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ORCIDLi Dong 0004
Person information
- affiliation: University of Edinburgh, School of Informatics, UK
- affiliation (former): Beihang University, SKLSDE, Beijing, China
Other persons with the same name
- Li Dong — disambiguation page
- Li Dong 0001 — Tsinghua University, Department of Computer Science and Technology / System Division of Library, Beijing, China
- Li Dong 0002 — Bohai University, College of Mathematics and Physics, Jinzhou, China (and 1 more)
- Li Dong 0003
![[0000-0002-2059-8842]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2059-8842")
— University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu, China - Li Dong 0005 — Dalian Nationalities University, College of Science, China
- Li Dong 0006 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China (and 1 more)
- Li Dong 0007 — Xi'an Jiaotong University, School of Microelectronics, China
- Li Dong 0008 — Northeastern University, Engineering Optimization and Smart Antenna Institute, Qinhuangdao, China
- Li Dong 0009 — Hunan University of Technology and Business, Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Changsha, China (and 1 more)
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2020 – today
- 2020
[c30]Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang:
Cross-Lingual Natural Language Generation via Pre-Training. AAAI 2020: 7570-7577- [c29]Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu:
Harvesting and Refining Question-Answer Pairs for Unsupervised QA. ACL 2020: 6719-6728 - [c28]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. ECCV (30) 2020: 121-137 - [c27]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML 2020: 642-652 - [c26]Zewen Chi, Li Dong, Furu Wei, Xianling Mao, Heyan Huang:
Can Monolingual Pretrained Models Help Cross-Lingual Classification? AACL/IJCNLP 2020: 12-17 - [c25]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Investigating Learning Dynamics of BERT Fine-Tuning. AACL/IJCNLP 2020: 87-92 - [c24]Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. NeurIPS 2020 - [i27]Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou:
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. CoRR abs/2002.10957 (2020) - [i26]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. CoRR abs/2002.12804 (2020) - [i25]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. CoRR abs/2004.06165 (2020) - [i24]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. CoRR abs/2004.11207 (2020) - [i23]Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu:
Harvesting and Refining Question-Answer Pairs for Unsupervised QA. CoRR abs/2005.02925 (2020) - [i22]Zewen Chi, Li Dong, Furu Wei, Nan Yang, Saksham Singhal, Wenhui Wang, Xia Song, Xian-Ling Mao, Heyan Huang, Ming Zhou:
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. CoRR abs/2007.07834 (2020) - [i21]Shuming Ma, Jian Yang, Haoyang Huang, Zewen Chi, Li Dong, Dongdong Zhang, Hany Hassan Awadalla, Alexandre Muzio, Akiko Eriguchi, Saksham Singhal, Xia Song, Arul Menezes, Furu Wei:
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders. CoRR abs/2012.15547 (2020) - [i20]Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei:
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. CoRR abs/2012.15828 (2020)
2010 – 2019
- 2019
- [j5]Xi Wang, Jiagao Lyu, Li Dong, Ke Xu:
Multitask learning for biomedical named entity recognition with cross-sharing structure. BMC Bioinform. 20(1): 427:1-427:13 (2019) - [c23]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. AAAI 2019: 6908-6915 - [c22]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-text Generation with Entity Modeling. ACL (1) 2019: 2023-2035 - [c21]Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. ACL (1) 2019: 4238-4248 - [c20]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Lei Cui, Songhao Piao, Ming Zhou:
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension. MRQA@EMNLP 2019: 14-18 - [c19]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Visualizing and Understanding the Effectiveness of BERT. EMNLP/IJCNLP (1) 2019: 4141-4150 - [c18]Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS 2019: 13042-13054 - [i19]Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. CoRR abs/1905.03197 (2019) - [i18]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-text Generation with Entity Modeling. CoRR abs/1906.03221 (2019) - [i17]Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu:
Learning to Ask Unanswerable Questions for Machine Reading Comprehension. CoRR abs/1906.06045 (2019) - [i16]Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Visualizing and Understanding the Effectiveness of BERT. CoRR abs/1908.05620 (2019) - [i15]Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xianling Mao, Heyan Huang:
Cross-Lingual Natural Language Generation via Pre-Training. CoRR abs/1909.10481 (2019) - [i14]Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu:
Transforming Wikipedia into Augmented Data for Query-Focused Summarization. CoRR abs/1911.03324 (2019) - [i13]Zewen Chi, Li Dong, Furu Wei, Xianling Mao, Heyan Huang:
Can Monolingual Pretrained Models Help Cross-Lingual Classification? CoRR abs/1911.03913 (2019) - 2018
- [j4]Ursula Challita, Li Dong, Walid Saad:
Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective. IEEE Trans. Wirel. Commun. 17(7): 4674-4689 (2018) - [c17]Li Dong, Mirella Lapata:
Coarse-to-Fine Decoding for Neural Semantic Parsing. ACL (1) 2018: 731-742 - [c16]Li Dong, Chris Quirk, Mirella Lapata:
Confidence Modeling for Neural Semantic Parsing. ACL (1) 2018: 743-753 - [i12]Li Dong, Chris Quirk, Mirella Lapata:
Confidence Modeling for Neural Semantic Parsing. CoRR abs/1805.04604 (2018) - [i11]Li Dong, Mirella Lapata:
Coarse-to-Fine Decoding for Neural Semantic Parsing. CoRR abs/1805.04793 (2018) - [i10]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. CoRR abs/1809.00582 (2018) - 2017
- [c15]Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, Ke Xu:
Learning to Generate Product Reviews from Attributes. EACL (1) 2017: 623-632 - [c14]Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata:
Learning to Paraphrase for Question Answering. EMNLP 2017: 875-886 - [i9]Ursula Challita, Li Dong, Walid Saad:
Proactive Resource Management in LTE-U Systems: A Deep Learning Perspective. CoRR abs/1702.07031 (2017) - [i8]Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata:
Learning to Paraphrase for Question Answering. CoRR abs/1708.06022 (2017) - 2016
- [j3]Li Dong, Furu Wei, Ke Xu, Shixia Liu, Ming Zhou:
Adaptive Multi-Compositionality for Recursive Neural Network Models. IEEE ACM Trans. Audio Speech Lang. Process. 24(3): 422-431 (2016) - [c13]Li Dong, Mirella Lapata:
Language to Logical Form with Neural Attention. ACL (1) 2016 - [c12]Jianpeng Cheng, Li Dong, Mirella Lapata:
Long Short-Term Memory-Networks for Machine Reading. EMNLP 2016: 551-561 - [c11]Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou:
Solving and Generating Chinese Character Riddles. EMNLP 2016: 846-855 - [c10]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI 2016: 2979-2985 - [i7]Li Dong, Mirella Lapata:
Language to Logical Form with Neural Attention. CoRR abs/1601.01280 (2016) - [i6]Jianpeng Cheng, Li Dong, Mirella Lapata:
Long Short-Term Memory-Networks for Machine Reading. CoRR abs/1601.06733 (2016) - [i5]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. CoRR abs/1605.07843 (2016) - 2015
- [j2]Li Dong, Furu Wei, Shujie Liu, Ming Zhou, Ke Xu:
A Statistical Parsing Framework for Sentiment Classification. Comput. Linguistics 41(2): 293-336 (2015) - [j1]Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1750-1761 (2015) - [c9]Ziqiang Cao, Furu Wei, Li Dong, Sujian Li, Ming Zhou:
Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization. AAAI 2015: 2153-2159 - [c8]Li Dong, Furu Wei, Ming Zhou, Ke Xu:
Question Answering over Freebase with Multi-Column Convolutional Neural Networks. ACL (1) 2015: 260-269 - [c7]Li Dong, Furu Wei, Hong Sun, Ming Zhou, Ke Xu:
A Hybrid Neural Model for Type Classification of Entity Mentions. IJCAI 2015: 1243-1249 - [c6]Li Dong, Furu Wei, Yichun Yin, Ming Zhou, Ke Xu:
Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets. SemEval@NAACL-HLT 2015: 515-519 - 2014
- [c5]Li Dong, Furu Wei, Ming Zhou, Ke Xu:
Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis. AAAI 2014: 1537-1543 - [c4]Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu:
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. ACL (2) 2014: 49-54 - [c3]Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou:
A Joint Segmentation and Classification Framework for Sentiment Analysis. EMNLP 2014: 477-487 - [i4]Li Dong, Furu Wei, Shujie Liu, Ming Zhou, Ke Xu:
A Statistical Parsing Framework for Sentiment Classification. CoRR abs/1401.6330 (2014) - 2013
- [c2]Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu:
The Automated Acquisition of Suggestions from Tweets. AAAI 2013 - [i3]Xiao Liang, Jichang Zhao, Li Dong, Ke Xu:
Unraveling the origin of exponential law in intra-urban human mobility. CoRR abs/1305.6364 (2013) - 2012
- [c1]Jichang Zhao, Li Dong, Junjie Wu, Ke Xu:
MoodLens: an emoticon-based sentiment analysis system for chinese tweets. KDD 2012: 1528-1531 - [i2]Xiao Liang, Jichang Zhao, Li Dong, Ke Xu:
Modeling collective human mobility: Understanding exponential law of intra-urban movement. CoRR abs/1212.6331 (2012) - 2011
- [i1]Jichang Zhao, Xu Feng, Li Dong, Xiao Liang, Ke Xu:
Performance of Local Information Based Link Prediction: A Sampling Perspective. CoRR abs/1107.1586 (2011)
Coauthor Index
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