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Zhirui Zhang (张志锐) |
News
- [2023.05.03] Two paper are accepted by ACL-2023 (about trustworthy NER and TM-NMT understanding)!
- [2023.01.21] Two paper are accepted by ICLR-2023 (about federated machine translation and efficient kNN-MT)!
- [2022.10.06] One paper is accepted by EMNLP-2022 (about end-to-end speech translation)!
- [2022.02.23] One paper is accepted by ACL-2022 (about song translation)!
- [2021.12.07] Two papers are accepted by AAAI-2022 (about end-to-end speech translation and non-parametric online learning)!
Research Interest
I work in the field of natural language processing, machine translation, dialogue system and deep learning. Currently, I focus on the following research topics:- Multilingual Neural Machine Translation
- Fast Domain Adaptation for Neural Machine Translation
- End-to-End Speech Translation, Melody Constrained Song Translation
- Controllable Neural Text Generation
- Few-shot Learning with Pre-trained Models
Publications
#: the student I mentor
2023:
Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu and Bingzhe Wu, “E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition”. In ACL'2023.
Hongkun Hao, Guoping Huang, Lemao Liu, Zhirui Zhang, Shuming Shi and Rui Wang, “Rethinking Translation Memory Augmented Neural Machine Translation”. In ACL'2023.
Longyue Wang*, Chenyang Lyu*, Tianbo Ji*, Zhirui Zhang*, Dian Yu, Shuming Shi and Zhaopeng Tu, “Document-Level Machine Translation with Large Language Models”. arXiv:2304.02210 [cs]. (* equal contribution) [PDF] [Code]
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu and Bingzhe Wu, “Fairness-guided Few-shot Prompting for Large Language Models”. arXiv:2303.13217 [cs]. [PDF]
Yichao Du#, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu and Enhong Chen, “Federated Nearest Neighbor Machine Translation”. In ICLR'2023. [PDF] [Code]
Yuhan Dai#*, Zhirui Zhang*, Qiuzhi Liu, Qu Cui, Weihua Li, Yichao Du# and Tong Xu, “Simple and Scalable Nearest Neighbor Machine Translation”. In ICLR'2023. (* equal contribution) [PDF] [Code]
2022:
Linlin Zhang, Zhirui Zhang, Boxing Chen, Weihua Luo and Lou Si, “Context-Adaptive Document-Level Neural Machine Translation”. In ICASSP'2022.
Yichao Du#*, Weizhi Wang#*, Zhirui Zhang, Boxing Chen, Jun Xie, Tong Xu and Enhong Chen, “Non-Parametric Domain Adaptation for End-to-End Speech Translation”. In EMNLP'2022. (* equal contribution) [PDF] [Code]
Weizhi Wang#, Zhirui Zhang, Junliang Guo#, Yinpei Dai, Boxing Chen and Weihua Luo, “Task-Oriented Dialogue System as Natural Language Generation”. In SIGIR'2022. [PDF] [Code]
Fenfei Guo#, Chen Zhang, Zhirui Zhang, Qixin He, Kejun Zhang, Jun Xie and Jordan Lee Boyd-Graber, “Automatic Song Translation for Tonal Languages”. In ACL'2022 (Findings). [PDF] [Data&Code] [Demo]
Yichao Du#, Zhirui Zhang, Weizhi Wang#, Boxing Chen, Jun Xie and Tong Xu, “Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement”. In AAAI'2022. [PDF] [Code]
Dongqi Wang, Hao-Ran Wei, Zhirui Zhang, Shujian Huang, Jun Xie, Weihua Luo and Jiajun Chen, “Non-Parametric Online Learning from Human Feedback for Neural Machine Translation”. In AAAI'2022. [PDF] [Code]
2021:
Xin Zheng#, Zhirui Zhang, Shujian Huang, Boxing Chen, Jun Xie, Weihua Luo and Jiajun Chen, “Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation”. In EMNLP'2021 (Findings). [PDF] [Code]
Weizhi Wang#, Zhirui Zhang, Yichao Du#, Boxing Chen, Jun Xie and Weihua Luo, “Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables”. In EMNLP'2021 (Findings). [PDF] [Code]
Xuefeng Bai#, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek Wong and Yue Zhang, “Sentence-State LSTMs for Sequence-to-Sequence Learning”. In NLPCC'2021.
