Xiaodong He

According to our database1, Xiaodong He authored at least 127 papers between 2003 and 2018.

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Bibliography

2018
From Eliza to XiaoIce: challenges and opportunities with social chatbots.
Frontiers of IT & EE, 2018

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations.
CoRR, 2018

The Neural Painter: Multi-Turn Image Generation.
CoRR, 2018

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation.
CoRR, 2018

Discourse-Aware Neural Rewards for Coherent Text Generation.
CoRR, 2018

Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning.
CoRR, 2018

Deep Communicating Agents for Abstractive Summarization.
CoRR, 2018

Natural Language to Structured Query Generation via Meta-Learning.
CoRR, 2018

Attentive Tensor Product Learning for Language Generation and Grammar Parsing.
CoRR, 2018

From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots.
CoRR, 2018

Natural Language to Structured Query Generation via Meta-Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Tensor Product Generation Networks for Deep NLP Modeling.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Deep Communicating Agents for Abstractive Summarization.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Discourse-Aware Neural Rewards for Coherent Text Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Question-Answering with Grammatically-Interpretable Representations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Learning for Image-to-Text Generation: A Technical Overview.
IEEE Signal Process. Mag., 2017

Editorial.
Machine Translation, 2017

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks.
CoRR, 2017

A Neural-Symbolic Approach to Natural Language Tasks.
CoRR, 2017

Tensor Product Generation Networks.
CoRR, 2017

Deep Learning of Grammatically-Interpretable Representations Through Question-Answering.
CoRR, 2017

Reinforcement Learning with External Knowledge and Two-Stage Q-functions for Predicting Popular Reddit Threads.
CoRR, 2017

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension.
CoRR, 2017

Character-level Deep Conflation for Business Data Analytics.
CoRR, 2017

Character-level deep conflation for business data analytics.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning Generic Sentence Representations Using Convolutional Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Semantic Compositional Networks for Visual Captioning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

StyleNet: Generating Attractive Visual Captions with Styles.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2016

Rich Image Captioning in the Wild.
CoRR, 2016

Basic Reasoning with Tensor Product Representations.
CoRR, 2016

Generating Natural Questions About an Image.
CoRR, 2016

Visual Storytelling.
CoRR, 2016

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads.
CoRR, 2016

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition.
CoRR, 2016

Character-Level Question Answering with Attention.
CoRR, 2016

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks.
CoRR, 2016

Semantic Compositional Networks for Visual Captioning.
CoRR, 2016

Bi-directional Attention with Agreement for Dependency Parsing.
CoRR, 2016

Unsupervised Learning of Predictors from Unpaired Input-Output Samples.
CoRR, 2016

Table Cell Search for Question Answering.
Proceedings of the 25th International Conference on World Wide Web, 2016

Hierarchical Attention Networks for Document Classification.
Proceedings of the NAACL HLT 2016, 2016


Interpreting the prediction process of a deep network constructed from supervised topic models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Zero-shot learning of intent embeddings for expansion by convolutional deep structured semantic models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Character-Level Question Answering with Attention.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Bi-directional Attention with Agreement for Dependency Parsing.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

Stacked Attention Networks for Image Question Answering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Rich Image Captioning in the Wild.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Generating Natural Questions About an Image.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Deep Reinforcement Learning with a Natural Language Action Space.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

Introduction to the Special Section on Continuous Space and Related Methods in Natural Language Processing.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

Stacked Attention Networks for Image Question Answering.
CoRR, 2015

A Deep Embedding Model for Co-occurrence Learning.
CoRR, 2015

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval.
CoRR, 2015

Recurrent Reinforcement Learning: A Hybrid Approach.
CoRR, 2015

Reasoning in Vector Space: An Exploratory Study of Question Answering.
CoRR, 2015

Deep Reinforcement Learning with an Unbounded Action Space.
CoRR, 2015

Language Models for Image Captioning: The Quirks and What Works.
CoRR, 2015

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation.
CoRR, 2015

Data Selection With Fewer Words.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Learning and Continuous Representations for Natural Language Processing.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Deep Embedding Model for Co-occurrence Learning.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

From captions to visual concepts and back.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Detecting actionable items in meetings by convolutional deep structured semantic models.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base.
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

Language Models for Image Captioning: The Quirks and What Works.
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
Embedding Entities and Relations for Learning and Inference in Knowledge Bases.
CoRR, 2014

