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Xiangzhe Kong, Wenbing Huang, and Yang Liu. 2023. Conditional Antibody Design as 3D Equivariant Graph Translation. In Proceedings of ICLR 2023. [paper][arXiv][code] (ICLR 2023 Outstanding Paper Award Honorable Mention)
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, and Xing Xie. 2023. Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. In Proceedings of ICLR 2023. [arXiv]
Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, and Yang Liu. 2023. Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. In Proceedings of AAAI 2023. [arXiv]
Sijie Cheng, Zhiying Wu, Jiangjie Chen, Zhixing Li, Yang Liu, and Lingpeng Kong. 2023. Unsupervised Explanation Generation via Correct Instantiations. In Proceedings of AAAI 2023. [arXiv]
Xiangzhe Kong, Wenbing Huang, and Yang Liu. 2023. End-to-End Full-Atom Antibody Design. In Proceedings of ICML 2023. [arXiv]
Zonghan Yang, Peng Li, Tianyu Pang, and Yang Liu. 2023. Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. In Proceedings of ICML 2023. [arXiv]
Kaiyu Huang, Peng Li, Jin Ma, Ting Yao, and Yang Liu. 2023. Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation. In Proceedings of ACL 2023. [paper] (ACL 2023 Outstanding Paper Award)
Qinhong Zhou, Zonghan Yang, Peng Li, and Yang Liu. 2023. Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. In Proceedings of ACL 2023. [paper]
Chi Chen, Peng Li, Maosong Sun, and Yang Liu. 2023. Weakly Supervised Vision-and-Language Pre-training with Relative Representations. In Proceedings of ACL 2023. [paper][arXiv]
Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, and Yang Liu. 2023. An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation. In Proceedings of ACL 2023. [paper][arXiv]
Yuanchi Zhang, Peng Li, Maosong Sun, and Yang Liu. 2023. Continual Knowledge Distillation for Neural Machine Translation. In Proceedings of ACL 2023. [paper][arXiv]
Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, and Yang Liu. 2023. Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. In Findings of the Association for Computational Linguistics: ACL 2023. [paper][arXiv]
Xuanjie Fang, Sijie Cheng, Yang Liu, and Wei Wang. 2023. Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. In Findings of the Association for Computational Linguistics: ACL 2023. [paper][arXiv]
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, and Yang Liu. 2023. Learning to Relate to Previous Turns in Conversational Search. In Proceedings of KDD 2023. [arXiv]
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, and Maosong Sun. 2023. Parameter-efficient Fine-tuning of Large-scale Pre-trained Language Models. Nature Machine Intelligence. [arXiv]
Xiangzhe Kong, Wenbing Huang, and Yang Liu. 2023. Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning. arXiv:2306.01474. [arXiv]
Zhixing Tan, Xiangwen Zhang, Shuo Wang, and Yang Liu. 2022. MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators. In Proceedings of ACL 2022. [blog][paper][arXiv][code]
Shuo Wang, Zhixing Tan, and Yang Liu. 2022. Integrating Vectorized Lexical Constraints for Neural Machine Translation. In Proceedings of ACL 2022. [blog][paper][arXiv]
Zonghan Yang and Yang Liu. 2022. On Robust Prefix-Tuning for Text Classification. In Proceedings of ICLR 2022. [blog][paper][arXiv]
Fuchao Wei, Chenglong Bao, and Yang Liu. 2022. A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications. In Proceedings of ICLR 2022. [blog][paper]
Fei Huang, Hao Zhou, Yang Liu, Hang Li, and Minlie Huang. 2022. Directed Acyclic Transformer for Non-Autoregressive Machine Translation. In Proceedings of ICML 2022. [paper][arXiv]
