Xu Sun

According to our database1, Xu Sun authored at least 136 papers between 2006 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2020
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.
IEEE Trans. Knowl. Data Eng., 2020

Mining Commonsense Facts from the Physical World.
CoRR, 2020

2019
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency.
ACM Trans. Asian & Low-Resource Lang. Inf. Process., 2019

Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO).
Inf. Sci., 2019

Visual Agreement Regularized Training for Multi-Modal Machine Translation.
CoRR, 2019

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection.
CoRR, 2019

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning.
CoRR, 2019

Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks.
CoRR, 2019

An Adaptive and Momental Bound Method for Stochastic Learning.
CoRR, 2019

Pun-GAN: Generative Adversarial Network for Pun Generation.
CoRR, 2019

Incorporating Fine-grained Events in Stock Movement Prediction.
CoRR, 2019

Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.
CoRR, 2019

Recursive Graphical Neural Networks for Text Classification.
CoRR, 2019

Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting.
CoRR, 2019

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View.
CoRR, 2019

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation.
CoRR, 2019

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model.
CoRR, 2019

Memorized Sparse Backpropagation.
CoRR, 2019

Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning.
CoRR, 2019

Understanding and Improving Layer Normalization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploring and Distilling Cross-Modal Information for Image Captioning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Gradient Methods with Dynamic Bound of Learning Rate.
Proceedings of the 7th International Conference on Learning Representations, 2019

Aligning Cross-Lingual Entities with Multi-Aspect Information.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Asking Clarification Questions in Knowledge-Based Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Pun-GAN: Generative Adversarial Network for Pun Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Imitation Learning for Non-Autoregressive Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Fine-grained Text Sentiment Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Control the Fine-grained Sentiment for Story Ending Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Personalized End-to-End Goal-Oriented Dialog.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2018

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy.
CoRR, 2018

Unsupervised Machine Commenting with Neural Variational Topic Model.
CoRR, 2018

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet.
CoRR, 2018

A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification.
CoRR, 2018

Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model.
CoRR, 2018

Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions.
CoRR, 2018

Automatic Transferring between Ancient Chinese and Contemporary Chinese.
CoRR, 2018

Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation.
CoRR, 2018

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.
CoRR, 2018

Exploration on Generating Traditional Chinese Medicine Prescription from Symptoms with an End-to-End method.
CoRR, 2018

Accelerating Graph-Based Dependency Parsing with Lock-Free Parallel Perceptron.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Building an Ellipsis-aware Chinese Dependency Treebank for Web Text.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Sentiment Memories for Sentiment Modification without Parallel Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Proceedings of the 27th International Conference on Computational Linguistics, 2018

SGM: Sequence Generation Model for Multi-label Classification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Neural Question Answering Model Based on Semi-Structured Tables.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Deconvolution-Based Global Decoding for Neural Machine Translation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Question Condensing Networks for Answer Selection in Community Question Answering.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Bag-of-Words as Target for Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Global Encoding for Abstractive Summarization.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Duplicate Question Identification by Integrating FrameNet With Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Modeling Scientific Influence for Research Trending Topic Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing.
CoRR, 2017

Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing.
CoRR, 2017

Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?
CoRR, 2017

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text.
CoRR, 2017

Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method.
CoRR, 2017

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning.
CoRR, 2017

Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks.
CoRR, 2017

A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification.
CoRR, 2017

Minimal Effort Back Propagation for Convolutional Neural Networks.
CoRR, 2017

Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
CoRR, 2017

Lock-Free Parallel Perceptron for Graph-based Dependency Parsing.
CoRR, 2017

A Generic Online Parallel Learning Framework for Large Margin Models.
CoRR, 2017

Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Cascading Multiway Attentions for Document-level Sentiment Classification.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting.
Proceedings of the 34th International Conference on Machine Learning, 2017

F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A New Recurrent Neural CRF for Learning Non-linear Edge Features.
CoRR, 2016

Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features.
Proceedings of the COLING 2016, 2016

Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Knowledge-Based Semantic Embedding for Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Towards Shockingly Easy Structured Classification: A Search-based Probabilistic Online Learning Framework.
CoRR, 2015

Multi-label Text Categorization with Joint Learning Predictions-as-Features Method.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Structure Regularization for Structured Prediction: Theories and Experiments.
CoRR, 2014

Exact Decoding on Latent Variable Conditional Models is NP-Hard.
CoRR, 2014

Feature-Frequency-Adaptive On-line Training for Fast and Accurate Natural Language Processing.
Computational Linguistics, 2014

Structure Regularization for Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Coarse-grained Candidate Generation and Fine-grained Re-ranking for Chinese Abbreviation Prediction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Latent Structured Perceptrons for Large-Scale Learning with Hidden Information.
IEEE Trans. Knowl. Data Eng., 2013

Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning.
IEEE Trans. Knowl. Data Eng., 2013

Learning Abbreviations from Chinese and English Terms by Modeling Non-Local Information.
ACM Trans. Asian Lang. Inf. Process., 2013

Probabilistic Chinese word segmentation with non-local information and stochastic training.
Inf. Process. Manag., 2013

Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A unified graph model for personalized query-oriented reference paper recommendation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Query spelling correction using multi-task learning.
Proceedings of the 21st World Wide Web Conference, 2012

Fast multi-task learning for query spelling correction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection.
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
Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

A New Multi-task Learning Method for Personalized Activity Recognition.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method.
Proceedings of the ICDM 2010, 2010

A Large Scale Ranker-Based System for Search Query Spelling Correction.
Proceedings of the COLING 2010, 2010

Learning Phrase-Based Spelling Error Models from Clickthrough Data.
Proceedings of the ACL 2010, 2010

2009
A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Latent Variable Perceptron Algorithm for Structured Classification.
Proceedings of the IJCAI 2009, 2009

Sequential Labeling with Latent Variables: An Exact Inference Algorithm and its Efficient Approximation.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information.
Proceedings of the ACL 2009, 2009

2008
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression.
J. Comput. Sci. Technol., 2008

Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference.
Proceedings of the COLING 2008, 2008

2007
Word Clustering for Collocation-Based Word Sense Disambiguation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2007

2006
Chinese Abbreviation-Definition Identification: A SVM Approach Using Context Information.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Chinese Abbreviation Identification Using Abbreviation-Template Features and Context Information.
Proceedings of the Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead, 2006


  Loading...