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researcher

Q. Liu

69 papers hereh-index 328.2k citations117 works total

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

author position
  • first author8
  • middle author47
  • last author1

Across the 56 of 69 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • cs.CL16
  • cs.IR14
  • cs.AI8
  • cs.CV4
  • cs.SI3
same name
  • Q. Liu — 266 papers, h 49
  • Q. Liu — 258 papers
  • Q. Liu — 204 papers, h 0
  • Q. Liu — 85 papers
  • Q. Liu — 79 papers, h 2
  • Q. Liu — 77 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedGraph Contrastive Learning with Adaptive Augmentation

1.1k citations · 2.3k across the 68 of their papers we have counts for

collaborators
Showing 2023 · cs.AIShow all

4 papers · 2 filters

cs.AI2023★ 1 cited

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification

Huanhuan Ma, Weizhi Xu, Yifan Wei +4

Fact verification aims to automatically probe the veracity of a claim based on several pieces of evidence. Existing works are always engaging in accuracy improvement, let alone exp…

cs.AI2023

TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis

Xiangzhu Meng, Wei Wei, Qiang Liu +2

In recent years, functional magnetic resonance imaging has emerged as a powerful tool for investigating the human brain's functional connectivity networks. Related studies demonstr…

cs.AI2023★ 4 cited

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation

Wenbo Hu, Xin Sun, Qiang liu +2

Post-click conversion rate (CVR) is a reliable indicator of online customers' preferences, making it crucial for developing recommender systems. A major challenge in predicting CVR…

cs.AI2023

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning

Yuwei Xia, Mengqi Zhang, Qiang Liu +2

Reasoning over Temporal Knowledge Graphs (TKGs) aims to predict future facts based on given history. One of the key challenges for prediction is to learn the evolution of facts. Mo…

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