Hui Jiang

Affiliations:
  • York University, Department of Electrical Engineering and Computer Science, Toronto, ON, Canada


According to our database1, Hui Jiang authored at least 130 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

2019
Bandlimiting Neural Networks Against Adversarial Attacks.
CoRR, 2019

Effective Context and Fragment Feature Usage for Named Entity Recognition.
CoRR, 2019

A Multi-task Learning Approach for Named Entity Recognition using Local Detection.
CoRR, 2019

A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases.
CoRR, 2019

Fixed-Size Ordinally Forgetting Encoding Based Word Sense Disambiguation.
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

Dual-FOFE-net Neural Models for Entity Linking with PageRank.
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
Using Neural Network for Identifying Clickbaits in Online News Media.
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
Nonrecurrent Neural Structure for Long-Term Dependence.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering.
CoRR, 2017

FOFE-based Deep Neural Networks for Entity Discovery and Linking.
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

Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding.
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

A Local Detection Approach for Named Entity Recognition and Mention Detection.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Enhanced LSTM for Natural Language Inference.
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

Higher Order Recurrent Neural Networks.
CoRR, 2016

Neural Networks Models for Entity Discovery and Linking.
CoRR, 2016

Part-of-Speech Relevance Weights for Learning Word Embeddings.
CoRR, 2016

Probabilistic Reasoning via Deep Learning: Neural Association Models.
CoRR, 2016

Distraction-Based Neural Networks for Document Summarization.
CoRR, 2016

Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference.
CoRR, 2016

The YorkNRM Systems for Trilingual EDL Tasks at TAC KBP 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 17th Annual Conference of the International Speech Communication Association, 2016

Distraction-Based Neural Networks for Modeling Document.
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

Feedforward Sequential Memory Neural Networks without Recurrent Feedback.
CoRR, 2015

Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks.
CoRR, 2015

Rectified linear neural networks with tied-scalar regularization for LVCSR.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 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

Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints.
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

Revisiting Word Embedding for Contrasting Meaning.
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

Convolutional Neural Networks for Speech Recognition.
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

Improving deep neural networks for LVCSR using dropout and shrinking structure.
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
Deep segmental neural networks for speech recognition.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Rapid and effective speaker adaptation of convolutional neural network based models for speech recognition.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 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
Gene network modular-based classification of microarray samples.
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

Phase-sensitive speech enhancement for cochlear implant processing.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Parameter Estimation of Statistical Models Using Convex Optimization.
IEEE Signal Process. Mag., 2010

Discriminative training of HMMs for automatic speech recognition: A survey.
Comput. Speech Lang., 2010

Predicting protein functions by relaxation labelling protein interaction network.
BMC Bioinform., 2010

Boosted mixture learning of Gaussian mixture HMMs for speech recognition.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 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 10th Annual Conference of the International Speech Communication Association, 2009

Maximum mutual information estimation via second order cone programming for large vocabulary continuous speech recognition.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 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
A Constrained Line Search Optimization Method for Discriminative Training of HMMs.
IEEE Trans. Speech Audio Process., 2008

Large margin multinomial mixture model for text categorization.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Psychoacoustically-motivated adaptive β-order generalized spectral subtraction based on data-driven optimization.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

2007
Phase-Based Dual-Microphone Speech Enhancement Using A Prior Speech Model.
IEEE Trans. Speech Audio Process., 2007

Solving Large-Margin Hidden Markov Model Estimation via Semidefinite Programming.
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 8th Annual Conference of the International Speech Communication Association, 2007

A Constrained Line Search Optimization for Discriminative Training in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007

A New Minimum Divergence Approach to Discriminative Training.
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

A constrained line search approach to general discriminative HMM training.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

2006
Tree-Based Covariance Modeling of Hidden Markov Models.
IEEE Trans. Speech Audio Process., 2006

Large margin hidden Markov models for speech recognition.
IEEE Trans. Speech Audio Process., 2006

Solving large margin estimation of HMMS via semidefinite programming.
Proceedings of the Ninth International Conference on Spoken Language Processing, 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

Confidence measures for speech recognition: A survey.
Speech Commun., 2005

Discriminative training and support vector machine for natural language call routing.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Statistical noise compensation for cochlear implant processing.
Proceedings of the 9th European Conference on Speech Communication and Technology, 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

Discriminative Training of CDHMMs for Maximum Relative Separation Margin.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Hierarchical Correlation Compensation For Hidden Markov Models.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Large margin HMMs for speech recognition.
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 8th International Conference on Spoken Language Processing, 2004

Discriminative training of naive Bayes classifiers for natural language call routing.
Proceedings of the 8th International Conference on Spoken Language Processing, 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

Automatic enrollment for speaker authentication.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Utterance verification based on neighborhood information and Bayes factors.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Bell labs approach to Aurora evaluation on connected digit recognition.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Discriminative training of language models for speech recognition.
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

A real-time Japanese broadcast news closed-captioning system.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

A new verification-based fast match approach to large vocabulary speech recognition.
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

Evaluating the Aurora connected digit recognition task - a bell labs approach.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Hierarchical stochastic feature matching for robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
A minimax search algorithm for robust continuous speech recognition.
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
Robust speech recognition based on a Bayesian prediction approach.
IEEE Trans. Speech Audio Process., 1999

Improving Viterbi Bayesian predictive classification via sequential bayesian learning in robust speech recognition.
Speech Commun., 1999

1998
A minimax search algorithm for CDHMM based robust continuous speech recognition.
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
A Bayesian predictive classification approach to robust speech recognition.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Robust speech recognition based on Viterbi Bayesian predictive classification.
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


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