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2020 – today
- 2024
[c14]Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang, Daniel Preotiuc-Pietro, Xinyu Hua:
Modeling and Detecting Company Risks from News. NAACL (Industry Track) 2024: 63-72- 2023
- [i11]Alexander Spangher, Xinyu Hua, Yao Ming, Nanyun Peng:
Sequentially Controlled Text Generation. CoRR abs/2301.02299 (2023) - 2022
- [c13]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. ACL (Findings) 2022: 423-437 - [c12]Alexander Spangher, Yao Ming, Xinyu Hua, Nanyun Peng:
Sequentially Controlled Text Generation. EMNLP (Findings) 2022: 6848-6866 - [i10]Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. CoRR abs/2204.00707 (2022) - 2021
- [c11]Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL/IJCNLP (1) 2021: 6408-6423 - [c10]Wen Dai, Xinyu Hua, Rongrong Lv, Ruipeng Bo, Shuai Chen:
The Solution of Xiaomi AI Lab to the 2021 Language and Intelligence Challenge: Multi-format Information Extraction Task. NLPCC (2) 2021: 496-508 - [i9]Xinyu Hua, Ashwin Sreevatsa, Lu Wang:
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. CoRR abs/2106.00791 (2021) - 2020
- [c9]Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang:
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. AKBC 2020 - [c8]Yaojun Wang, Xinyu Hua, Yu Wang, Chunming Zhang, Dongbo Bu, Shiwei Sun, Xingce Wang:
Mut-Detecter: An EGFR activating mutation type classification method with a deep convolutional neural network. BIBM 2020: 2386-2389 - [c7]Xinyu Hua, Lu Wang:
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. EMNLP (1) 2020: 781-793 - [i8]Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang:
XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. CoRR abs/2006.14017 (2020) - [i7]Xinyu Hua, Lu Wang:
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. CoRR abs/2010.02301 (2020)
2010 – 2019
- 2019
- [c6]Xinyu Hua, Zhe Hu, Lu Wang:
Argument Generation with Retrieval, Planning, and Realization. ACL (1) 2019: 2661-2672 - [c5]Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. EMNLP/IJCNLP (1) 2019: 591-602 - [c4]Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang:
Argument Mining for Understanding Peer Reviews. NAACL-HLT (1) 2019: 2131-2137 - [i6]Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang:
Argument Mining for Understanding Peer Reviews. CoRR abs/1903.10104 (2019) - [i5]Xinyu Hua, Zhe Hu, Lu Wang:
Argument Generation with Retrieval, Planning, and Realization. CoRR abs/1906.03717 (2019) - [i4]Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. CoRR abs/1909.00734 (2019) - 2018
- [c3]Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. ACL (1) 2018: 219-230 - [i3]Xinyu Hua, Lu Wang:
Neural Argument Generation Augmented with Externally Retrieved Evidence. CoRR abs/1805.10254 (2018) - 2017
- [c2]Xinyu Hua, Lu Wang:
Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. ACL (2) 2017: 203-208 - [c1]Xinyu Hua, Lu Wang:
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. NFiS@EMNLP 2017: 100-106 - [i2]Xinyu Hua, Lu Wang:
Understanding and Detecting Supporting Arguments of Diverse Types. CoRR abs/1705.00045 (2017) - [i1]Xinyu Hua, Lu Wang:
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. CoRR abs/1707.07062 (2017)
Coauthor Index
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