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ORCIDFei Huang 0005
Person information
- affiliation: Tsinghua University, Beijing National Research Center for Information Science and Technology, Institute for Artificial Intelligence, Beijing, China
Other persons with the same name
- Fei Huang — disambiguation page
- Fei Huang 0001 — Virginia Tech, Blacksburg, VA, USA
- Fei Huang 0002 — Carnegie Mellon University, Pittsburgh, USA
- Fei Huang 0003
![[0000-0002-6187-9958]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6187-9958")
— Anhui University, Key Laboratory of Intelligent Computing and Signal Processing, Hefei, China - Fei Huang 0004 — Alibaba Group, DAMO Academy, Institute of Intelligent Computing, China
- Fei Huang 0006 — Harbin Engineering University, College of Intelligent Systems Science and Engineering, Qingdao Innovation and Development Center, China
- Fei Huang 0007 — Zhengzhou University, School of Mathematics and Statistics, Henan, China
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2020 – today
- 2025
[i10]Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar R. Zaïane, Hao Zhou, Lili Mou:
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. CoRR abs/2502.04537 (2025)- 2023
- [j3]Yilin Niu, Fei Huang, Wei Liu, Jianwei Cui, Bin Wang, Minlie Huang:
Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing. Trans. Assoc. Comput. Linguistics 11: 367-383 (2023) - [j2]Fei Huang, Pei Ke, Minlie Huang:
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. Trans. Assoc. Comput. Linguistics 11: 941-959 (2023) - [c7]Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou:
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. IJCNLP (Findings) 2023: 161-170 - [i9]Fei Huang, Pei Ke, Minlie Huang:
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. CoRR abs/2304.11791 (2023) - 2022
- [c6]Zhihong Shao, Fei Huang, Minlie Huang:
Chaining Simultaneous Thoughts for Numerical Reasoning. EMNLP (Findings) 2022: 2533-2547 - [c5]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. ICML 2022: 9356-9376 - [c4]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. ICML 2022: 9410-9428 - [i8]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. CoRR abs/2205.07459 (2022) - [i7]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. CoRR abs/2206.05975 (2022) - [i6]Zhihong Shao, Fei Huang, Minlie Huang:
Chaining Simultaneous Thoughts for Numerical Reasoning. CoRR abs/2211.16482 (2022) - 2021
- [c3]Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang:
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer. ACL/IJCNLP (Findings) 2021: 1577-1590 - [c2]Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang:
A Semantic-based Method for Unsupervised Commonsense Question Answering. ACL/IJCNLP (1) 2021: 3037-3049 - [i5]Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang:
A Semantic-based Method for Unsupervised Commonsense Question Answering. CoRR abs/2105.14781 (2021) - [i4]Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang:
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer. CoRR abs/2106.02210 (2021) - 2020
- [j1]Jian Guan, Fei Huang, Minlie Huang, Zhihao Zhao, Xiaoyan Zhu:
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. Trans. Assoc. Comput. Linguistics 8: 93-108 (2020) - [i3]Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang:
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. CoRR abs/2001.05139 (2020) - [i2]Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang:
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation. CoRR abs/2002.00583 (2020)
2010 – 2019
- 2019
- [c1]Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu:
ARAML: A Stable Adversarial Training Framework for Text Generation. EMNLP/IJCNLP (1) 2019: 4270-4280 - [i1]Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu:
ARAML: A Stable Adversarial Training Framework for Text Generation. CoRR abs/1908.07195 (2019)
Coauthor Index
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