihood (ML) to Discriminative Training (DT) and Beyond”, an invited tutorial talk in the 9th Western Pacific Acoustics Conference, Seoul, Korea.
  • Februray 2006, “Large Margin HMMs for Speech Recognition,” Microsoft Research, Redmond, Washington, USA. (Slides and Videos)
  • January 2006, “Model-based Speech Processing: Recognition, Enhancement and Separation,” Zarlink Semiconductor Inc., Ottawa, Ontario. (Slides)
  • Februrary 2005, “Large-Margin HMM Estimation for Speech Recognition,” IBM Waston Research Center, Yorktown Heights, New York. (Slides)
  • April 2004, “An In-search Data Selection Algorithm and its Applications,” Microsoft Research Asia, Beijing, China. (Slides)
  • November 2003, “Confidence Measures: How Much We can Trust Our Speech Recognizers,” University of Toronto, Toronto, Ontario. (Slides)


My teaching is here

Student Supervision

My supervised post-doc and graduate students are here.

Last modified:
2017/07/04 16:18