Yang Liu

According to our database, Yang Liu authored at least 227 papers between 2004 and 2024.

Collaborative distances:

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

2024

FedEL: Federated ensemble learning for non-iid data.

Xing Wu, Jie Pei, Xian-Hua Han, Yen-Wei Chen, Junfeng Yao, Yang Liu, Quan Qian, Yike Guo

Expert Syst. Appl., March, 2024

Black-Box Prompt Tuning With Subspace Learning.

Yuanhang Zheng, Zhixing Tan, Peng Li, Yang Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Gradual Syntactic Label Replacement for Language Model Pre-Training.

Yile Wang, Yue Zhang, Peng Li, Yang Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2024

On the Role of Attention Heads in Large Language Model Safety.

Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li

CoRR, 2024

Force-Guided Bridge Matching for Full-Atom Time-Coarsened Dynamics of Peptides.

Ziyang Yu, Wenbing Huang, Yang Liu

CoRR, 2024

Discovering symbolic expressions with parallelized tree search.

Kai Ruan, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu

CoRR, 2024

A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers.

Kaiyu Huang, Fengran Mo, Hongliang Li, You Li, Yuanchi Zhang, Weijian Yi, Yulong Mao, Jinchen Liu, Yuzhuang Xu, Jinan Xu, Jian-Yun Nie, Yang Liu

CoRR, 2024

ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy.

Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, 2024

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.

Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang

CoRR, 2024

OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models.

Yang Liu, Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Yang Liu, Maosong Sun, Erhong Yang

CoRR, 2024

OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models.

Yang Liu, Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Yang Liu, Maosong Sun, Erhong Yang

CoRR, 2024

Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules.

Rui Jiao, Xiangzhe Kong, Ziyang Yu, Wenbing Huang, Yang Liu

CoRR, 2024

Meta Ranking: Less Capable Language Models are Capable for Single Response Judgement.

Zijun Liu, Boqun Kou, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, 2024

Towards Unified Alignment Between Agents, Humans, and Environment.

Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

CoRR, 2024

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

Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu

CoRR, 2024

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu

CoRR, 2024

CBVS: A Large-Scale Chinese Image-Text Benchmark for Real-World Short Video Search Scenarios.

Xiangshuo Qiao, Xianxin Li, Xiaozhe Qu, Jie Zhang, Yang Liu, Yu Luo, Cihang Jin, Jin Ma

Proceedings of the 1st Workshop on Multimodal Search and Recommendations (MMSR 2024) co-located with 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 2024

Position: Towards Unified Alignment Between Agents, Humans, and Environment.

Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Equivariant Diffusion for Crystal Structure Prediction.

Peijia Lin, Pin Chen, Rui Jiao, Qing Mo, Jianhuan Cen, Wenbing Huang, Yang Liu, Dan Huang, Yutong Lu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning.

Xiangzhe Kong, Wenbing Huang, Yang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction.

Ziyang Yu, Wenbing Huang, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Space Group Constrained Crystal Generation.

Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FuseGen: PLM Fusion for Data-generation based Zero-shot Learning.

Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models.

Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond Chan, Ying Shan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models.

Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval.

Yuanhang Zheng, Peng Li, Wei Liu, Yang Liu, Jian Luan, Bin Wang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Pluggable Neural Machine Translation Models via Memory-augmented Adapters.

Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DEEM: Dynamic Experienced Expert Modeling for Stance Detection.

Xiaolong Wang, Yile Wang, Sijie Cheng, Peng Li, Yang Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Budget-Constrained Tool Learning with Planning.

Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

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

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages.

Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu

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

Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models.

Xiaolong Wang, Yile Wang, Yuanchi Zhang, Fuwen Luo, Peng Li, Maosong Sun, Yang Liu

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

Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion.

Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu

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

CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models.

Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu

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

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs.

An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

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

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models.

Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu

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

Model Composition for Multimodal Large Language Models.

Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu

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

2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Nat. Mac. Intell., March, 2023

AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation.

