Yang Liu

Orcid: 0000-0002-3087-242X

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Yang Liu authored at least 184 papers between 2004 and 2024.

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

Timeline

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Online presence:

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Bibliography

2024
Gradual Syntactic Label Replacement for Language Model Pre-Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models.
CoRR, 2024

2023
Parameter-efficient fine-tuning of large-scale pre-trained language models.
Nat. Mac. Intell., March, 2023

AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation.
AI Open, January, 2023

Restricted orthogonal gradient projection for continual learning.
AI Open, January, 2023

Can Vision-Language Models Think from a First-Person Perspective?
CoRR, 2023

Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models.
CoRR, 2023

Pluggable Neural Machine Translation Models via Memory-augmented Adapters.
CoRR, 2023

Learning to Relate to Previous Turns in Conversational Search.
CoRR, 2023

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning.
CoRR, 2023

Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics.
CoRR, 2023

Black-box Prompt Tuning with Subspace Learning.
CoRR, 2023

Restricted Orthogonal Gradient Projection for Continual Learning.
CoRR, 2023

Learning to Relate to Previous Turns in Conversational Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics.
Proceedings of the International Conference on Machine Learning, 2023

End-to-End Full-Atom Antibody Design.
Proceedings of the International Conference on Machine Learning, 2023

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Conditional Antibody Design as 3D Equivariant Graph Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Continual Knowledge Distillation for Neural Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Weakly Supervised Vision-and-Language Pre-training with Relative Representations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dynamic Multi-Branch Layers for On-Device Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Exploring Multi-Stage Information Interactions for Multi-Source Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Interpretable Graph Transformer Network for Predicting Adsorption Isotherms of Metal-Organic Frameworks.
J. Chem. Inf. Model., 2022

Data augmentation for low-resource languages NMT guided by constrained sampling.
Int. J. Intell. Syst., 2022

Prompt Gating: A Parameter Efficient Tuning Method for Zero-Shot Multi-Source Translation.
CoRR, 2022

Continually Learning from Existing Models: Knowledge Accumulation for Neural Machine Translation.
CoRR, 2022

3D Equivariant Molecular Graph Pretraining.
CoRR, 2022

ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention.
CoRR, 2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.
CoRR, 2022

A Closer Look at the Adversarial Robustness of Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Molecule Generation by Principal Subgraph Mining and Assembling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Template-based Method for Constrained Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Integrating Vectorized Lexical Constraints for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Neural Machine Translation With Explicit Phrase Alignment.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Domain Adaptive Meta-Learning for Dialogue State Tracking.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning to Generate Explainable Plots for Neural Story Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Improving Data Augmentation for Low-Resource NMT Guided by POS-Tagging and Paraphrase Embedding.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Exploring Discriminative Word-Level Domain Contexts for Multi-Domain Neural Machine Translation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.
CoRR, 2021

A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition.
CoRR, 2021

GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures.
CoRR, 2021

Language Models are Good Translators.
CoRR, 2021

Pre-Trained Models: Past, Present and Future.
CoRR, 2021

Dynamic Multi-Branch Layers for On-Device Neural Machine Translation.
CoRR, 2021

CPM-2: Large-scale cost-effective pre-trained language models.
AI Open, 2021

Pre-trained models: Past, present and future.
AI Open, 2021

Towards a universal continuous knowledge base.
AI Open, 2021

Stochastic Anderson Mixing for Nonconvex Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-Supervised Quality Estimation for Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Knowledge Representation Learning with Contrastive Completion Coding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On the Language Coverage Bias for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Alternated Training with Synthetic and Authentic Data for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Transfer Learning for Sequence Generation: from Single-source to Multi-source.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Mask-Align: Self-Supervised Neural Word Alignment.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Incorporating Sememes into Chinese Definition Modeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Learning to Detect Unacceptable Machine Translations for Downstream Tasks.
CoRR, 2020

