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Journal Articles
- 2023
[j6]Linqing Liu, Xiaolong Xu
:
Self-attention Mechanism at the Token Level: Gradient Analysis and Algorithm Optimization. Knowl. Based Syst. 277: 110784 (2023)- 2022
- [j5]Xiaotian Wang, Zihe Duan, Linqing Liu, Mengyu Li, Yagang An, Yang Zhou:
Multi-Timescale Load Forecast of Large Power Customers Based on Online Data Recovery and Time Series Neural Networks. J. Circuits Syst. Comput. 31(5): 2250088:1-2250088:22 (2022) - 2021
- [j4]Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel:
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics 9: 1098-1115 (2021) - 2019
- [j3]Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu:
DNLC: differential network local consistency analysis. BMC Bioinform. 20-S(15): 489 (2019) - 2016
- [j2]Linqing Liu, Shiye Mei:
Visualizing the GVC research: a co-occurrence network based bibliometric analysis. Scientometrics 109(2): 953-977 (2016) - 2015
- [j1]Linqing Liu, Shiye Mei:
How can an indigenous concept enter the international academic circle: the case of guanxi. Scientometrics 105(1): 645-663 (2015)
Conference and Workshop Papers
- 2023
- [c14]Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture:
What the DAAM: Interpreting Stable Diffusion Using Cross Attention. ACL (1) 2023: 5644-5659 - 2022
- [c13]Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp:
Challenges in Generalization in Open Domain Question Answering. NAACL-HLT (Findings) 2022: 2014-2029 - [c12]Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner:
When Do Flat Minima Optimizers Work? NeurIPS 2022 - 2021
- [c11]Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong:
Controllable Abstractive Dialogue Summarization with Sketch Supervision. ACL/IJCNLP (Findings) 2021: 5108-5122 - 2020
- [c10]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - 2019
- [c9]Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel:
A Multi-Task Learning Framework for Abstractive Text Summarization. AAAI 2019: 9987-9988 - [c8]Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. EMNLP/IJCNLP (1) 2019: 1204-1209 - [c7]Jinfeng Rao, Linqing Liu, Yi Tay, Hsiu-Wei Yang, Peng Shi, Jimmy Lin:
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling. EMNLP/IJCNLP (1) 2019: 5369-5380 - [c6]Hsiu-Wei Yang, Linqing Liu, Ian Milligan, Nick Ruest, Jimmy Lin:
Scalable Content-Based Analysis of Images in Web Archives with TensorFlow and the Archives Unleashed Toolkit. JCDL 2019: 436-437 - 2018
- [c5]Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. AAAI 2018: 8109-8110 - 2017
- [c4]Linqing Liu, Chang Tan, Wen Chen, Yiyang Lu:
The evolution of business model research (1993-2016): based on a co-word and maximum spanning tree analysis. ISSI 2017: 1721-1736 - 2016
- [c3]Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu:
Detecting "Smart" Spammers on Social Network: A Topic Model Approach. SRW@HLT-NAACL 2016: 45-50 - 2010
- [c2]Lian Yu, Wei-Tek Tsai, Xiangji Chen, Linqing Liu, Yan Zhao, Liangjie Tang, Wei Zhao:
Testing as a Service over Cloud. SOSE 2010: 181-188 - 2001
- [c1]Torsten Braun, Linqing Liu:
Multicast for Small Conferences. ISCC 2001: 145-150
Informal and Other Publications
- 2022
- [i10]Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner:
Questions for Flat-Minima Optimization of Modern Neural Networks. CoRR abs/2202.00661 (2022) - [i9]Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp:
Query Expansion Using Contextual Clue Sampling with Language Models. CoRR abs/2210.07093 (2022) - 2021
- [i8]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i7]Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel:
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR abs/2102.07033 (2021) - [i6]Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong:
Controllable Abstractive Dialogue Summarization with Sketch Supervision. CoRR abs/2105.14064 (2021) - [i5]Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp:
Challenges in Generalization in Open Domain Question Answering. CoRR abs/2109.01156 (2021) - 2019
- [i4]Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin:
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. CoRR abs/1903.12136 (2019) - [i3]Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong:
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. CoRR abs/1911.03588 (2019) - 2017
- [i2]Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. CoRR abs/1711.09357 (2017) - 2016
- [i1]Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu:
Detecting "Smart" Spammers On Social Network: A Topic Model Approach. CoRR abs/1604.08504 (2016)
Coauthor Index
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