Qinhong Zhou, Peng Li, Yang Liu, Yuyang Guan, Qizhou Xing, Ming Chen, Maosong Sun, Yang Liu

AI Open, January, 2023

AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation.

Qinhong Zhou, Peng Li, Yang Liu, Yuyang Guan, Qizhou Xing, Ming Chen, Maosong Sun, Yang Liu

AI Open, January, 2023

Restricted orthogonal gradient projection for continual learning.

Zeyuan Yang, Zonghan Yang, Yichen Liu, Peng Li, Yang Liu

AI Open, January, 2023

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

Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu

CoRR, 2023

AI-accelerated Discovery of Altermagnetic Materials.

Ze-Feng Gao, Shuai Qu, Bocheng Zeng, Yang Liu, Ji-Rong Wen, Hao Sun, Peng-Jie Guo, Zhong-Yi Lu

CoRR, 2023

Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization.

Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, Diyi Yang

CoRR, 2023

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

Chi Chen, Ruoyu Qin, Fuwen Luo, Xiaoyue Mi, Peng Li, Maosong Sun, Yang Liu

CoRR, 2023

Learning to Relate to Previous Turns in Conversational Search.

Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu

CoRR, 2023

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

Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

CoRR, 2023

Restricted Orthogonal Gradient Projection for Continual Learning.

Zeyuan Yang, Zonghan Yang, Peng Li, Yang Liu

CoRR, 2023

Crystal Structure Prediction by Joint Equivariant Diffusion.

Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Relate to Previous Turns in Conversational Search.

Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu

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.

Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

End-to-End Full-Atom Antibody Design.

Xiangzhe Kong, Wenbing Huang, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.

Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Conditional Antibody Design as 3D Equivariant Graph Translation.

Xiangzhe Kong, Wenbing Huang, Yang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation.

Zeyuan Yang, Peng Li, Yang Liu

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

Self-Knowledge Guided Retrieval Augmentation for Large Language Models.

Yile Wang, Peng Li, Maosong Sun, Yang Liu

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

Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions.

Ziyue Wang, Chi Chen, Peng Li, Yang Liu

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.

Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu

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

Continual Knowledge Distillation for Neural Machine Translation.

Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu

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.

Kaiyu Huang, Peng Li, Jin Ma, Ting Yao, Yang Liu

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.

Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, Yang Liu

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.

Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu

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

Weakly Supervised Vision-and-Language Pre-training with Relative Representations.

Chi Chen, Peng Li, Maosong Sun, Yang Liu

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.

Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Zhixing Tan, Zeyuan Yang, Meng Zhang, Qun Liu, Maosong Sun, Yang Liu

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

Exploring Multi-Stage Information Interactions for Multi-Source Neural Machine Translation.

Ziyao Lu, Xiang Li, Yang Liu, Chulun Zhou, Jianwei Cui, Bin Wang, Min Zhang, Jinsong Su

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

Interpretable Graph Transformer Network for Predicting Adsorption Isotherms of Metal-Organic Frameworks.

Pin Chen, Rui Jiao, Jinyu Liu, Yang Liu, Yutong Lu

J. Chem. Inf. Model., 2022

CA-STD: Scene Text Detection in Arbitrary Shape Based on Conditional Attention.

Xing Wu, Yangyang Qi, Jun Song, Junfeng Yao, Yanzhong Wang, Yang Liu, Yuexing Han, Quan Qian

Inf., 2022

Data augmentation for low-resource languages NMT guided by constrained sampling.

Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, Maosong Sun

Int. J. Intell. Syst., 2022

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

Xuancheng Huang, Zijun Liu, Peng Li, Maosong Sun, Yang Liu

CoRR, 2022

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

Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu

CoRR, 2022

3D Equivariant Molecular Graph Pretraining.

Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu

CoRR, 2022

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

Yang Liu, Jiaxiang Liu, Li Chen, Yuxiang Lu, Shikun Feng, Zhida Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2022

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

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

CoRR, 2022

A Closer Look at the Adversarial Robustness of Deep Equilibrium Models.

