dblp: Quan Liu 0008 (original) (raw)

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• > Home > Persons

Person information

• affiliation: Alibaba Group, Hangzhou, China

Other persons with the same name

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• Quan Liu — disambiguation page

• Quan Liu 0001 — Wuhan University of Technology, School of Information Engineering, Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Wuhan, China (and 1 more)

• Quan Liu 0002 — Vanderbilt University, Department of Computer Science, Nashville, TN, USA (and 1 more)

• Quan Liu 0003 — University of Science and Technology of China, iFLYTEK Research, Hefei, China (and 1 more)

• Quan Liu 0004 — Soochow University, School of Computer Science and Technology, Provincial Key Laboratory for Computer Information Processing Technology, Suzhou, China

• Quan Liu 0005 — University of Chinese Academy of Sciences, College of Earth and Planetary Sciences, Beijing, China (and 1 more)

• Quan Liu 0006 — Shanghai Jiao Tong University, Department of Computer Science and Technology, Shanghai, China

• Quan Liu 0007 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China

• Quan Liu 0009 — National University of Defense Technology, National Key Laboratory for Parallel and Distributed Processing, Changsha, China

• Quan Liu 0010 — Xiamen University, School of Electronic Science and Engineering, Institute of Electromagnetics and Acoustics, Xiamen, China (and 2 more)

Other persons with a similar name

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2020 – today

• 2022
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  [c4]
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    Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
    Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. SIGIR 2022: 1802-1806
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  [c3]
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    Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng:
    Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. SIGIR 2022: 2013-2017
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  [c2]
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    Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
    Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. WSDM 2022: 1368-1376
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  [i3]
  Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
  Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. CoRR abs/2201.06814 (2022)
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  [i2]
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    Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
    Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. CoRR abs/2206.01022 (2022)
• 2021
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  [c1]
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    Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
    Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CIKM 2021: 3976-3985
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  [i1]
  Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
  Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CoRR abs/2111.00926 (2021)

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