Neural machine translation: A review of methods, resources, and tools.
AI Open, 2020

Modeling Voting for System Combination in Machine Translation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Interpolation between Residual and Non-Residual Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Accurate Word Alignment Induction from Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Tsinghua University Neural Machine Translation Systems for CCMT 2020.
Proceedings of the Machine Translation - 16th China Conference, 2020

THUMT: An Open-Source Toolkit for Neural Machine Translation.
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

On the Inference Calibration of Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multi-Zone Unit for Recurrent Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Latent Attribute Based Hierarchical Decoder for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

POS Tag-enhanced Coarse-to-fine Attention for Neural Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Multi-Round Transfer Learning for Low-Resource NMT Using Multiple High-Resource Languages.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Exploiting reverse target-side contexts for neural machine translation via asynchronous bidirectional decoding.
Artif. Intell., 2019

Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning.
Proceedings of the Network and Parallel Computing, 2019

Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer.
Proceedings of the Computational Science - ICCS 2019, 2019

Iterative Dual Domain Adaptation for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Back-Translation with Uncertainty-based Confidence Estimation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to Copy for Automatic Post-Editing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Shared-Private Bilingual Word Embeddings for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Joint POS Tagging and Dependence Parsing With Transition-Based Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

A Hierarchy-to-Sequence Attentional Neural Machine Translation Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning to Remember Translation History with a Continuous Cache.
Trans. Assoc. Comput. Linguistics, 2018

Alignment-consistent recursive neural networks for bilingual phrase embeddings.
Knowl. Based Syst., 2018

Improving the Robustness of Speech Translation.
CoRR, 2018

Neural Network Methods for Natural Language Processing Yoav Goldberg (Bar Ilan University)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 37), 2017, xxii+287 pp; paperback, ISBN 9781627052986, $74.95; ebook, ISBN 9781627052955, $59.96; doi: 10.2200/S00762ED1V01Y201703HLT037.
Comput. Linguistics, 2018

Error Analysis of Uyghur Name Tagging: Language-specific Techniques and Remaining Challenges.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Improving the Transformer Translation Model with Document-Level Context.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Towards Robust Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Asynchronous Bidirectional Decoding for Neural Machine Translation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Context Gates for Neural Machine Translation.
Trans. Assoc. Comput. Linguistics, 2017

Neural Parse Combination.
J. Comput. Sci. Technol., 2017

Optimizing Non-Decomposable Evaluation Metrics for Neural Machine Translation.
J. Comput. Sci. Technol., 2017

Exploiting Unlabeled Data for Neural Grammatical Error Detection.
J. Comput. Sci. Technol., 2017

THUMT: An Open Source Toolkit for Neural Machine Translation.
CoRR, 2017

Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks.
CoRR, 2017

Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Training for Pivot-based Neural Machine Translation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Adversarial Training for Unsupervised Bilingual Lexicon Induction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Visualizing and Understanding Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

A Teacher-Student Framework for Zero-Resource Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Neural Machine Translation with Reconstruction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Maximum Reconstruction Estimation for Generative Latent-Variable Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Listwise Ranking Functions for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Coverage-based Neural Machine Translation.
CoRR, 2016

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation.
CoRR, 2016

Neural Machine Translation with Pivot Languages.
CoRR, 2016

Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization.
Proceedings of the COLING 2016, 2016

Modeling Coverage for Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Minimum Risk Training for Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Semi-Supervised Learning for Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Iterative Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Consistency-Aware Search for Word Alignment.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Generalized Agreement for Bidirectional Word Alignment.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Distributed Representations of Uyghur Words and Morphemes.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

A Context-Aware Topic Model for Statistical Machine Translation.
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 Cross-lingual Word Embeddings via Matrix Co-factorization.
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

Contrastive Unsupervised Word Alignment with Non-Local Features.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Topical Word Embeddings.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Topic-aware pivot language approach for statisticalmachine translation.
J. Zhejiang Univ. Sci. C, 2014