Zonghan Yang, Tianyu Pang, Yang Liu

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.

Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu

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.

Fuchao Wei, Chenglong Bao, Yang Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation.

Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Template-based Method for Constrained Neural Machine Translation.

Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu

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.

Kaiyu Huang, Peng Li, Jin Ma, Yang Liu

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.

Chi Chen, Peng Li, Maosong Sun, Yang Liu

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.

Mingze Sun, Weizhi Ma, Yang Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Integrating Vectorized Lexical Constraints for Neural Machine Translation.

Shuo Wang, Zhixing Tan, Yang Liu

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.

Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition.

Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Neural Machine Translation With Explicit Phrase Alignment.

Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Yang Liu

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

Domain Adaptive Meta-Learning for Dialogue State Tracking.

Jiali Zeng, Yongjing Yin, Yang Liu, Yubin Ge, Jinsong Su

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

Learning to Generate Explainable Plots for Neural Story Generation.

Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, Maosong Sun

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

Improving Data Augmentation for Low-Resource NMT Guided by POS-Tagging and Paraphrase Embedding.

Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, Zegao Pan, Maosong Sun

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

Exploring Discriminative Word-Level Domain Contexts for Multi-Domain Neural Machine Translation.

Jinsong Su, Jiali Zeng, Jun Xie, Huating Wen, Yongjing Yin, Yang Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun

CoRR, 2021

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

Xiangzhe Kong, Zhixing Tan, Yang Liu

CoRR, 2021

Language Models are Good Translators.

Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, Yang Liu

CoRR, 2021

Pre-Trained Models: Past, Present and Future.

Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu

CoRR, 2021

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

Zhixing Tan, Maosong Sun, Yang Liu

CoRR, 2021

CPM-2: Large-scale cost-effective pre-trained language models.

Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun

AI Open, 2021

Pre-trained models: Past, present and future.

Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu

AI Open, 2021

Towards a universal continuous knowledge base.

Gang Chen, Maosong Sun, Yang Liu

AI Open, 2021

Stochastic Anderson Mixing for Nonconvex Stochastic Optimization.

Fuchao Wei, Chenglong Bao, Yang Liu

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.

Yuanhang Zheng, Zhixing Tan, Meng Zhang, Mieradilijiang Maimaiti, Huanbo Luan, Maosong Sun, Qun Liu, Yang Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation.

Hua Zheng, Lei Li, Damai Dai, Deli Chen, Tianyu Liu, Xu Sun, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Knowledge Representation Learning with Contrastive Completion Coding.

Bo Ouyang, Wenbing Huang, Runfa Chen, Zhixing Tan, Yang Liu, Maosong Sun, Jihong Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision.

Mieradilijiang Maimaiti, Yang Liu, Yuanhang Zheng, Gang Chen, Kaiyu Huang, Ji Zhang, Huanbo Luan, Maosong Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On the Language Coverage Bias for Neural Machine Translation.

Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu

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.

Rui Jiao, Zonghan Yang, Maosong Sun, Yang Liu

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.

Xuancheng Huang, Jingfang Xu, Maosong Sun, Yang Liu

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.

Chi Chen, Maosong Sun, Yang Liu

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.

Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang

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

Learning to Detect Unacceptable Machine Translations for Downstream Tasks.

Meng Zhang, Xin Jiang, Yang Liu, Qun Liu

CoRR, 2020

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

Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu

AI Open, 2020

Review for Influence of 5G on Industry Internet.

Yang Liu, Liang-Jie Zhang, Chunxiao Xing

Proceedings of the Services - SERVICES 2020, 2020

Modeling Voting for System Combination in Machine Translation.

Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Interpolation between Residual and Non-Residual Networks.

Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

Proceedings of the 37th International Conference on Machine Learning, 2020

Review for Message-Oriented Middleware.

Yang Liu, Liang-Jie Zhang, Chunxiao Xing

Proceedings of the Internet of Things - ICIOT 2020, 2020

Accurate Word Alignment Induction from Neural Machine Translation.

Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Tsinghua University Neural Machine Translation Systems for CCMT 2020.

Gang Chen, Shuo Wang, Xuancheng Huang, Zhixing Tan, Maosong Sun, Yang Liu

Proceedings of the Machine Translation - 16th China Conference, 2020

THUMT: An Open-Source Toolkit for Neural Machine Translation.

Zhixing Tan, Jiacheng Zhang, Xuancheng Huang, Gang Chen, Shuo Wang, Maosong Sun, Huanbo Luan, Yang Liu

Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

On the Inference Calibration of Neural Machine Translation.

Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu

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

Multi-Zone Unit for Recurrent Neural Networks.

Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou

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

2019

Latent Attribute Based Hierarchical Decoder for Neural Machine Translation.

Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu

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

POS Tag-enhanced Coarse-to-fine Attention for Neural Machine Translation.

Yongjing Yin, Jinsong Su, Huating Wen, Jiali Zeng, Yang Liu, Yidong Chen

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Multi-Round Transfer Learning for Low-Resource NMT Using Multiple High-Resource Languages.

Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, Maosong Sun

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Exploiting reverse target-side contexts for neural machine translation via asynchronous bidirectional decoding.

Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao, Yang Liu

Artif. Intell., 2019

Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning.

Peng Cheng, Yutong Lu, Yunfei Du, Zhiguang Chen, Yang Liu

Proceedings of the Network and Parallel Computing, 2019

Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer.

Ouyi Li, Wenlai Zhao, Xuancheng Huang, Yushu Chen, Lin Gan, Hongkun Yu, Jiacheng Zhang, Yang Liu, Haohuan Fu, Guangwen Yang

Proceedings of the Computational Science - ICCS 2019, 2019

Iterative Dual Domain Adaptation for Neural Machine Translation.

Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo

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.

Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun

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.

Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun

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.

Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun

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

Shared-Private Bilingual Word Embeddings for Neural Machine Translation.

Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu

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

2018

Joint POS Tagging and Dependence Parsing With Transition-Based Neural Networks.

Liner Yang, Meishan Zhang, Yang Liu, Maosong Sun, Nan Yu, Guohong Fu

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

A Hierarchy-to-Sequence Attentional Neural Machine Translation Model.

Jinsong Su, Jiali Zeng, Deyi Xiong, Yang Liu, Mingxuan Wang, Jun Xie

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

Learning to Remember Translation History with a Continuous Cache.

Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang

Trans. Assoc. Comput. Linguistics, 2018

Alignment-consistent recursive neural networks for bilingual phrase embeddings.

Jinsong Su, Biao Zhang, Deyi Xiong, Yang Liu, Min Zhang

Knowl. Based Syst., 2018

Improving the Robustness of Speech Translation.

Xiang Li, Haiyang Xue, Wei Chen, Yang Liu, Yang Feng, Qun Liu

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.

Yoav Goldberg, Graeme Hirst, Yang Liu, Meng Zhang

Comput. Linguistics, 2018

Error Analysis of Uyghur Name Tagging: Language-specific Techniques and Remaining Challenges.

Halidanmu Abudukelimu, Abudoukelimu Abulizi, Boliang Zhang, Xiaoman Pan, Di Lu, Heng Ji, Yang Liu

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Improving the Transformer Translation Model with Document-Level Context.

Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, Yang Liu

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.

Jiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin, Jianqiang Zhao

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Towards Robust Neural Machine Translation.

Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Asynchronous Bidirectional Decoding for Neural Machine Translation.

Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang

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

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game.

Yun Chen, Yang Liu, Victor O. K. Li

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

2017

Context Gates for Neural Machine Translation.

Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li

Trans. Assoc. Comput. Linguistics, 2017

Neural Parse Combination.

Liner Yang, Maosong Sun, Yong Cheng, Jiacheng Zhang, Zhenghao Liu, Huan-Bo Luan, Yang Liu

J. Comput. Sci. Technol., 2017

Optimizing Non-Decomposable Evaluation Metrics for Neural Machine Translation.

