Hui Jiang
Affiliations:- York University, Department of Electrical Engineering and Computer Science, Toronto, ON, Canada
According to our database1,
Hui Jiang
authored at least 131 papers
between 1994 and 2023.
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Bibliography
2023
The Vertical Distribution of Ice-Nucleating Particles over the North China Plain: A Case of Cold Front Passage.
Remote. Sens., October, 2023
2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
CoRR, 2019
A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases.
CoRR, 2019
Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2018
Proceedings of the Information Management and Big Data, 5th International Conference, 2018
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
IEEE ACM Trans. Audio Speech Lang. Process., 2017
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering.
CoRR, 2017
Proceedings of the 2017 Text Analysis Conference, 2017
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Feedforward sequential memory networks based encoder-decoder model for machine translation.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems.
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
Speaker Adaptation of Hybrid NN/HMM Model for Speech Recognition Based on Singular Value Decomposition.
J. Signal Process. Syst., 2016
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks.
J. Mach. Learn. Res., 2016
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection.
CoRR, 2016
CoRR, 2016
Proceedings of the 2016 Text Analysis Conference, 2016
The USTC NELSLIP Systems for Trilingual Entity Detection and Linking Tasks at TAC KBP 2016.
Proceedings of the 2016 Text Analysis Conference, 2016
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification.
Proceedings of the NAACL HLT 2016, 2016
Compact Feedforward Sequential Memory Networks for Large Vocabulary Continuous Speech Recognition.
Proceedings of the Interspeech 2016, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
State-Clustering Based Multiple Deep Neural Networks Modeling Approach for Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2015
Discriminative learning of generative models: large margin multinomial mixture models for document classification.
Pattern Anal. Appl., 2015
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency.
CoRR, 2015
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models.
CoRR, 2015
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks.
CoRR, 2015
Proceedings of the INTERSPEECH 2015, 2015
Unsupervised speaker adaptation of deep neural network based on the combination of speaker codes and singular value decomposition for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Fast adaptation of deep neural network based on discriminant codes for speech recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2014
IEEE ACM Trans. Audio Speech Lang. Process., 2014
Speaker adaptation of hybrid NN/HMM model for speech recognition based on singular value decomposition.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014
Speaker adaptive bottleneck features extraction for LVCSR based on discriminative learning of speaker codes.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014
Sequence training of multiple deep neural networks for better performance and faster training speed.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the INTERSPEECH 2013, 2013
Rapid and effective speaker adaptation of convolutional neural network based models for speech recognition.
Proceedings of the INTERSPEECH 2013, 2013
A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013
Incoherent training of deep neural networks to de-correlate bottleneck features for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013
Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
BMC Bioinform., 2012
Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling.
Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012
Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Large-Margin Estimation of Hidden Markov Models With Second-Order Cone Programming for Speech Recognition.
IEEE Trans. Speech Audio Process., 2011
Trust Region-Based Optimization for Maximum Mutual Information Estimation of HMMs in Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2011
Boosted Mixture Learning of Gaussian Mixture Hidden Markov Models Based on Maximum Likelihood for Speech Recognition.
IEEE Trans. Speech Audio Process., 2011
Gene Network Modules-Based Liner Discriminant Analysis of Microarray Gene Expression Data.
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
IEEE Signal Process. Mag., 2010
Comput. Speech Lang., 2010
BMC Bioinform., 2010
Proceedings of the INTERSPEECH 2010, 2010
Large margin estimation of n-gram language models for speech recognition via linear programming.
Proceedings of the IEEE International Conference on Acoustics, 2010
A bounded trust region optimization for discriminative training of HMMS in speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010
Model-mapping based Voice Conversion System - A Novel Approach to Improve Voice Similarity and Naturalness using Model-based Speech Synthesis Techniques.
Proceedings of the BIOSIGNALS 2010, 2010
2009
Second Order Cone Programming (SOCP) Relaxations for Large Margin HMMs in Speech Recognition.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
Online model adaptation for voice conversion using model-based speech synthesis techniques.
