Hui Jiang

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====== Recent Publication (from 2012) ======

**Books:**

  - **H. Jiang**, [[research:MLFBook|"Machine Learning Fundamentals"]], //Cambridge University Press//, 2021. ({{:research:mlf-jiang.bib|bibtex}})

**Referred Journal Papers:**

  - S. Zhang, C. Liu, **H. Jiang**, S. Wei, L. Dai, Y. Hu, "[[http://ieeexplore.ieee.org/document/7859324/|Non-Recurrent Neural Structure for Long-Term Dependency]]," //IEEE/ACM Trans. on Audio, Speech and Language Processing//, pp. 871-884, Vol. 25, No. 4, April 2017.
  - S. Zhang, **H. Jiang**, L. Dai, "[[http://jmlr.org/papers/v17/15-335.html|Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks]]," //Journal of Machine Learning Research (JMLR),// 17(37):1−33, 2016.
  - S. Xue, **H. Jiang**, L. Dai, Q. Liu, "[[http://link.springer.com/article/10.1007/s11265-015-1012-6|Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition]]," //Journal of Signal Processing Systems//, pp. 175-185, Vol. 82, No. 2, February 2016.
  - P. Zhou, **H. Jiang**, L. Dai, Y. Hu and Q. Liu, "[[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7010902|State-Clustering based Multiple Deep Neural Networks Modelling Approach for Speech Recognition]]," //IEEE/ACM Trans. on Audio, Speech and Language Processing//, pp.631-642, Vol. 23, No. 4, April 2015.
  - **H. Jiang**, Z. Pan, P. Hu, "[[http://link.springer.com/article/10.1007%2Fs10044-014-0382-x|Discriminative learning of generative models: large margin multinomial mixture models for document classification]]," //Pattern Analysis and Applications//, Volume 18, Issue 3, pp 535-551, August 2015.
  - S. Xue, O. Abdel-Hamid, **H. Jiang**, L. Dai, Q. Liu, "[[http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6874531&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6874531|Fast Adaptation of Deep Neural Network based on Discriminant Codes for Speech Recognition]]," //IEEE/ACM Trans. on Audio, Speech and Language Processing//, pp.1713-1725, Vol. 22, No. 12, December 2014.
  - O. Abdel-Hamid, A. Mohamed, **H. Jiang**, L. Deng, G. Penn, D. Yu, "[[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6857341&tag=1|Convolutional Neural Networks for Speech Recognition]]," //IEEE/ACM Trans. on Audio, Speech and Language Processing//, pp.1533-1545, Vol. 22, No. 10,  October 2014. **([[https://signalprocessingsociety.org/get-involved/award-recipients| 2016 IEEE SPS Best Paper Award]])** 
  - E. P. Wilkinson, O. Abdel-Hamid, J. J. Galvin, **H. Jiang** and Q.-J. Fu, ``[[http://onlinelibrary.wiley.com/doi/10.1002/lary.23744/abstract|Voice Conversion in Cochlear Implantation]]," //The Laryngoscope//, Vol. 123, Issue S13, pp.S29-S43, January 2013.
  - P. Hu, S. Bull and **H. Jiang**, "[[http://www.biomedcentral.com/1471-2105/13/S10/S17|Gene network modular-based classification of microarray samples]]," //BMC Bioinformatics//, 13(Suppl 10):S17, 2012.

