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researcher

Quanlian Liu

3 papers hereh-index 5157 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.IR1

identity via Semantic Scholar / OpenAlex

most citedLeaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

6 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization

Mingyuan Cheng, Xinru Liao, Quan Liu +3

Learning individual-level treatment effect is a fundamental problem in causal inference and has received increasing attention in many areas, especially in the user growth area whic…

cs.LG2022★ 6 cited

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

Qianqian Zhang, Xinru Liao, Quan Liu +2

Advertisers play an essential role in many e-commerce platforms like Taobao and Amazon. Fulfilling their marketing needs and supporting their business growth is critical to the lon…

cs.IR2021★ 5 cited

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching

Zongtao Liu, Bin Ma, Quan Liu +2

Digital advertising is a critical part of many e-commerce platforms such as Taobao and Amazon. While in recent years a lot of attention has been drawn to the consumer side includin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.