Xin Zheng#, Zhirui Zhang, Junliang Guo#, Shujian Huang, Boxing Chen, Weihua Luo and Jiajun Chen, “Adaptive Nearest Neighbor Machine Translation”. In ACL-IJCNLP'2021. [PDF] [Code]
Junliang Guo#, Zhirui Zhang, Linli Xu, Boxing Chen and Enhong Chen, “Adaptive Adapter: an Efficient Way to Incorporate BERT into Neural Machine Translation”. In TASLP'2021. [PDF]
Junliang Guo#, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen and Weihua Luo, “Towards Variable-Length Textual Adversarial Attacks”. arXiv:2104.08139 [cs]. [PDF]
2020:
Junliang Guo#, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen and Enhong Chen, “Incorporating BERT into Parallel Sequence Decoding with Adapters”. In NeurIPS'2020. [PDF] [Code]
Hao-Ran Wei, Zhirui Zhang, Boxing Chen and Weihua Luo, “Iterative Domain-Repaired Back-Translation”. In EMNLP'2020. [PDF]
Baijun Ji#, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen and Weihua Luo, “Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation”. In AAAI'2020. [PDF]
2019:
Zhirui Zhang, Xiujun Li, Jianfeng Gao and Enhong Chen, “Budgeted Policy Learning for Task-Oriented Dialogue Systems”. In ACL'2019. [PDF]
Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou and Tong Xu, “Regularizing Neural Machine Translation by Target-bidirectional Agreement”. In AAAI'2019. [PDF]
Shuo Ren*, Zhirui Zhang*, Shujie Liu, Ming Zhou and Shuai Ma, “Unsupervised Neural Machine Translation with SMT as Posterior Regularization”. In AAAI'2019. (* equal contribution) [PDF] [Code]
2018:
Wenhu Chen, Guanlin Li, Shujie Liu, Zhirui Zhang, Mu Li and Ming Zhou, “Approximate Distribution Matching for Sequence-to-Sequence Learning”. arXiv:1808.08003 [cs]. [PDF]
Shuangzhi Wu, Dongdong Zhang, Zhirui Zhang, Nan Yang, Mu Li and Ming Zhou, “Dependency-to-Dependency Neural Machine Translation”. In TASLP'2018.
Zhirui Zhang*, Shuo Ren*, Shujie Liu, Jianyong Wang, Peng Chen, Mu Li, Ming Zhou and Enhong Chen, “Style Transfer as Unsupervised Machine Translation”. arXiv:1808.07894 [cs]. (* equal contribution) [PDF]
Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, “Bidirectional Generative Adversarial Networks for Neural Machine Translation”. In CoNLL'2018. [PDF]
Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, “Coarse-To-Fine Learning for Neural Machine Translation”. In NLPCC'2018. [PDF]
Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang and Ming Zhou, “Achieving Human Parity on Automatic Chinese to English News Translation”. arXiv:1803.05567 [cs]. [PDF]
Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, “Joint Training for Neural Machine Translation Models with Monolingual Data”. In AAAI'2018. [PDF]
Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li and Ming Zhou, “Generative Bridging Network in Neural Sequence Prediction”. In NAACL'2018. [PDF]
Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv and Ming Zhou, “Learning to Collaborate for Question Answering and Asking”. In NAACL'2018. [PDF]
2017:
Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, “Stack-based Multi-layer Attention for Transition-based Dependency Parsing”. In EMNLP'2017. [PDF]
Experience
- 2021.9-Now Senior Researcher, Tencent AI Lab.
- 2019.7-2021.8 Algorithm Expert, Language Technology Lab, Alibaba DAMO Academy. Supervisor: Boxing Chen, Jun Xie and Weihua Luo
- 2019.2-2019.6 Research Intern, Natural Language Computing Group, Microsoft Research Asia. Supervisor: Shujie Liu
- 2018.7-2019.1 Research Intern, Deep Learning Group, Microsoft AI & Research. Supervisor: Xiujun Li & Jianfeng Gao
- 2015.7-2018.7 Research Intern, Natural Language Computing Group, Microsoft Research Asia. Supervisor: Mu Li
- 2013.7-2014.6 Research Intern, Natural Language Computing Group, Microsoft Research Asia. Supervisor: Mu Li
Education
- 2014.9-2019.6 Ph.D. in Computer Science, University of Science and Technology of China.
Joint Ph.D. Program with Microsoft Research Asia. Supervisor: Prof. Enhong Chen & Harry Shum - 2010.9-2014.6 B.S. in Computer Science, University of Science and Technology of China.
Services
I’ve served as a PC Member for:- 2023: AAAI, ICLR, ICML, ACL
- 2022: AAAI, ICLR, ACL, ICML, NeurIPS, COLING, EMNLP
- 2021: NeurIPS, EMNLP, NLPCC, INLG, ICML, ACL, NAACL, AAAI, ACL
- 2020: NeurIPS, ACL, AAAI, IJCAI, COLING, INLG
- 2019: NAACL, ACL, EMNLP, INLG
- [2020.12.19] Invited as a speaker for DataFunTalk on the topic of "Alibaba's Multilingual Neural Machine Translation"!
Awards
- 2019, Award of Excellence in MSRA Star of Tomorrow Internship Program
- 2013, Google Excellent Scholarship
- 2013, National Scholarship