**[[arxivwork|On-going work in arXiv.org]]** 

**Referred Conference Papers:**

  - C. Wang, J. Gaspers, Q. Do and **H. Jiang**, “Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation.” //Findings of the Association for Computational Linguistics (ACL)//, August 2021.
  - C. Wang and **H. Jiang**, "Explicit Utilization of General Knowledge in Machine Reading Comprehension", //Proc. of the 57th Annual Meeting of the Association for Computational Linguistics (ACL)//, July 2019. ([[https://www.aclweb.org/anthology/P19-1219|paper]])
  - C. Wang and **H. Jiang**, "The Lower The Simpler: Simplifying Hierarchical Recurrent Models", //Proc. of North American Chapter of the Association for Computational Linguistics (NAACL)//, June 2019. ([[https://www.aclweb.org/anthology/N19-1402|paper]])
  - K. Jiang, D. Wu and **H. Jiang**, "FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase," //Proc. of North American Chapter of the Association for Computational Linguistics (NAACL)//, June 2019. ([[https://www.aclweb.org/anthology/N19-1028|paper]], [[https://github.com/infinitecold/FreebaseQA|dataset]])
  - K. Joseph and **H. Jiang**, "Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs," //Proc. of WWW2019 Workshop On Knowledge Graph Technology And Applications//,  May 2019.
  - S. Watcharawittayakul, M. Xu and **H. Jiang**, "Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models," //Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)//, October, 2018. ([[http://aclweb.org/anthology/D18-1502|paper]])
  - H. Pan and **H. Jiang**, "Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation," //Proc. of the 9th Asian Conference on Machine Learning (ACML 2017)//, November 2017.  ([[http://proceedings.mlr.press/v77/pan17a/pan17a.pdf|paper]])
  - J. Sanu, M. Xu, **H. Jiang** and Q. Liu, "Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding," //Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)//, September, 2017.  ([[http://aclweb.org/anthology/D17-1031|paper]])
  - Q. Liu, **H. Jiang**, A. Evdokimov, Z. Ling, X. Zhu, S. Wei and Y. Hu, "Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems," //Proc. of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017)//, August 2017. ([[https://www.ijcai.org/proceedings/2017/0326.pdf|paper]])
  - M. Xu, **H. Jiang** and S. Watcharawittayakul, "A Local Detection Approach for Named Entity Recognition and Mention Detection," //Proc. of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)//, July 2017. ([[http://www.aclweb.org/anthology/P17-1114|paper]])
  - Q. Chen, X. Zhu, Z. Ling, S. Wei, **H. Jiang** and D. Inkpen, "Enhanced LSTM for Natural Language Inference," //Proc. of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)//, July 2017.  ([[http://aclweb.org/anthology/P17-1152|paper]])
  - H. Pan and **H. Jiang**,  "A Fast Method for Saliency Detection by Back-propagating a Convolutional Neural Network and Clamping Its Partial Outputs," //Proc. of International Joint Conference on Neural Networks (IJCNN)//, May 2017. ([[http://ieeexplore.ieee.org/document/7966307/|paper]])
  - S. Zhang, **H. Jiang**, S. Xiong, S. Wei, L. Dai, "Compact Feedforward Sequential Memory Networks for Large Vocabulary Continuous Speech Recognition," //Proc. of Interspeech//, September 2016.  ({{:publication:cfsmn-final.pdf|paper}})
  - Q. Liu, **H. Jiang**, Z. Ling, S. Wei, and Y. Hu, "Probabilistic Reasoning via Deep Learning: Neural Association Models,"  //Proc. of IJCAI 2016 Workshop on
Deep Learning for Artificial Intelligence (DLAI)//, July 2016. ([[https://arxiv.org/abs/1603.07704|project]])
  - Q. Chen, X. Zhu, Z. Ling, S. Wei and **H. Jiang**, "A Neural Network for Document Summarization," //Proc. of 25th International Joint Conference on Artificial Intelligence (IJCAI)//,  July 2016.
  - Y. Peng and **H. Jiang**, "Leverage Financial News to Predict Stock Price Movements UsingWord Embeddings and Deep Neural Networks," //Proc. of North American Chapter of the Association for Computational Linguistics (NAACL)//, June 2016. ([[http://www.aclweb.org/anthology/N16-1041|paper]])
  - Q. Liu, W. Guo, Z. Ling, **H. Jiang** and Y. Hu, "Intra-Topic Variability Normalization based on Linear Projection for Topic Classification,"  //Proc. of North American Chapter of the Association for Computational Linguistics (NAACL)//, June 2016. ([[https://aclweb.org/anthology/N/N16/N16-1051.pdf|paper]])
  - S. Zhang, **H. Jiang**, S. Wei, L. Dai, "Rectified Linear Neural Networks with Tied-Scalar Regularization for LVCSR," //Proc. of Interspeech//, September 2015. ({{:publication:rldnnts-final.pdf|paper}})
  - S. Zhang, **H. Jiang**, M. Xu, J. Hou, L. Dai, "The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models," //Proc. of the 53th Annual Meeting of the Association for Computational Linguistics (ACL 2015)//, July 2015. ([[http://anthology.aclweb.org/P/P15/P15-2081.pdf|paper]], [[https://wiki.eecs.yorku.ca/lab/MLL/projects:fofe:start|project]])
  - Z. Chen, W. Lin, Q. Chen, X. Chen, S. Wei, X. Zhu, **H. Jiang**, "Revisiting Word Embedding for Contrasting Meaning," //Proc. of the 53th Annual Meeting of the Association for Computational Linguistics (ACL 2015)//, July 2015.  ([[http://anthology.aclweb.org/P/P15/P15-1011.pdf|paper]], project)