Fuchao Wei, Chenglong Bao, Yang Liu, and Guangwen Yang. 2022. A Variant of Anderson Mixing with Minimal Memory Size. In Proceedings of NeurIPS 2022. [blog][paper]
Zonghan Yang, Tianyu Pang, and Yang Liu. 2022. A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. In Proceedings of NeurIPS 2022. [paper]
Xiangzhe Kong, Wenbing Huang, Zhixing Tan, and Yang Liu. 2022. Molecule Generation by Principal Subgraph Mining and Assembling. In Proceedings of NeurIPS 2022. [blog][paper] (Oral Presentation)
Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, and Yang Liu. 2022. A Template-based Method for Constrained Neural Machine Translation. In Proceedings of EMNLP 2022. [paper][arXiv]
Kaiyu Huang, Peng Li, Jin Ma, and Yang Liu. 2022. Entropy-based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation. In Proceedings of EMNLP 2022. [paper]
Chi Chen, Peng Li, Maosong Sun, and Yang Liu. 2022. End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching. In Proceedings of EMNLP 2022. [paper]
Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Jingjing Liu, Wangmeng Zuo, and Yang Liu. 2022. Adversarial Contrastive Learning via Asymmetric InfoNCE. In Proceedings of ECCV 2022. [paper][arXiv]
Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, and Jinsong Su. 2022. A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition. In Proceedings of AAAI 2022. [paper][arXiv]
Yuanchi Zhang and Yang Liu. 2022. DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles. In Proceedings of LREC 2022. [blog][paper][arXiv][code]
Mingze Sun, Weizhi Ma, and Yang Liu. 2022. Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification. In Proceedings of CIKM 2022. [paper]
Zhixing Tan, Zeyuan Yang, Meng Zhang, Qun Liu, Maosong Sun, and Yang Liu. 2022. Dynamic Multi-branch Layers for On-device Neural Machine Translation. IEEE Transactions on Audio, Speech and Language Processing. [blog][link][arXiv][code]
Pin Chen, Rui Jiao, Yang Liu, and Yutong Lu. 2022. Interpretable Graph Transformer Network for Predicting Adsorption Isotherms of Metal-Organic Frameworks. Journal of Chemical Information and Modeling. [link]
Chi Chen, Maosong Sun, and Yang Liu. 2021. Mask-Align: Self-Supervised Neural Word Alignment. In Proceedings of ACL-IJCNLP 2021. [blog][paper][arXiv][code]
Xuancheng Huang, Jingfang Xu, Maosong Sun, and Yang Liu. 2021. Transfer Learning for Sequence Generation: from Single-source to Multi-source. In Proceedings of ACL-IJCNLP 2021. [blog][paper][arXiv][code]
Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun and Yang Liu. 2021. On the Language Coverage Bias for Neural Machine Translation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. [paper][arXiv]
Rui Jiao, Zonghan Yang, Maosong Sun and Yang Liu. 2021. Alternated Training with Synthetic and Authentic Data for Neural Machine Translation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. [paper]
Yuanhang Zheng, Zhixing Tan, Meng Zhang, Mieradilijiang Maimaiti, Huanbo Luan, Maosong Sun, Qun Liu and Yang Liu. 2021. Self-Supervised Quality Estimation for Machine Translation. In Proceedings of EMNLP 2021. [blog][paper][code]
Mieradilijiang Maimaiti, Yang Liu, Yuanhang Zheng, Gang Chen, Kaiyu Huang, Ji Zhang, Huanbo Luan and Maosong Sun. 2021. Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision. In Proceedings of EMNLP 2021. [blog][paper]
Bo Ouyang, Wenbing Huang, Runfa Chen, Zhixing Tan, Yang Liu, Maosong Sun and Jihong Zhu. 2021. Knowledge Representation Learning with Contrastive Completion Coding. In Findings of the Association for Computational Linguistics: EMNLP 2021. [paper]
Fuchao Wei, Chenglong Bao, and Yang Liu. 2021. Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. In Proceedings of NeurIPS 2021. [paper][supplemental]
Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, and Maosong Sun. 2021. Learning to Predict Explainable Plots for Neural Story Generation. IEEE Transactions on Audio, Speech and Language Processing. [link][arXiv]
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, and Yang Liu. 2021. Neural Machine Translation with Explicit Phrase Alignment. IEEE Transactions on Audio, Speech and Language Processing. [link][arXiv]
Jiali Zeng, Jinsong Su, Yubin Ge, Yang Liu, Jun Xie, Linfeng Song, and Junfeng Yao. 2021. Domain Adaptive Meta-learning for Dialogue Tracking. IEEE Transactions on Audio, Speech and Language Processing. [link]
Ziyao Lu, Xiang Li, Yang Liu, Chulun Zhou, Jianwei Cui, Bin Wang, Min Zhang, and Jinsong Su. 2021. Exploring Multi-stage Information Interactions for Multi-source Neural Machine Translation. IEEE Transactions on Audio, Speech and Language Processing. [link]
Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, Zegao Pan, and Maosong Sun. 2021. Improving Data Augmentation for Low-resource NMT Guided by POS-tagging and Paraphrase Embedding. ACM Transactions on Asian and Low-resource Language Information Processing. [link]
Gang Chen, Maosong Sun, and Yang Liu. 2021. Towards a Universal Continuous Knowledge Base. AI Open. [paper][arXiv]
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, and Maosong Sun. 2021. CPM-2: Large-scale Cost-effective Pre-trained Language Models. AI Open. [paper][arXiv]
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, and Jun Zhu. 2021. Pre-Trained Models: Past, Present and Future. AI Open. [paper][arXiv]
Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, and Yang Liu. 2021. Language Models are Good Translators. arXiv:2106.13627. [arXiv]
Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu, and Yang Liu. 2021. FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion. arXiv:2110.11027. [arXiv]
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, and Maosong Sun. 2021. CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. arXiv:2112.13610. [arXiv]
Zonghan Yang, Yang Liu, Chenglong Bao, and Zuoqiang Shi. 2020. Interpolation between Residual and Non-Residual Networks. In Proceedings of ICML 2020, pages 10736-10745, Online, July 12-18. [paper][arXiv]
Shuo Wang, Zhaopeng Tu, Shuming Shi, and Yang Liu. 2020. On the Inference Calibration of Neural Machine Translation. In Proceedings of ACL 2020, pages 3070-3079, Online, July 5-10. [paper][arXiv]
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, and Yang Liu. 2020. Modeling Voting for System Combination in Machine Translation. In Proceedings of IJCAI 2020, pages 3694-3701, Yokohama, Japan, July 11-17. [paper][arXiv][code]
Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, and Qun Liu. 2020. Accurate Word Alignment Induction from Neural Machine Translation. In Proceedings of EMNLP 2020, pages 566-576, Online, November 16-20. [paper][arXiv]
Fandong Meng, Jinchao Zhang, Yang Liu, and Jie Zhou. 2020. Multi-Zone Unit for Recurrent Neural Networks. In Proceedings of AAAI 2020, pages 5150-5157, New York, USA, February 7-12. [paper][arXiv]
Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, and Erhong Yang. 2020. Incorporating Sememes into Chinese Definition Modeling. IEEE Transactions on Audio, Speech and Language Processing, Volume 28, pages 1669-1677. [link][arXiv]
Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, and Yang Liu. 2020. Neural Machine Translation: A Review of Methods, Resources, and Tools. AI Open. [link][arXiv]
Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, and Maosong Sun. 2020. Enriching Transfer Learning with Pre-trained Lexicon Embedding for Low-resource Neural Machine Translation. Journal of Tsinghua University (Science and Technology).
