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Juncheng Wan
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2020 – today
- 2022
- [c5]Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu:
Nested Named Entity Recognition with Span-level Graphs. ACL (1) 2022: 892-903 - [c4]Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Zhoujun Li
:
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation. COLING 2022: 5085-5097 - [i3]Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Furu Wei:
Phrase-level Adversarial Example Generation for Neural Machine Translation. CoRR abs/2201.02009 (2022) - [i2]Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li:
Forgetting Fast in Recommender Systems. CoRR abs/2208.06875 (2022) - 2021
- [c3]Jian Yang, Shuming Ma, Dongdong Zhang, Juncheng Wan, Zhoujun Li, Ming Zhou:
Smart-Start Decoding for Neural Machine Translation. NAACL-HLT 2021: 3982-3988 - [c2]Jian Yang, Juncheng Wan, Shuming Ma, Haoyang Huang, Dongdong Zhang, Yong Yu, Zhoujun Li, Furu Wei:
Learning to Select Relevant Knowledge for Neural Machine Translation. NLPCC (1) 2021: 79-91
2010 – 2019
- 2019
- [c1]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. SIGIR 2019: 455-464 - [i1]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. CoRR abs/1906.01965 (2019)
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