  - Q. Liu, **H. Jiang**, S. Wei, Z.-H. Ling, Y. Hu, "Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints," //Proc. of the 53th Annual Meeting of the Association for Computational Linguistics (ACL 2015)//, July 2015.  ([[http://anthology.aclweb.org/P/P15/P15-1145.pdf|paper]], [[https://wiki.eecs.yorku.ca/lab/MLL/projects:swe:start|project]])
  - S. Zhang, **H. Jiang**, L. Dai, "The New HOPE Way to Learn Neural Networks", //Proc. of Deep Learning Workshop at ICML 2015//, July 2015. ([[https://8109f4a4-a-62cb3a1a-s-sites.googlegroups.com/site/deeplearning2015/9.pdf?attachauth=ANoY7coK1o0yBn1dsWEI0HgzM8TRfaBZAVw5BlivHyIiOJt3Hz1Q-fSv3qKwTo4eeS2bdcIrseorD-GCFaggMP9n6EKExhoYnm8smj5LogA6kmlM5SPmMWJxf3uhMRKk5T0M9_cEdtCVwCBSQh4Ya3PYW5OogwFzibs-vpFIZfN6OQG50CmwNBK4x3-tyi0nrihKfNFeMMbUyMWZeeSj9ToElpkc2qB17A%3D%3D&attredirects=0|paper]], [[https://wiki.eecs.yorku.ca/lab/MLL/projects:hope:start|project]])
  - H. Pan, **H. Jiang**, "Annealed Gradient Descent for Deep Learning," //Proc. of the 31th Conference on Uncertainty in Artificial Intelligence (UAI 2015)//, July 2015. ([[http://auai.org/uai2015/proceedings/papers/73.pdf|paper]], [[https://wiki.eecs.yorku.ca/lab/MLL/projects:asgd:start|project]])
  - S. Xue, **H. Jiang**, L. Dai, Q. Liu, ``Unsupervised Speaker Adaptation of Deep Neural Network based on the combination of speaker codes and singular value decomposition for Speech Recognition,'' //Proc. of of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'15)//, Brisbane, Australia, April 2015.
  - S. Xue, **H. Jiang**, L. Dai, "Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition," //Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP'2014)//, Sep 2014.
  - C. Kong, S. Xue, J. Gao, W. Guo, L. Dai and **H. Jiang**, "Speaker Adaptive Bottleneck Features Extraction for LVCSR Based on Discriminative Learning of Speaker Codes," //Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP'2014)//, Sep 2014.
  - P. Zhou, L. Dai, **H. Jiang**, "Sequence Training of Multiple Deep Neural Networks for Better Performance and Faster Training Speed," //Proc. of of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'14)//, Florence, Italy, May 2014. ({{:publication:p5664-zhou.pdf|pdf}})
  - S. Zhang, Y. Bao, P. Zhou, **H. Jiang**, L. Dai, "Improving deep neural networks for LVCSR using dropout and shrinking structure,"  //Proc. of of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'14)//, Florence, Italy, May 2014. ({{:publication:p6899-zhang.pdf|pdf}})
   - S. Xue, O. Abdel-Hamid, **H. Jiang**, L. Dai, "Direct Adaptation of Hybrid DNN/HMM Model for Fast Speaker Adaptation," //Proc. of of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'14)//, Florence, Italy, May 2014. ({{:publication:p6389-xue.pdf|pdf}})
  - O. Abdel-Hamid, L. Deng, D. Yu and **H. Jiang**, "Deep Segmental Neural Network for Automatic Speech Recognition," //Proc. of Interspeech//, Lyon, France, 2013. ({{:publication:segmentalnn_final.pdf|pdf}})
  - O. Abdel-Hamid and **H. Jiang**, "Rapid and Effective Speaker Adaptation of Convolutional Neural Network Based Models for Speech Recognition," //Proc. of Interspeech//, Lyon, France, 2013. ({{:publication:cnn_adapt_final.pdf|pdf}})
  - Y. Bao, **H. Jiang**, L. Dai, C. Liu, "Incoherent Training of Deep Neural Networks to De-correlate Bottleneck Features for Speech Recognition," //Proc. of IEEE International
Conference on Acoustics, Speech, and Signal Processing (ICASSP'13)//, Vancouver, Canada, 2013. ({{:publication:revisedfinalversion_yebobao_icassp2013.pdf|pdf}})
  - O. Abdel-Hamid and **H. Jiang**, "Fast Speaker Adaptation Of Hybrid NN/HMM Model for Speech Recognition based on Discriminative Learning of Speaker Code," //Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'13)//,  Canada, 2013. ({{:publication:adaptation-revised.pdf|pdf}})
  - P. Zhou, C. Liu, Q. Liu, L. Dai and **H. Jiang**, "A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition," //Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'13)//, Vancouver, Canada, 2013. ({{:publication:icassp2013_panzhou_revised.pdf|pdf}})
  - J. Pan, C. Liu, Z. Wang, Y. Hu and **H. Jiang**, "Investigations of Deep Neural Networks for Large Vocabulary Continuous Speech Recognition: Why DNN Surpasses GMMs in Acoustic Modelling", //Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP'2012)//, Hong Kong, 2012. ({{:publication:dnn_asr_v4.pdf|pdf}})
  - Y. Bao, **H. Jiang**, C. Liu, Y. Hu and L. Dai, "Investigation on dimensionality reduction of concatenated features with deep neural network for LVCSR systems," //Proc. of 11th IEEE International Conference on Signal Processing (ICSP'2012)//, Beijing, China, 2012. 
  - O. Abdel-Hamid, A. Mohamed, **H. Jiang**, G. Penn, "Applying Convolutional Neural Networks Concepts to Hybrid NN-HMM Model for Speech Recognition," //Proc. of IEEE International Conference on Acoustic, Speech, Signal Processing (ICASSP'2012)//, Japan, March 2012. ({{:publication:speech_cnn.pdf|pdf}})