Proceedings of the INTERSPEECH 2009, 2009
Maximum mutual information estimation via second order cone programming for large vocabulary continuous speech recognition.
Proceedings of the INTERSPEECH 2009, 2009
A trust region based optimization for maximum mutual information estimation of HMMS in speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2009
Psychoacoustically-motivated adaptive beta-order generalized spectral subtraction for cochlear implant patients.
Proceedings of the IEEE International Conference on Acoustics, 2009
Discriminative training of n-gram language models for speech recognition via linear programming.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
2008
IEEE Trans. Speech Audio Process., 2008
Proceedings of the INTERSPEECH 2008, 2008
Psychoacoustically-motivated adaptive β-order generalized spectral subtraction based on data-driven optimization.
Proceedings of the INTERSPEECH 2008, 2008
2007
IEEE Trans. Speech Audio Process., 2007
IEEE Trans. Speech Audio Process., 2007
Statistical Analysis of Minimum Classification Error Learning for Gaussian and Hidden Markov Model Classifiers.
IEEE Trans. Speech Audio Process., 2007
A fast optimization method for large margin estimation of HMMs based on second order cone programming.
Proceedings of the INTERSPEECH 2007, 2007
A Constrained Line Search Optimization for Discriminative Training in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Incorporating Training Errors for Large Margin HMMS Under Semi-Definite Programming Framework.
Proceedings of the IEEE International Conference on Acoustics, 2007
A compact semidefinite programming (SDP) formulation for large margin estimation of HMMS in speech recognition.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007
2006
IEEE Trans. Speech Audio Process., 2006
IEEE Trans. Speech Audio Process., 2006
Proceedings of the INTERSPEECH 2006, 2006
Recent Improvement on Maximum Relative Margin Estimation of HMMS for Speech Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
A Dynamic In-Search Data Selection Method With Its Applications to Acoustic Modeling and Utterance Verification.
IEEE Trans. Speech Audio Process., 2005
A new verification-based fast-match for large vocabulary continuous speech recognition.
IEEE Trans. Speech Audio Process., 2005
Discriminative training and support vector machine for natural language call routing.
Proceedings of the INTERSPEECH 2005, 2005
Proceedings of the INTERSPEECH 2005, 2005
Discriminative Training Based on the Criterion of Least Phone Competing Tokens for Large Vocabulary Speech Recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Statistical Performance Analysis of MCE/GPD Learning in Gaussian Classifiers and Hidden Markov Models.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
A comparative study on various confidence measures in large vocabulary speech recognition.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004
Constrained minimization technique for topic identification using discriminative training and support vector machines.
Proceedings of the INTERSPEECH 2004, 2004
Discriminative training of naive Bayes classifiers for natural language call routing.
Proceedings of the INTERSPEECH 2004, 2004
2003
A new approach to utterance verification based on neighborhood information in model space.
IEEE Trans. Speech Audio Process., 2003
2002
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition.
IEEE Trans. Speech Audio Process., 2002
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
Proceedings of the IEEE International Conference on Acoustics, 2002
A dynamic in-search discriminative training approach for large vocabulary speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
A Bayesian approach to the verification problem: applications to speaker verification.
IEEE Trans. Speech Audio Process., 2001
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001
A data selection strategy for utterance verification in continuous speech recognition.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
IEEE Trans. Speech Audio Process., 2000
Rapid adaptation of n-gram language models using inter-word correlation for speech recognition.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000
A robust training strategy against extraneous acoustic variations for spontaneous speech recognition.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000
1999
IEEE Trans. Speech Audio Process., 1999
Improving Viterbi Bayesian predictive classification via sequential bayesian learning in robust speech recognition.
Speech Commun., 1999
1998
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998
1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1994
State-codebook based quasi continuous density hidden Markov model with applications to recognition of Chinese syllables.
Proceedings of the 3rd International Conference on Spoken Language Processing, 1994