Shiqi Shen, Yang Liu, Maosong Sun

J. Comput. Sci. Technol., 2017

Exploiting Unlabeled Data for Neural Grammatical Error Detection.

Zhuoran Liu, Yang Liu

J. Comput. Sci. Technol., 2017

THUMT: An Open Source Toolkit for Neural Machine Translation.

Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huan-Bo Luan, Yang Liu

CoRR, 2017

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

Liner Yang, Meishan Zhang, Yang Liu, Nan Yu, Maosong Sun, Guohong Fu

CoRR, 2017

Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation.

Hao Zheng, Yong Cheng, Yang Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Training for Pivot-based Neural Machine Translation.

Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, Wei Xu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Autonomous exploration for mobile robot using Q-learning.

Yang Liu, Huaping Liu, Bowen Wang

Proceedings of the 2nd International Conference on Advanced Robotics and Mechatronics, 2017

Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction.

Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun

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

Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization.

Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Adversarial Training for Unsupervised Bilingual Lexicon Induction.

Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Visualizing and Understanding Neural Machine Translation.

Yanzhuo Ding, Yang Liu, Huanbo Luan, Maosong Sun

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

A Teacher-Student Framework for Zero-Resource Neural Machine Translation.

Yun Chen, Yang Liu, Yong Cheng, Victor O. K. Li

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision.

Meng Zhang, Haoruo Peng, Yang Liu, Huan-Bo Luan, Maosong Sun

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

Neural Machine Translation with Reconstruction.

Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li

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

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation.

Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu

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

Maximum Reconstruction Estimation for Generative Latent-Variable Models.

Yong Cheng, Yang Liu, Wei Xu

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

2016

Listwise Ranking Functions for Statistical Machine Translation.

Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Coverage-based Neural Machine Translation.

Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li

CoRR, 2016

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation.

Jinsong Su, Zhixing Tan, Deyi Xiong, Yang Liu

CoRR, 2016

Neural Machine Translation with Pivot Languages.

Yong Cheng, Yang Liu, Qian Yang, Maosong Sun, Wei Xu

CoRR, 2016

Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation.

Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

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.

Meng Zhang, Yang Liu, Huanbo Luan, Yiqun Liu, Maosong Sun

Proceedings of the COLING 2016, 2016

Modeling Coverage for Neural Machine Translation.

Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Minimum Risk Training for Neural Machine Translation.

Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

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.

Chunyang Liu, Yang Liu, Maosong Sun, Huan-Bo Luan, Heng Yu

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Semi-Supervised Learning for Neural Machine Translation.

Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

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.

Meng Zhang, Yang Liu, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao

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.

Christian Hadiwinoto, Yang Liu, Hwee Tou Ng

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Who Influenced You? Predicting Retweet via Social Influence Locality.

Jing Zhang, Jie Tang, Juanzi Li, Yang Liu, Chunxiao Xing

ACM Trans. Knowl. Discov. Data, 2015

Iterative Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora.

Meiping Dong, Yang Liu, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Dakun Zhang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation.

Jinsong Su, Deyi Xiong, Biao Zhang, Yang Liu, Junfeng Yao, Min Zhang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Consistency-Aware Search for Word Alignment.

Shiqi Shen, Yang Liu, Maosong Sun, Huan-Bo Luan

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Generalized Agreement for Bidirectional Word Alignment.

Chunyang Liu, Yang Liu, Maosong Sun, Huan-Bo Luan, Heng Yu

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Distributed Representations of Uyghur Words and Morphemes.

Halidanmu Abudukelimu, Yang Liu, Xinxiong Chen, Maosong Sun, Abudoukelimu Abulizi

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.

Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang

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.

Tianze Shi, Zhiyuan Liu, Yang Liu, Maosong Sun

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.

Yang Liu, Maosong Sun

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Topical Word Embeddings.

Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Topic-aware pivot language approach for statisticalmachine translation.