Meng Zhang, Xin Jiang, Yang Liu, and Qun Liu. 2020. Learning to Detect Unacceptable Machine Translations for Downstream Tasks. arXiv:2005.03925. [arXiv]
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, and Jingbo Zhu. 2019. Shared-Private Bilingual Word Embeddings for Neural Machine Translation. In Proceedings of ACL 2019, pages 3613-3622, Florence, Italy, July 28-August 2. [paper][arXiv]
Zonghan Yang, Yong Cheng, Yang Liu, and Maosong Sun. 2019. Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach. In Proceedings of ACL 2019 (short paper), pages 6191-6196, Florence, Italy, July 28-August 2. [paper]
Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan and Maosong Sun. 2019. Improving Back-Translation with Uncertainty-based Confidence Estimation. In Proceedings of EMNLP 2019, pages 791-802, Hong Kong, China, November 3-7. [paper][arXiv][code]
Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu and Maosong Sun. 2019. Learning to Copy for Automatic Post-Editing. In Proceedings of EMNLP 2019, pages 6124-6134, Hong Kong, China, November 3-7. [paper][code]
Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu, Yongjing Yin and Jiebo Luo. 2019. Iterative Dual Domain Adaptation for Neural Machine Translation. In Proceedings of EMNLP 2019, pages 845-854, Hong Kong, China, November 3-7. [paper]
Ouyi Li, Wenlai Zhao, Xuancheng Huang, Yushu Chen, Lin Gan, Hongkun Yu, Jiacheng Zhang, Yang Liu, Haohuan Fu, and Guangwen Yang. 2019. Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer. In Proceedings of ICCS 2019, Faro, Algarve, Portugal, June 12-14, 2019. [link]
Jinsong Su, Jiali Zeng, Huating Wen, Jun Xie, Yongjing Yin, and Yang Liu. 2019. Exploring Discriminative Word-Level Domain Contexts for Multi-domain Neural Machine Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. [link]
Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao, and Yang Liu. 2019. Exploiting Reverse Target-side Contexts for Neural Machine Translation via Asynchronous Bidirectional Decoding. Artificial Intelligence, Volume 277. [link]
Xuebo Liu, Derek Wong, Lidia Chao, and Yang Liu. 2019. Latent Attribute Based Hierarchical Decoder for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing, Volume 27, Issue 12, pages 2103-2112. [link]
Yongjing Yin, Jinsong Su, Huating Wen, Jiali Zeng, Yang Liu, and Yidong Chen. 2019. POS Tag-Enhanced Coarse-to-Fine Attention for Neural Machine Translation. ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 18, Issue 4. [link]
Mieradilijiang Maimaiti, Yang Liu, Huanbo Luan, and Maosong Sun. 2019. Multi-Round Transfer Learning for Low-Resource NMT using Multiple High-Resource Languages. ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 18, Issue 4. [link]
Li Deng and Yang Liu (eds.). 2018. Deep Learning in Natural Language Processing. Springer. [link]
Yang Liu and Meng Zhang. 2018. Review of Neural Network Methods for Natural Language Processing, by Yoav Goldberg. Computational Linguistics, Volume 44, Number 1, pages 193-195. [paper]
Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, and Yang Liu. 2018. Towards Robust Neural Machine Translation. In Proceedings of ACL 2018, pages 1756-1766, Melbourne, Australia, July 15-20. [paper] [arXiv]
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang and Yang Liu. 2018. Improving the Transformer Translation Model with Document-Level Context. In Proceedings of EMNLP 2018, pages 533-542, Brussels, Belgium, October 31 - November 4. [paper][arXiv][code]
Jiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Yongjing Yin and Jianqiang Zhao. Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination. In Proceedings of EMNLP 2018, pages 447-457, Brussels, Belgium, October 31- November 4. [paper]
