Zhongqiang Huang
Zhongqiang Huang has 3 papers in our library, in 2014–2021, most of them on Named entity recognition, Machine translation; often with Fei Huang, Kewei Tu, Nguyen Bach.
OpenAlex · h-index 19 · 75 works · 2,303 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 343 citations in our library · 2 more in our library without a page yet · ⭐ Paper Star rank #2101
Affiliations
🎓Huazhong Agricultural UniversityWuhan ·
China2021–2025 · 11 papers🏢Alibaba DAMO AcademyHangzhou ·
China2020–2024 · 18 papers🏢Alibaba GroupHangzhou ·
China2019–2022 · 18 papers🏢Alibaba GroupGeorge Town ·
Cayman Islands2020–2021 · 10 papers🎓University of Chinese Academy of SciencesBeijing ·
China2020–2021 · 10 papers🏛️Chinese Academy of SciencesBeijing ·
China2020–2021 · 8 papers🔬Shanghai Institute of Microsystem and Information TechnologyShanghai ·
China2020–2021 · 8 papers🎓University of Maryland, College ParkCollege Park ·
United States2009–2011 · 8 papers🎓Purdue University West LafayetteWest Lafayette ·
United States2006–2007 · 7 papers🎓Xiamen UniversityXiamen ·
China2014–2018 · 5 papers
Concepts, shelves and topics
📚 Shelves 5 Arts and Humanities · 3 works Computer Science · 3 works Artificial Intelligence · 3 works Language and Linguistics · 3 works Computer Vision and Pattern Recognition · 1 work
🧭 Topics 2 Machine translation · 1 work Named entity recognition · 1 work
Works by year
2020s
2010s
Papers
- Fast and Robust Neural Network Joint Models for Statistical Machine Translation (2014 · 668 citations)
The paper tackles a long-standing gap in statistical MT. Neural language models helped translation, but they were too slow to run inside the decoder and usually ignored the source sentence. The authors propose a neural network joint model (NNJM): a feed-forward network in the style of Bengio et al. (2003) that… - Automated Concatenation of Embeddings for Structured Prediction (2021 · 206 citations)
Concatenating several kinds of word embeddings (contextual ones like BERT, XLM-R, ELMo and Flair, plus static word and character vectors) often helps structured prediction. - Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning (2021 · 205 citations)
Many NER inputs, such as tweets, search queries and product comments, are short and have no surrounding document.
All works
- Fast and Robust Neural Network Joint Models for Statistical Machine TranslationJacob Devlin, Rabih Zbib, Zhongqiang Huang, et al.Annual Meeting of the Association for… · 668 citations
- Automated Concatenation of Embeddings for Structured PredictionXinyu Wang, Yong Jiang, Nguyen Bach, et al.Annual Meeting of the Association for… · 206 citations
- Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningXinyu Wang, Yong Jiang, Nguyen Bach, et al.Annual Meeting of the Association for… · 205 citations
- Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions (original ↗)Zhongqiang Huang, Martin Čmejrek, Bowen Zhou2010 · Proceedings of the 2010 Conference on Empirical… · 49 citations · no summary yet
- Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation (original ↗)Zhongqiang Huang, Jacob Devlin, Rabih Zbib2013 · Proceedings of the 2013 Conference on Empirical… · 23 citations · no summary yet
Co-authors here
- Fei Huang ×2
- Kewei Tu ×2
- Nguyen Bach ×2
- Tao Wang ×2
- Xinyu Wang ×2
- Yong Jiang ×2
- Jacob Devlin
- John Makhoul
- Rabih Zbib
- Richard Schwartz
Venues
- Annual Meeting of the Association for Computational… ×3: 2021 ×2, 2014
- Proceedings of the 2010 Conference on Empirical Methods in… ×2
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/zhongqiang-huang/