A Neural Reordering Model for Phrase-based Translation.
Proceedings of the COLING 2014, 2014

Query Lattice for Translation Retrieval.
Proceedings of the COLING 2014, 2014

2013
Recursive Autoencoders for ITG-Based Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Minimum Error Rate Training for Bilingual News Alignment.
Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013

A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

An Extended GHKM Algorithm for Inducing Lambda-SCFG.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Left-to-Right Tree-to-String Decoding with Prediction.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation.
Proceedings of the COLING 2012, 2012

Combining Multiple Alignments to Improve Machine Translation.
Proceedings of the COLING 2012, 2012

THUTR: A Translation Retrieval System.
Proceedings of the COLING 2012, 2012

A Beam Search Algorithm for ITG Word Alignment.
Proceedings of the COLING 2012, 2012

2011
Maximum Rank Correlation Training for Statistical Machine Translation.
Proceedings of Machine Translation Summit XIII: Papers, 2011

Extracting Hierarchical Rules from a Weighted Alignment Matrix.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

An Orientation Model for Hierarchical Phrase-Based Translation.
Proceedings of the International Conference on Asian Language Processing, 2011

Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

ETS: An Error Tolerable System for Coreference Resolution.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Adjoining Tree-to-String Translation.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Discriminative Word Alignment by Linear Modeling.
Comput. Linguistics, 2010

Statistical Translation Model Based On Source Syntax Structure.
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation, 2010

The ICT statistical machine translation system for IWSLT 2010.
Proceedings of the 2010 International Workshop on Spoken Language Translation, 2010

Multilingual Machine Translation system.
Proceedings of the 4th International Universal Communication Symposium, 2010

Joint Tokenization and Translation.
Proceedings of the COLING 2010, 2010

Dependency Forest for Statistical Machine Translation.
Proceedings of the COLING 2010, 2010

Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation.
Proceedings of the COLING 2010, 2010

Joint Parsing and Translation.
Proceedings of the COLING 2010, 2010

Effective Constituent Projection across Languages.
Proceedings of the COLING 2010, 2010

An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation.
Proceedings of the COLING 2010, 2010

Learning Lexicalized Reordering Models from Reordering Graphs.
Proceedings of the ACL 2010, 2010

Forest-Based Semantic Role Labeling.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
The ICT statistical machine translation system for the IWSLT 2009.
Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2009, 2009

The ICT statistical machine translation systems for the IWSLT 2009.
Proceedings of the 2009 International Workshop on Spoken Language Translation, 2009

Weighted Alignment Matrices for Statistical Machine Translation.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Lattice-based System Combination for Statistical Machine Translation.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Sub-Sentence Division for Tree-Based Machine Translation.
Proceedings of the ACL 2009, 2009

Joint Decoding with Multiple Translation Models.
Proceedings of the ACL 2009, 2009

Improving Tree-to-Tree Translation with Packed Forests.
Proceedings of the ACL 2009, 2009

2008
Synopsis Alignment: Importing External Text Information for Multi-model Movie Analysis.
Proceedings of the Advances in Multimedia Information Processing, 2008

The ICT system description for IWSLT 2008.
Proceedings of the 2008 International Workshop on Spoken Language Translation, 2008

Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007
The ICT statistical machine translation systems for IWSLT 2007.
Proceedings of the 2007 International Workshop on Spoken Language Translation, 2007

Forest-to-String Statistical Translation Rules.
Proceedings of the ACL 2007, 2007

2006
Tree-to-String Alignment Template for Statistical Machine Translation.
Proceedings of the ACL 2006, 2006

2005
Log-Linear Models for Word Alignment.
Proceedings of the ACL 2005, 2005

2004
An EBMT system based on word alignment.
Proceedings of the 2004 International Workshop on Spoken Language Translation, 2004


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