Yun Chen, Yang Liu, and Victor O. K. Li. 2018. Zero-Resource Neural Machine Translation with Multi-Agent Communication Game. In Proceedings of AAAI 2018, pages 5086-5093, New Orleans, USA, February 2-7. [paper][arXiv]
Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, and Hongji Wang. 2018. Asynchronous Bidirectional Decoding for Neural Machine Translation. In Proceedings of AAAI 2018, pages 5698-5705, New Orleans, USA, February 2-7. [paper][arXiv]
Zhaopeng Tu, Yang Liu, Shumin Shi, and Tong Zhang. 2018. Learning to Remember Translation History with a Continuous Cache. Transactions of the Association for Computational Linguistics, Volume 6, pages 407-420. [paper][arXiv]
Liner Yang, Meishan Zhang, Yang Liu, Nan Yu, Maosong Sun, and Guohong Fu. 2018. Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Volume 26, Issue 8, pages 1352-1358. [link] [arXiv]
Jinsong Su, Jiali Zeng, Deyi Xiong, Yang Liu, Mingxuan Wang, and Jun Xie. 2018. A Hierarchy-to-Sequence Attentional Neural Machine Translation Model. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Volume 26, Issue 3, pages 623-632. [link]
Jinsong Su, Biao Zhang, Deyi Xiong, Yang Liu, and Min Zhang. 2018. Alignment-Consistent Recursive Neural Networks for Bilingual Phrase Embeddings. Knowledge-based Systems, Volume 156, pages 1-11. [link]
Xiang Li, Haiyang Xue, Wei Chen, Yang Liu, Yang Feng, and Qun Liu. 2018. Improving the Robustness of Speech Translation. arXiv:1811.00728. [arXiv]
Meng Zhang, Yang Liu, and Maosong Sun. 2018. Obtaining Translational Equivalence from Non-Parallel Corpora. Scientia Sinica Informationis. (in Chinese) [paper]
Abudukelimu Halidanmu, Maosong Sun, Yang Liu, and Abudukelimu Abulizi. 2018. THUUyMorph: A Uyghur Morpheme Segmentation Corpus. Journal of Chinese Information Processing. [paper][data] (in Chinese)
Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huanbo Luan, Yang Liu. 2017. THUMT: An Open Source Toolkit for Neural Machine Translation. arXiv:1706.06415. [arXiv][code]
Yanzhuo Ding, Yang Liu, Huanbo Luan and Maosong Sun. 2017. Visualizing and Understanding Neural Machine Translation. In Proceedings of ACL 2017, Vancouver, Canada, July. [paper][slides][code] (ACL 2017 Outstanding Paper Award)
Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu and Maosong Sun. 2017. Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization. In Proceedings of ACL 2017, Vancouver, Canada, July. [paper] [code]
Meng Zhang, Yang Liu, Huanbo Luan and Maosong Sun. 2017. Adversarial Training for Unsupervised Bilingual Lexicon Induction. In Proceedings of ACL 2017, Vancouver, Canada, July. [paper][code]
Yun Chen, Yang Liu, Yong Cheng and Victor O.K. Li. 2017. A Teacher-Student Framework for Zero-Resource Neural Machine Translation. In Proceedings of ACL 2017, Vancouver, Canada, July. [paper]
Meng Zhang, Yang Liu, Huanbo Luan, and Maosong Sun. 2017. Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction. In Proceedings of EMNLP 2017, Copenhagen, Denmark, September. [paper] [code]
Hao Zheng, Yong Cheng, and Yang Liu. 2017. Maximum Expected Likelihood Estimation for Zero-Resource Neural Machine Translation. In Proceedings of IJCAI 2017, Melbourne, Australia, August. [paper]
Yong Cheng, Qian Yang, Yang Liu, Maosong Sun, and Wei Xu. 2017. Joint Training for Pivot-based Neural Machine Translation. In Proceedings of IJCAI 2017, Melbourne, Australia, August. [paper][arXiv]
Meng Zhang, Haoruo Peng, Yang Liu, Huanbo Luan, and Maosong Sun. 2017. Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision. In Proceedings of AAAI 2017, San Francisco, USA, February. [paper][code]
Yong Cheng, Yang Liu, and Wei Xu. 2017. Maximum Reconstruction Estimation for Generative Latent-Variable Models. In Proceedings of AAAI 2017, San Francisco, USA, February. [paper]
Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, and Yang Liu. 2017. Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. In Proceedings of AAAI 2017, San Francisco, USA, February. [paper][arXiv]
