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Kevin Huang 0002
Person information
- affiliation: JD AI Research, Mountain View, CA, USA
- affiliation: Cornell University, Ithaca, NY, USA
Other persons with the same name
- Kevin Huang — disambiguation page
- Kevin Huang 0001 — Trinity College, Department of Engineering, Hartford, CT, USA (and 1 more)
- Kevin Huang 0003 — Carnegie Mellon University, Pittsburgh, PA, USA (and 1 more)
- Kevin Huang 0004 — Massachusetts Institute of Technology (MIT), Department of Materials Science and Engineering, Cambridge, MA, USA
- Kevin Huang 0005 — Taiwan Semiconductor Manufacturing Company, Hsinchu, Taiwan
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Conference and Workshop Papers
- 2021
- [c6]Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang:
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. AAAI 2021: 14612-14620 - [c5]Lingxiao Wang, Kevin Huang, Tengyu Ma, Quanquan Gu, Jing Huang:
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks. NAACL-HLT 2021: 2609-2615 - [c4]Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang:
Entity and Evidence Guided Document-Level Relation Extraction. RepL4NLP@ACL-IJCNLP 2021: 307-315 - 2020
- [c3]Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou:
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. AAAI 2020: 9073-9080 - [c2]Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu:
Improving Neural Language Generation with Spectrum Control. ICLR 2020 - 2019
- [c1]Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Relation Module for Non-Answerable Predictions on Reading Comprehension. CoNLL 2019: 747-756
Informal and Other Publications
- 2020
- [i6]Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang:
Entity and Evidence Guided Relation Extraction for DocRED. CoRR abs/2008.12283 (2020) - [i5]Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang:
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. CoRR abs/2010.11304 (2020) - 2019
- [i4]Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Relation Module for Non-answerable Prediction on Question Answering. CoRR abs/1910.10843 (2019) - [i3]Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou:
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. CoRR abs/1910.10857 (2019) - [i2]Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou:
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents. CoRR abs/1911.00484 (2019) - 2018
- [i1]Joseph Chuang, Eric Tsai, Kevin Huang, Jay Fetter:
ParaNet - Using Dense Blocks for Early Inference. CoRR abs/1808.08308 (2018)
Coauthor Index
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