Learning Multi-Relational Semantics Using Neural-Embedding Models.
CoRR, 2014

Semantic Modelling with Long-Short-Term Memory for Information Retrieval.
CoRR, 2014

From Captions to Visual Concepts and Back.
CoRR, 2014

Learning semantic representations using convolutional neural networks for web search.
Proceedings of the 23rd International World Wide Web Conference, 2014

Modeling action-level satisfaction for search task satisfaction prediction.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Modeling Interestingness with Deep Neural Networks.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Semantic Parsing for Single-Relation Question Answering.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning Continuous Phrase Representations for Translation Modeling.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Optimization Algorithms and Applications for Speech and Language Processing.
IEEE Trans. Audio, Speech & Language Processing, 2013

Speech-Centric Information Processing: An Optimization-Oriented Approach.
Proceedings of the IEEE, 2013

Learning Semantic Representations for the Phrase Translation Model.
CoRR, 2013

Learning to extract cross-session search tasks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Personalized ranking model adaptation for web search.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Training MRF-Based Phrase Translation Models using Gradient Ascent.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.
Proceedings of the INTERSPEECH 2013, 2013

Random features for Kernel Deep Convex Network.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multi-style adaptive training for robust cross-lingual spoken language understanding.
Proceedings of the IEEE International Conference on Acoustics, 2013

End-to-end learning of parsing models for information retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2013

Recent advances in deep learning for speech research at Microsoft.
Proceedings of the IEEE International Conference on Acoustics, 2013

Deep stacking networks for information retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learning deep structured semantic models for web search using clickthrough data.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding.
Proceedings of the Seventh Workshop on Statistical Machine Translation, 2012

Use of kernel deep convex networks and end-to-end learning for spoken language understanding.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Towards deeper understanding: Deep convex networks for semantic utterance classification.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimization in speech-centric information processing: Criteria and techniques.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

New methods and evaluation experiments on translating TED talks in the IWSLT benchmark.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Learning Lexicon Models from Search Logs for Query Expansion.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Maximum Expected BLEU Training of Phrase and Lexicon Translation Models.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Speech Recognition, Machine Translation, and Speech Translation - A Unified Discriminative Learning Paradigm [Lecture Notes].
IEEE Signal Process. Mag., 2011

The MSR SYSTEM for IWSLT 2011 evaluation.
Proceedings of the 2011 International Workshop on Spoken Language Translation, 2011

Robust Speech Translation by Domain Adaptation.
Proceedings of the INTERSPEECH 2011, 2011

A novel decision function and the associated decision-feedback learning for speech translation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Why word error rate is not a good metric for speech recognizer training for the speech translation task?
Proceedings of the IEEE International Conference on Acoustics, 2011

Domain Adaptation via Pseudo In-Domain Data Selection.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010
Introduction to the Issue on Statistical Learning Methods for Speech and Language Processing.
J. Sel. Topics Signal Processing, 2010

Clickthrough-based translation models for web search: from word models to phrase models.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Improved Monolingual Hypothesis Alignment for Machine Translation System Combination.
ACM Trans. Asian Lang. Inf. Process., 2009

2008
Discriminative Learning for Speech Recognition: Theory and Practice
Synthesis Lectures on Speech and Audio Processing, Morgan & Claypool Publishers, 2008

Large-margin minimum classification error training: A theoretical risk minimization perspective.
Computer Speech & Language, 2008

Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
A new look at discriminative training for hidden Markov models.
Pattern Recognition Letters, 2007

Training Non-Parametric Features for Statistical Machine Translation.
Proceedings of the Second Workshop on Statistical Machine Translation, 2007

Using Word-Dependent Transition Models in HMM-Based Word Alignment for Statistical Machine Translation.
Proceedings of the Second Workshop on Statistical Machine Translation, 2007

Phone-discriminating minimum classification error (p-MCE) training for phonetic recognition.
Proceedings of the INTERSPEECH 2007, 2007

Large-Margin Minimum Classification Error Training for Large-Scale Speech Recognition Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
A Novel Learning Method for Hidden Markov Models in Speech and Audio Processing.
Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Use of incrementally regulated discriminative margins in MCE training for speech recognition.
Proceedings of the INTERSPEECH 2006, 2006

2003
Minimum classification error (MCE) model adaptation of continuous density HMMS.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Maximum a posteriori linear regression (MAPLR) variance adaptation for continuous density HMMS.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

minimum classification error linear regression for acoustic model adaptation of continuous density HMMS.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Minimum classification error linear regression for acoustic model adaptation of continuous density HMMs.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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