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, and Hang Li. 2017. Neural Machine Translation with Reconstruction. In Proceedings of AAAI 2017, San Francisco, USA, February. [paper][arXiv]
Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, and Hang Li. 2017. Context Gates for Neural Machine Translation. Transactions of the Association for Computational Linguistics. [paper][arXiv]
Shiqi Shen, Yang Liu, and Maosong Sun. 2017. Optimizing Non-Decomposable Evaluation Metrics for Neural Machine Translation. Journal of Computer Science and Technology. [paper]
Liner Yang, Maosong Sun, Jiacheng Zhang, Zhenghao Liu, Huanbo Luan, and Yang Liu. 2017. Neural Parse Combination. Journal of Computer Science and Technology. [paper]
Zhuoran Liu and Yang Liu. 2017. Exploiting Unlabeled Data for Neural Grammatical Error Detection. Journal of Computer Science and Technology. [paper][arXiv]
Yang Liu. 2017. Recent Advances in Neural Machine Translation. Journal of Computer Research and Development. [paper] (in Chinese)
Abudukelimu Halidanmu, Yong Cheng, Yang Liu, and Maosong Sun. 2017. Uyghur Morphological Segmentation with Bidirectional GRU Neural Networks. Journal of Tsinghua University (Science and Technology). [paper] (in Chinese)
Abudukelimu Halidanmu, Yang Liu, and Maosong Sun. 2017. A Systematic Comparison of Uyghur-Chinese Neural Machine Translation Systems. Journal of Tsinghua University (Science and Technology). [paper] (in Chinese)
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016. Minimum Risk Training for Neural Machine Translation. In Proceedings of ACL 2016, Berlin, Germany, August. [paper][arXiv][code]
Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016. Semi-Supervised Learning for Neural Machine Translation. In Proceedings of ACL 2016, Berlin, Germany, August. [paper][arXiv][code]
Chunyang Liu, Yang Liu, Huanbo Luan, Maosong Sun, and Heng Yu. 2016. Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora. In Proceedings of ACL 2016, Berlin, Germany, August. [paper][arXiv]
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li. 2016. Modeling Coverage for Neural Machine Translation. In Proceedings of ACL 2016, Berlin, Germany, August. [paper][arXiv]
Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016. Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation. In Proceedings of IJCAI 2016, New York, USA, July. [paper][arXiv]
Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun, Tatsuya Izuha, and Jie Hao. 2016. Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation. In Proceedings of AAAI 2016, Phoenix, USA, February. [paper]
Christian Hadiwinoto, Yang Liu, and Hwee Tou Ng. 2016. To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation. In Proceedings of AAAI 2016, Phoenix, USA, February. [paper]
Meng Zhang, Yang Liu, Huanbo Luan, and Maosong Sun. 2016. Listwise Ranking Functions for Statistical Machine Translation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24(8): 1464-1472. [draft][link]
Meng Zhang, Yang Liu, Huanbo Luan, Yiqun Liu, and Maosong Sun. 2016. Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization. In Proceedings of COLING 2016, Osaka, Japan, December. [paper]
Yong Cheng, Yang Liu, Qian Yang, Maosong Sun, and Wei Xu. 2016. Neural Machine Translation with Pivot Languages. arXiv:1611.04928. [arXiv]
Meiping Dong, Yang Liu, Huanbo Luan, Maosong Sun, Tatsuya Izuha, and Dakun Zhang. 2015. Iterative Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora. In Proceedings of IJCAI 2015, Buenos Aires, Argentina, July. [paper][slides]
Yang Liu and Maosong Sun. 2015. Contrastive Unsupervised Word Alignment with Non-Local Features. In Proceedings of AAAI 2015, Austin, Texas, January. [paper][arXiv][slides][code]
