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

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**Hui Jiang** \\
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__: eecs)  \\ [[research:MLFBook|{{ :research:mlb-book-cover-small.jpg?115}}]]

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** Nov. 16, 2024: my homepage has been moved to a [[https://incml.github.io/huijiang | Github site]] from now on.  **
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 **My new book "Machine Learning Fundamentals" //©Hui Jiang// 2021, is recently published by //Cambridge University Press//. Check [[ research:MLFBook | here]] for details. ** 
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**I am maintaining a technology blog at [[ https://incml.github.io | here]]**. 

 ===== Research =====


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 [[https://wiki.eecs.yorku.ca/lab/MLL/start|the NCML Lab (LAS2054)]]. **If you are interested in doing research with me, please email me at the above address.** 

check for my [[research:start| research interests and recent projects]] 

 ===== News =====

   * 2019/05/13: One paper is accepted by [[http://www.acl2019.org/EN/index.xhtml| ACL2019]].
   * 2019/02/22: Two papers are accepted by [[https://naacl2019.org|NAACL2019]].
   * 2019/01/20: One paper is accepted by [[https://datainnovation.soic.indiana.edu/www2019_kgta/index.html|WWW-2019 workshop on Knowledge Graph Technology and Application]]. 
   * 2018/08/10: One paper is accepted by [[https://emnlp2018.org|EMNLP2018]].
   * 2017/07/01: One paper is accepted by [[http://emnlp2017.net|EMNLP2017]].
   * 2017/04/23:  One paper is accepted by [[http://ijcai-17.org/|IJCAI2017]]. 
   * 2017/04/01:  Two papers are accepted by [[http://acl2017.org/|ACL2017]]. 
   * 2017/03/30:  [[http://ieeexplore.ieee.org/document/7859324/|Our FSMN paper]] is accepted by IEEE Trans. ASLP. 
   * 2017/03/01:  One paper is accepted by [[http://www.ijcnn.org/|IJCNN-2017]].
   * 2016/12/12: [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6857341&tag=1| Our paper]] won [[https://signalprocessingsociety.org/get-involved/award-recipients| 2016 IEEE SPS Best Paper Award]].
   * 2016/11/11: Our teams won the EDL track (No.1 and No.2 among all participating teams) in [[https://tac.nist.gov/2016/KBP/|2016 TAC KBP contest]]. The technical details of our systems can be found: [[https://arxiv.org/abs/1611.03558|arXiv:1611.03558]]  and [[https://arxiv.org/abs/1611.00801|arXiv:1611.00801]].
   * 2016/07/20: [[https://arxiv.org/abs/1603.07704|Our recent work on CommonSense Reasoning]] was mentioned in [[https://www.technologyreview.com/s/601897/tougher-turing-test-exposes-chatbots-stupidity|a recent article from MIT technology Review]]. The technical details can be found in our recent arXiv paper [[https://arxiv.org/abs/1603.07704|here]]. 
   * 2016/06/10: One paper is accepted by [[http://www.interspeech2016.org/|Interspeech-2016]].
   * 2016/04/04: One paper is accepted by [[http://ijcai-16.org|IJCAI-2016]]. 
   * 2016/03/02: Two (2) papers are accepted by [[http://naacl.org/naacl-hlt-2016/|NAACL 2016]]. 
   * 2016/01/03: [[http://arxiv.org/abs/1502.00702|Our HOPE paper]] is accepted by [[http://jmlr.org/papers/v17/15-335.html|JMLR]].

 ===== Invited Talks =====

  * April 2019, "Understanding Deep Learning in Theory", Vector Institute Seminar on April 5, 2019. ({{:dl-theory.pdf|slides}})
  * 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) ({{:huijiang-hit-talk.pdf|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)  ({{:hope-talk-aug2015.pdf|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)  ({{:ryersonu-visit-2013.pdf|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) ({{:huijiang-ibm-visit-2013.pdf|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) ({{:uoft-visit-2013.pdf|slides}})

===== Teaching =====

My teaching is [[Teaching:Start|here]]


===== Student Supervision =====

My supervised post-doc and graduate students are [[Students:START|here]].

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