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ORCIDPeng Li 0030
Person information
- affiliation: Tencent Inc., WeChat AI, Pattern Recognition Center, China
- affiliation (former): Baidu Inc., Baidu Research - Institute of Deep Learning, Beijing, China
- affiliation (former): Tsinghua University, TNList, Beijing, China
Other persons with the same name
- Peng Li — disambiguation page
- Peng Li 0001
![[0000-0003-3548-4589]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3548-4589")
— University of California, Santa Barbara, CA, USA (and 2 more) - Peng Li 0002 — Shandong University, School of Control Science and Engineering, Jinan, China
- Peng Li 0003 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Peng Li 0004 — Northwest A&F University, College of Life Science, Yangling, Shaanxi, China
- Peng Li 0005 — University of Alberta, Nanofab, Edmonton, AB, Canada
- Peng Li 0006 — University of Strathclyde, Electronic and Electrical Engineering Department, Glasgow, UK
- Peng Li 0007 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Peng Li 0008 — North China Electric Power University, School of Economics and Management, Beijing, China
- Peng Li 0009 — Harbin University of Commerce, School of Management, China
- Peng Li 0010 — University of Wollongong, School of Mathematics & Applied Statistics, NSW, Australia (and 2 more)
- Peng Li 0011 — Nanjing University of Posts and Telecommunications, School of Computer Science and Technology, China (and 1 more)
- Peng Li 0012 — Chinese Academy of Sciences, Institute of Semiconductors, Beijing, China
- Peng Li 0013 — Hunan University of Technology, College of Electrical and Information Engineering, Zhuzhou, China
- Peng Li 0014 — Tianjin University, Key Laboratory of Smart Grid of the Ministry of Education, China (and 1 more)
- Peng Li 0015 — National University of Defense Technology, College of Mechatronics Engineering and Automation, Changsha, China
- Peng Li 0016 — Shaanxi Normal University, School of Computer Science, China (and 2 more)
- Peng Li 0017 — University of Aizu, School of Computer Science and Engineering, Fukushima, Japan
- Peng Li 0018 — PUC-Rio Rio de Janeiro, Brazil (and 2 more)
- Peng Li 0019 — Harbin Institute of Technology, Shenzhen Graduate School, School of Mechatronical Engineering, China (and 2 more)
- Peng Li 0020 — Microsoft Corporation, Redmond, WA, USA (and 1 more)
- Peng Li 0021 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Peng Li 0022 — Halliburton Energy Services Inc., Houston, TX, USA
- Peng Li 0023 — University of Houston, Department of Mechanical Engineering, TX, USA
- Peng Li 0024 — Imperial College London, Department of Electrical and Electronic Engineering, UK
- Peng Li 0025 — China Academy of Engineering Physics, Beijing, China
- Peng Li 0026 — Nankai University, College of Computer and Control Engineering, Tianjin, China
- Peng Li 0027 — Dalian University of Technology, School of Software Technology, China (and 1 more)
- Peng Li 0028 — Intel Corporation, Hillsboro, OR, USA (and 1 more)
- Peng Li 0029 — Harbin Engineering University, Acoustic Science and Technology Laboratory / College of Underwater Acoustic Engineering, China
- Peng Li 0031 — Tsinghua University, Suzhou Automotive Research Institute, Vehicle Technology Group, Beijing, China (and 3 more)
- Peng Li 0032 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Peng Li 0033 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
- Peng Li 0034 — Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, China
- Peng Li 0035 — China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
- Peng Li 0036 — Xi'an University of Technology, School of Computer Science and Engineering, China (and 1 more)
- Peng Li 0037 — Dalian Polytechnic University, School of Information Science and Engineering, China (and 1 more)
- Peng Li 0038 — Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China
- Peng Li 0039 — Yunnan University, School of Information, Kunming, China
- Peng Li 0040 — Chuzhou University, School of Geographic Information and Tourism, China
- Peng Li 0041 — Center for Disease Control and Prevention of PLA, Beijing, China
- Peng Li 0042 — North China Electric Power University, Key Lab of Condition Monitoring and Control for Power Plant Equipment, Baoding, China
- Peng Li 0043 — Yanshan University, Institute of Electrical Engineering, Qinhuangdao, China
- Peng Li 0044 — Xi'an University of Technology, Faculty of Economics and Management, China (and 1 more)
- Peng Li 0045 — Ostwestfalen-Lippe University of Applied Science, inIT, Lemgo, Germany
- Peng Li 0046 — Wuhan University of Science and Technology, College of Computer Science and Technology / Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Peng Li 0047 — Geo-Centers, Inc., USA
- Peng Li 0048 — France Telecom Orange Labs (Beijing), China
- Peng Li 0049 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Peng Li 0050 — North China Electric Power University, Department of Mathematics and Physics, Baoding, China (and 1 more)
- Peng Li 0051 — Beijing University of Technology, Faculty of Information Technology, Department of Automation, China (and 1 more)
- Peng Li 0052 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Peng Li 0053 — Power China Zhongnan Engineering Corporation Ltd., China (and 2 more)
- Peng Li 0054 — Xiangtan University, School of Information Engineering, China (and 1 more)
- Peng Li 0055 — Loughborough University, UK
- Peng Li 0056 — University of Texas at Arlington, TX, USA (and 1 more)
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2020 – today
- 2021
[i23]YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun:
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. CoRR abs/2102.03752 (2021)- 2020