Chunyang Liu, Yang Liu, Huanbo Luan, Maosong Sun, and Heng Yu. 2015. Generalized Agreement for Bidirectional Word Alignment. In Proceedings of EMNLP 2015, Lisbon, Portugal, September. [paper]
Shiqi Shen, Yang Liu, Huanbo Luan, and Maosong Sun. 2015. Consistency-Aware Search for Word Alignment. In Proceedings of EMNLP 2015, Lisbon, Portugal, September. [paper]
Jinsong Su, Deyi Xiong, Biao Zhang, Yang Liu, Junfeng Yao, and Min Zhang. 2015. Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation. In Proceedings of EMNLP 2015, Lisbon, Portugal, September. [paper]
Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, and Min Zhang. 2015. A Context-Aware Topic Model for Statistical Machine Translation. In Proceedings of ACL 2015, Beijing, China, July. [paper]
Tianze Shi, Zhiyuan Liu, Yang Liu, and Maosong Sun. 2015. Learning Cross-lingual Word Embeddings via Matrix Co-factorization. In Proceedings of ACL 2015 (short paper), Beijing, China, July. [paper]
Yang Liu and Min Zhang. 2015. Statistical Machine Translation. In Routledge Encyclopedia of Translation Technology, edited by Sin-Wai Chan. Routledge. [link]
Halidanmu Abudukelimu, Yang Liu, Xinxiong Chen, Maosong Sun, and Abudoukelimu Abulizi. 2015. Learning Distributed Representations of Uyghur Word and Morphemes. In Proceedings of CCL/NLP-NABD 2015, Guangzhou, China, November. [link]
Meiping Dong, Yong Cheng, Yang Liu, Jia Xu, Maosong Sun, Tatsuya Izuha, and Jie Hao. 2014. Query Lattice for Translation Retrieval. In Proceedings of COLING 2014, Dublin, Ireland, August. [paper]
Peng Li, Yang Liu, Maosong Sun, Tatsuya Izuha, and Dakun Zhang. 2014. A Neural Reordering Model for Phrase-based Translation. In Proceedings of COLING 2014, Dublin, Ireland, August. [paper]
Sebastian Beschke, Yang Liu, and Wolfgang Menzel. 2014. Large-Scale CCG Induction from the Groningen Meaning Bank. In Proceedings of ACL 2014 Workshop on Semantic Parsing, Baltimore, USA, June. [paper]
Maosong Sun, Yang Liu, and Jun Zhao. 2014. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. Springer Lecture Notes in Computer Science, Volume 8801. ISBN: 978-3-319-12276-2. [link]
Jinsong Su, Yang Liu, Qun Liu, and Huailin Dong. 2014. Graph-based Lexicalized Reordering Models for Statistical Machine Translation. China Communications, 11(5):71-82. [link]
Jinsong Su, Xiaodong Shi, Yanzhou Huang, Yang Liu, Qingqiang Wu, Yidong Chen, and Huailin Dong. 2014. Topic-Aware Pivot Language Approach for Statistical Machine Translation. Jounral of Zhejiang University - Science C (Computers and Electronics), 15(4):241-253. [link]
Peng Li, Yang Liu, and Maosong Sun. 2014. A Neural Reordering Model for Hierarchical Phrase-based Translation. Journal of Tsinghua University (Science and Technology). [paper] (in Chinese)
Yang Liu. 2013. A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation. In Proceedings of ACL 2013, Sofia, Bulgaria, August. [paper][slides]
Peng Li, Yang Liu, and Maosong Sun. 2013. An Extended GHKM Algorithm for Inducing Lambda-SCFG. In Proceedings of AAAI 2013, Bellevue, Washington, USA, July. [paper]
Peng Li, Yang Liu, and Maosong Sun. 2013. Recursive Autoencoders for ITG-based Translation. In Proceedings of EMNLP 2013, Seattle, Washington, USA, October. [paper]
Qi Liu, Yang Liu, and Maosong Sun. 2013. Combining URL Patterns and HTML Structures for Identifying Parallel Webpages. In Journal of Chinese Information Processing, Vol 27, No. 3, pp 91-99. [paper] (in Chinese)
Shiqi Shen, Yang Liu, and Maosong Sun. 2013. A Dual Decomposition based Search Algorithm for Word Alignment. In Journal of Chinese Information Processing. [paper] (in Chinese)
Can Wang, Yang Liu, and Maosong Sun. 2013. Minimum Error Rate Training for Bilingual News Alignment. In Proceedings of CLSW 2013. [paper]
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