Kehai Chen

According to our database, Kehai Chen authored at least 104 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective.

Meizhi Zhong, Chen Zhang, Yikun Lei, Xikai Liu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty.

Meizhi Zhong, Xikai Liu, Chen Zhang, Yikun Lei, Yan Gao, Yao Hu, Kehai Chen, Min Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Modeling Inter-Aspect Relations With Clause and Contrastive Learning for Aspect-Based Sentiment Analysis.

Zhixun Qiu, Kehai Chen, Yun Xue, Zhihao Ma, Zhengxuan Zhang

IEEE Trans. Comput. Soc. Syst., April, 2024

Multi-view fusion for universal translation quality estimation.

Hui Huang, Shuangzhi Wu, Kehai Chen, Xinnian Liang, Hui Di, Muyun Yang, Tiejun Zhao

Inf. Fusion, February, 2024

Multi-view fusion for instruction mining of large language model.

Hui Huang, Bing Xu, Xinnian Liang, Kehai Chen, Muyun Yang, Tiejun Zhao, Conghui Zhu

Inf. Fusion, 2024

Hierarchical Latent Alignment for Non-Autoregressive Generation under High Compression Ratio.

Wang Xu, Yongliang Ma, Kehai Chen, Ming Zhou, Muyun Yang, Tiejun Zhao

IEICE Trans. Inf. Syst., 2024

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning.

Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Min Zhang

CoRR, 2024

LLM-based Discriminative Reasoning for Knowledge Graph Question Answering.

Mufan Xu, Kehai Chen, Xuefeng Bai, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation.

Andong Chen, Yuchen Song, Kehai Chen, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Tasks.

Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang

CoRR, 2024

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM.

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

MoDification: Mixture of Depths Made Easy.

Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song

CoRR, 2024

LLM-based Translation Inference with Iterative Bilingual Understanding.

Andong Chen, Kehai Chen, Yang Xiang, Xuefeng Bai, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

MemLong: Memory-Augmented Retrieval for Long Text Modeling.

Weijie Liu, Zecheng Tang, Juntao Li, Kehai Chen, Min Zhang

CoRR, 2024

TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models.

Zelin Li, Kehai Chen, Xuefeng Bai, Lemao Liu, Mingming Yang, Yang Xiang, Min Zhang

CoRR, 2024

LLM with Relation Classifier for Document-Level Relation Extraction.

Xingzuo Li, Kehai Chen, Yunfei Long, Min Zhang

CoRR, 2024

Benchmarking LLMs for Translating Classical Chinese Poetry:Evaluating Adequacy, Fluency, and Elegance.

Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang

CoRR, 2024

A Survey on Human Preference Learning for Large Language Models.

Ruili Jiang, Kehai Chen, Xuefeng Bai, Zhixuan He, Juntao Li, Muyun Yang, Tiejun Zhao, Liqiang Nie, Min Zhang

CoRR, 2024

Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.

Yixin Ji, Yang Xiang, Juntao Li, Wei Chen, Zhongyi Liu, Kehai Chen, Min Zhang

CoRR, 2024

When Large Language Models Meet Vector Databases: A Survey.

Zhi Jing, Yongye Su, Yikun Han, Bo Yuan, Haiyun Xu, Chunjiang Liu, Kehai Chen, Min Zhang

CoRR, 2024

A Study on Global Oceanic Chlorophyll-a Concentration Inversion Model for MODIS Using Machine Learning Algorithms.

Kehai Chen, Jinlan Zhang, Yan Zheng, Xuetong Xie

IEEE Access, 2024

EmoCRT: An Emotion-Cause Relation Enhanced Model for Causal Emotion Entailment.

Zhilong Zhao, Bing Xu, Bufan Xu, Muyun Yang, Kehai Chen, Tiejun Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Dynamic Planning for LLM-based Graphical User Interface Automation.

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.

Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering.

Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Context Consistency between Training and Inference in Simultaneous Machine Translation.

Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On the Hallucination in Simultaneous Machine Translation.

Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model.

Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation.

Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Efficient Domain Adaptation for Non-Autoregressive Machine Translation.

Wangjie You, Pei Guo, Juntao Li, Kehai Chen, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Unsupervised Sign Language Translation and Generation.

Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms.

Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Semi-automatic representation of design code based on knowledge graph for automated compliance checking.

Mingsong Yang, Qin Zhao, Lei Zhu, Haining Meng, Kehai Chen, Zongjian Li, Xinhong Hei

Comput. Ind., September, 2023

Universal Multimodal Representation for Language Understanding.

Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Document-Level Relation Extraction with Path Reasoning.

Wang Xu, Kehai Chen, Tiejun Zhao

ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

Context Consistency between Training and Testing in Simultaneous Machine Translation.

Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang

CoRR, 2023

A Closer Look at Transformer Attention for Multilingual Translation.

Jingyi Zhang, Gerard de Melo, Hongfei Xu, Kehai Chen

Proceedings of the Eighth Conference on Machine Translation, 2023

INFORM : Information eNtropy based multi-step reasoning FOR large language Models.

Chuyue Zhou, Wangjie You, Juntao Li, Jing Ye, Kehai Chen, Min Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PromptST: Abstract Prompt Learning for End-to-End Speech Translation.

Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Low-resource Question Answering by Augmenting Question Information.

Andong Chen, Yuan Sun, Xiaobing Zhao, Rosella P. Galindo Esparza, Kehai Chen, Yang Xiang, Tiejun Zhao, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Translation Quality Estimation with Bias Mitigation.

Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang, Tiejun Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Pattern Driven Graph Ranking Approach to Attribute Extraction for Knowledge Graph.

Muyun Yang, Kehai Chen, Shuqi Sun, Zhongyuan Han, Leilei Kong, Qingye Meng

IEEE Trans. Ind. Informatics, 2022

Data-Driven Fuzzy Target-Side Representation for Intelligent Translation System.

Kehai Chen, Muyun Yang, Tiejun Zhao, Min Zhang

IEEE Trans. Fuzzy Syst., 2022

Integrating Prior Translation Knowledge Into Neural Machine Translation.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Advancing Chinese Event Detection via Revisiting Character Information.

Yanxia Qin, Zhongqing Wang, Yue Zhang, Kehai Chen, Min Zhang

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Text Compression-Aided Transformer Encoding.

Zuchao Li, Zhuosheng Zhang, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Document-Level Relation Extraction with Sentences Importance Estimation and Focusing.

Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Effective Graph Context Representation for Document-level Machine Translation.

Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

An Improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation.

Binhuan Yuan, Yueyang Li, Kehai Chen, Hao Lu, Muyun Yang, Hailong Cao

Proceedings of the Machine Translation - 18th China Conference, 2022

Synchronous Refinement for Neural Machine Translation.

Kehai Chen, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Modeling Future Cost for Neural Machine Translation.

Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, Tiejun Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Unsupervised Neural Machine Translation for Similar and Distant Language Pairs: An Empirical Study.

Haipeng Sun, Rui Wang, Masao Utiyama, Benjamin Marie, Kehai Chen, Eiichiro Sumita, Tiejun Zhao

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Context-aware positional representation for self-attention networks.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

Neurocomputing, 2021

Document-Level Neural Machine Translation with Associated Memory Network.

Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu

IEICE Trans. Inf. Syst., 2021

Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios.

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Discriminative Reasoning for Document-level Relation Extraction.

Wang Xu, Kehai Chen, Tiejun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Document-Level Relation Extraction with Reconstruction.

Wang Xu, Kehai Chen, Tiejun Zhao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Hierarchical Clustering Approach to Fuzzy Semantic Representation of Rare Words in Neural Machine Translation.

Muyun Yang, Shujie Liu, Kehai Chen, Hongyang Zhang, Enbo Zhao, Tiejun Zhao

IEEE Trans. Fuzzy Syst., 2020

A Novel Sentence-Level Agreement Architecture for Neural Machine Translation.

Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, Min Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Unsupervised Neural Machine Translation With Cross-Lingual Language Representation Agreement.

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Towards More Diverse Input Representation for Neural Machine Translation.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao, Muyun Yang, Hai Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Neural Machine Translation with Target-Attention Model.

Mingming Yang, Min Zhang, Kehai Chen, Rui Wang, Tiejun Zhao

IEICE Trans. Inf. Syst., 2020

Explicit Reordering for Neural Machine Translation.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

CoRR, 2020

Robust Unsupervised Neural Machine Translation with Adversarial Training.

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

CoRR, 2020

An Adaptive GaoFen-3 SAR Wind Field Retrieval Algorithm Based on Information Entropy.

Kehai Chen, Xuetong Xie, Mingsen Lin

IEEE Access, 2020

SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task.

Zuchao Li, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita

Proceedings of the Fifth Conference on Machine Translation, 2020

Data-dependent Gaussian Prior Objective for Language Generation.

Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020

Neural Machine Translation with Universal Visual Representation.

Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Machine Reading Comprehension by Learning Soft labels.

Zhenyu Zhao, Shuangzhi Wu, Muyun Yang, Kehai Chen, Tiejun Zhao

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training.

Haipeng Sun, Rui Wang, Kehai Chen, Xugang Lu, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation.

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Content Word Aware Neural Machine Translation.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Explicit Sentence Compression for Neural Machine Translation.

Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Neural Machine Translation With Sentence-Level Topic Context.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2019

A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction.

Xuefeng Bai, Hailong Cao, Kehai Chen, Tiejun Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Probing Contextualized Sentence Representations with Visual Awareness.

Zhuosheng Zhang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Hai Zhao

CoRR, 2019

Document-level Neural Machine Translation with Inter-Sentence Attention.

Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-Liang Lu

CoRR, 2019

An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation.

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

CoRR, 2019

Automatic diagnosis of cardiac arrhythmia in electrocardiograms via multigranulation computing.

Fenghuan Li, Kehai Chen, Jie Ling, Yinwei Zhan, Gunasekaran Manogaran

Appl. Soft Comput., 2019

NICT's Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task.

Benjamin Marie, Haipeng Sun, Rui Wang, Kehai Chen, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita

Proceedings of the Fourth Conference on Machine Translation, 2019

NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task.

Raj Dabre, Kehai Chen, Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita

Proceedings of the Fourth Conference on Machine Translation, 2019

A SST-Dependent Geophysical Model Function for HY-2A Microwave Scatterometer.

Xuetong Xie, Dongxuan Tian, Kehai Chen, Zhifeng Wu, Songhong Tan

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Recurrent Positional Embedding for Neural Machine Translation.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

NICT's Machine Translation Systems for CCMT-2019 Translation Task.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

Proceedings of the Machine Translation - 15th China Conference, 2019

English-Myanmar Supervised and Unsupervised NMT: NICT's Machine Translation Systems at WAT-2019.

Rui Wang, Haipeng Sun, Kehai Chen, Chenchen Ding, Masao Utiyama, Eiichiro Sumita

Proceedings of the 6th Workshop on Asian Translation, 2019

Sentence-Level Agreement for Neural Machine Translation.

Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Lattice-Based Transformer Encoder for Neural Machine Translation.

Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation.

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Machine Translation with Reordering Embeddings.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Sentence Selection and Weighting for Neural Machine Translation Domain Adaptation.

Rui Wang, Masao Utiyama, Andrew M. Finch, Lemao Liu, Kehai Chen, Eiichiro Sumita

IEEE ACM Trans. Audio Speech Lang. Process., 2018

A Neural Approach to Source Dependence Based Context Model for Statistical Machine Translation.

Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu, Akihiro Tamura, Rui Wang, Masao Utiyama, Eiichiro Sumita

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Syntax-Based Context Representation for Statistical Machine Translation.

Kehai Chen, Tiejun Zhao, Muyun Yang

IEICE Trans. Inf. Syst., 2018

Syntax-Directed Attention for Neural Machine Translation.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Context-Aware Smoothing for Neural Machine Translation.

Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Instance Weighting for Neural Machine Translation Domain Adaptation.

Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, Eiichiro Sumita

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation with Source Dependency Representation.

Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, Tiejun Zhao

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Translation Prediction with Source Dependency-Based Context Representation.

Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improving Dependency Parsing on Clinical Text with Syntactic Clusters from Web Text.

Xiuming Qiao, Hailong Cao, Tiejun Zhao, Kehai Chen

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2013

A Novel Integrated Algorithm for Wind Vector Retrieval from Conically Scanning Scatterometers.

Xuetong Xie, Zhou Huang, Mingsen Lin, Kehai Chen, Youguo Lan, Xinzhe Yuan, Xiaomin Ye, Juhong Zou

Remote. Sens., 2013

2012

A wind direction extension based algorithm for scatterometer wind vector retrieval.

Xuetong Xie, Mingsen Lin, Kehai Chen, Zhou Huang, Lixia Liu, Dongxuan Tian, Xiaoning Wang, Wenxin Chen, Rongrong He, Juhong Zou

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

A study on wind vector retrieval algorithm for rotating fan-beam scatterometer.

Xuetong Xie, Shi Huan, Jianqiang Liu, Shuyan Lang, Youguang Zhang, Di Zhu, Kehai Chen, Juhong Zou, Zhou Huang, Weijun Tao

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2008

Validation of QSCAT-1 Geophysical Model Function Using Seawinds Level 2 and Buoy Data.

Xuetong Xie, Qiming Zeng, Weidong Hu, Wenxian Yu, Kehai Chen, Yu Fang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

A Study on Geophysical Model Function Modeling with Water Surface Temperature as One of the Input Parameters.

Xuetong Xie, Kehai Chen, Wenxian Yu, Weidong Hu, Qiming Zeng, Yu Fang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2005

A new fast wind vector retrieval algorithm for seawinds scatterometer.

Xuetong Xie, Yu Fang, Xiaoxiang Chen, Kehai Chen

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005