- [c28]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. AAAI 2020: 3438-3445 - [c27]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. AAAI 2020: 7504-7511 - [c26]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. ACL 2020: 3059-3069 - [c25]Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020: 6429-6440 - [c24]Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou:
MAVEN: A Massive General Domain Event Detection Dataset. EMNLP (1) 2020: 1652-1671 - [c23]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. EMNLP (1) 2020: 2961-2972 - [c22]Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou:
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. EMNLP (1) 2020: 3426-3437 - [c21]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP (1) 2020: 3661-3672 - [c20]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. EMNLP (1) 2020: 7170-7186 - [c19]Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie Zhou:
Neural Gibbs Sampling for Joint Event Argument Extraction. AACL/IJCNLP 2020: 169-180 - [c18]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL/IJCNLP 2020: 745-758 - [c17]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. WMT@EMNLP 2020: 239-247 - [i22]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. CoRR abs/2004.03186 (2020) - [i21]Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou:
MAVEN: A Massive General Domain Event Detection Dataset. CoRR abs/2004.13590 (2020) - [i20]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. CoRR abs/2006.05165 (2020) - [i19]YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun:
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. CoRR abs/2009.13964 (2020) - [i18]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. CoRR abs/2010.00247 (2020) - [i17]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. CoRR abs/2010.01923 (2020) - [i16]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. CoRR abs/2010.02565 (2020) - [i15]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection. CoRR abs/2010.04970 (2020) - [i14]Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou, Yan Zhang:
DisenE: Disentangling Knowledge Graph Embeddings. CoRR abs/2010.14730 (2020) - [i13]Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Accelerating Pre-trained Language Models via Calibrated Cascade. CoRR abs/2012.14682 (2020) - [i12]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. CoRR abs/2012.15022 (2020)
2010 – 2019
- 2019
- [c16]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL (1) 2019: 764-777 - [c15]Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun:
Towards Fine-grained Text Sentiment Transfer. ACL (1) 2019: 2013-2022 - [c14]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. ACL (1) 2019: 2047-2057 - [c13]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. EMNLP/IJCNLP (1) 2019: 2474-2484 - [c12]Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren:
HMEAE: Hierarchical Modular Event Argument Extraction. EMNLP/IJCNLP (1) 2019: 5776-5782 - [c11]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP/IJCNLP (1) 2019: 6249-6254 - [c10]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI 2019: 5116-5122 - [c9]Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li:
Adversarial Training for Weakly Supervised Event Detection. NAACL-HLT (1) 2019: 998-1008 - [i11]Qiu Ran, Peng Li, Weiwei Hu, Jie Zhou:
Option Comparison Network for Multiple-choice Reading Comprehension. CoRR abs/1903.03033 (2019) - [i10]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR abs/1905.10060 (2019) - [i9]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. CoRR abs/1906.06127 (2019) - [i8]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. CoRR abs/1908.03067 (2019) - [i7]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View. CoRR abs/1909.03211 (2019) - [i6]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. CoRR abs/1910.06701 (2019) - [i5]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. CoRR abs/1910.07124 (2019) - [i4]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. CoRR abs/1911.02215 (2019) - [i3]Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun:
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks. CoRR abs/1911.03904 (2019) - [i2]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog. CoRR abs/1912.08360 (2019) - 2018
- [c8]Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li:
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. EMNLP 2018: 2236-2245 - 2016
- [j1]Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu:
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 4: 371-383 (2016) - [i1]Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu:
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation. CoRR abs/1606.04199 (2016) - 2014
- [c7]Peng Li, Yang Liu, Maosong Sun, Tatsuya Izuha, Dakun Zhang:
A Neural Reordering Model for Phrase-based Translation. COLING 2014: 1897-1907 - 2013
- [c6]Peng Li, Yang Liu, Maosong Sun:
An Extended GHKM Algorithm for Inducing Lambda-SCFG. AAAI 2013 - [c5]Peng Li, Yang Liu, Maosong Sun:
Recursive Autoencoders for ITG-Based Translation. EMNLP 2013: 567-577 - 2012
- [c4]Peng Li, Yang Liu, Maosong Sun:
A Beam Search Algorithm for ITG Word Alignment. COLING (Posters) 2012: 673-682 - 2010
- [c3]Peng Li, Maosong Sun, Ping Xue:
Fast-Champollion: A Fast and Robust Sentence Alignment Algorithm. COLING (Posters) 2010: 710-718
2000 – 2009
- 2009
- [c2]Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun:
Clustering to Find Exemplar Terms for Keyphrase Extraction. EMNLP 2009: 257-266 - [c1]Xiance Si, Zhiyuan Liu, Peng Li, Qixia Jiang, Maosong Sun:
Content-based and Graph-based Tag Suggestion. DC@PKDD/ECML 2009
Coauthor Index
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