Jinsong Su, Xiaodong Shi, Yanzhou Huang, Yang Liu, Qingqiang Wu, Yidong Chen, Huailin Dong

J. Zhejiang Univ. Sci. C, 2014

A Neural Reordering Model for Phrase-based Translation.

Peng Li, Yang Liu, Maosong Sun, Tatsuya Izuha, Dakun Zhang

Proceedings of the COLING 2014, 2014

Query Lattice for Translation Retrieval.

Meiping Dong, Yong Cheng, Yang Liu, Jia Xu, Maosong Sun, Tatsuya Izuha, Jie Hao

Proceedings of the COLING 2014, 2014

2013

Recursive Autoencoders for ITG-Based Translation.

Peng Li, Yang Liu, Maosong Sun

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Minimum Error Rate Training for Bilingual News Alignment.

Can Wang, Yang Liu, Maosong Sun

Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013

A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation.

Yang Liu

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

An Extended GHKM Algorithm for Inducing Lambda-SCFG.

Peng Li, Yang Liu, Maosong Sun

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Adaptive query suggestion for difficult queries.

Yang Liu, Ruihua Song, Yu Chen, Jian-Yun Nie, Ji-Rong Wen

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Left-to-Right Tree-to-String Decoding with Prediction.

Yang Feng, Yang Liu, Qun Liu, Trevor Cohn

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.

Xinyan Xiao, Deyi Xiong, Yang Liu, Qun Liu, Shouxun Lin

Proceedings of the COLING 2012, 2012

Combining Multiple Alignments to Improve Machine Translation.

Zhaopeng Tu, Yang Liu, Yifan He, Josef van Genabith, Qun Liu, Shouxun Lin

Proceedings of the COLING 2012, 2012

THUTR: A Translation Retrieval System.

Chunyang Liu, Qi Liu, Yang Liu, Maosong Sun

Proceedings of the COLING 2012, 2012

A Beam Search Algorithm for ITG Word Alignment.

Peng Li, Yang Liu, Maosong Sun

Proceedings of the COLING 2012, 2012

2011

Maximum Rank Correlation Training for Statistical Machine Translation.

Daqi Zheng, Yifan He, Yang Liu, Qun Liu

Proceedings of Machine Translation Summit XIII: Papers, 2011

Extracting Hierarchical Rules from a Weighted Alignment Matrix.

Zhaopeng Tu, Yang Liu, Qun Liu, Shouxun Lin

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

An Orientation Model for Hierarchical Phrase-Based Translation.

Xinyan Xiao, Jinsong Su, Yang Liu, Qun Liu, Shouxun Lin

Proceedings of the International Conference on Asian Language Processing, 2011

Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training.

Xinyan Xiao, Yang Liu, Qun Liu, Shouxun Lin

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

ETS: An Error Tolerable System for Coreference Resolution.

Hao Xiong, Linfeng Song, Fandong Meng, Yang Liu, Qun Liu, Yajuan Lv

Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Adjoining Tree-to-String Translation.

Yang Liu, Qun Liu, Yajuan Lü

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Discriminative Word Alignment by Linear Modeling.

Yang Liu, Qun Liu, Shouxun Lin

Comput. Linguistics, 2010

Statistical Translation Model Based On Source Syntax Structure.

Qun Liu, Yang Liu, Haitao Mi

Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation, 2010

The ICT statistical machine translation system for IWSLT 2010.

Hao Xiong, Jun Xie, Hui Yu, Kai Liu, Wei Luo, Haitao Mi, Yang Liu, Yajuan Lü, Qun Liu

Proceedings of the 2010 International Workshop on Spoken Language Translation, 2010

Multilingual Machine Translation system.

Yajuan Lü, Yang Liu, Qun Liu

Proceedings of the 4th International Universal Communication Symposium, 2010

Joint Tokenization and Translation.

Xinyan Xiao, Yang Liu, Young-Sook Hwang, Qun Liu, Shouxun Lin

Proceedings of the COLING 2010, 2010

Dependency Forest for Statistical Machine Translation.

Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, Shouxun Lin

Proceedings of the COLING 2010, 2010

Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation.

Jinsong Su, Yang Liu, Haitao Mi, Hongmei Zhao, Yajuan Lv, Qun Liu

Proceedings of the COLING 2010, 2010

Joint Parsing and Translation.

Yang Liu, Qun Liu

Proceedings of the COLING 2010, 2010

Effective Constituent Projection across Languages.

Wenbin Jiang, Yajuan Lv, Yang Liu, Qun Liu

Proceedings of the COLING 2010, 2010

An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation.

Yang Feng, Haitao Mi, Yang Liu, Qun Liu

Proceedings of the COLING 2010, 2010

Learning Lexicalized Reordering Models from Reordering Graphs.

Jinsong Su, Yang Liu, Yajuan Lü, Haitao Mi, Qun Liu

Proceedings of the ACL 2010, 2010

Forest-Based Semantic Role Labeling.

Hao Xiong, Haitao Mi, Yang Liu, Qun Liu

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

The ICT statistical machine translation system for the IWSLT 2009.

Haitao Mi, Yang Liu, Tian Xia, Xinyan Xiao, Yang Feng, Jun Xie, Hao Xiong, Zhaopeng Tu, Daqi Zheng, Yanjuan Lu, Qun Liu

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.

Haitao Mi, Yang Liu, Tian Xia, Xinyan Xiao, Yang Feng, Jun Xie, Hao Xiong, Zhaopeng Tu, Daqi Zheng, Yajuan Lü, Qun Liu

Proceedings of the 2009 International Workshop on Spoken Language Translation, 2009

Weighted Alignment Matrices for Statistical Machine Translation.

Yang Liu, Tian Xia, Xinyan Xiao, Qun Liu

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Lattice-based System Combination for Statistical Machine Translation.

Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan Lü

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Sub-Sentence Division for Tree-Based Machine Translation.

Hao Xiong, Wenwen Xu, Haitao Mi, Yang Liu, Qun Liu

Proceedings of the ACL 2009, 2009

Joint Decoding with Multiple Translation Models.

Yang Liu, Haitao Mi, Yang Feng, Qun Liu

Proceedings of the ACL 2009, 2009

Improving Tree-to-Tree Translation with Packed Forests.

Yang Liu, Yajuan Lü, Qun Liu

Proceedings of the ACL 2009, 2009

2008

Synopsis Alignment: Importing External Text Information for Multi-model Movie Analysis.

Ming Li, Yang Liu, Yong-Dong Zhang, Shouxun Lin

Proceedings of the Advances in Multimedia Information Processing, 2008

The ICT system description for IWSLT 2008.

Yang Liu, Zhongjun He, Haitao Mi, Yun Huang, Yang Feng, Wenbin Jiang, Yajuan Lü, Qun Liu

Proceedings of the 2008 International Workshop on Spoken Language Translation, 2008

Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation.

Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

The ICT statistical machine translation systems for IWSLT 2007.

Zhongjun He, Haitao Mi, Yang Liu, Deyi Xiong, Weihua Luo, Yun Huang, Zhixiang Ren, Yajuan Lü, Qun Liu

Proceedings of the 2007 International Workshop on Spoken Language Translation, 2007

Forest-to-String Statistical Translation Rules.

Yang Liu, Yun Huang, Qun Liu, Shouxun Lin

Proceedings of the ACL 2007, 2007

2006

Tree-to-String Alignment Template for Statistical Machine Translation.

Yang Liu, Qun Liu, Shouxun Lin

Proceedings of the ACL 2006, 2006

2005

Log-Linear Models for Word Alignment.

Yang Liu, Qun Liu, Shouxun Lin

Proceedings of the ACL 2005, 2005

2004

An EBMT system based on word alignment.

Hongxu Hou, Dan Dang, Gang Zou, Hongkui Yu, Yang Liu, Deyi Xiong, Qun Liu

Proceedings of the 2004 International Workshop on Spoken Language Translation, 2004