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Yang Liu

23 papers hereh-index 203.2k citations27 works total

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

author position
  • sole author1
  • first author4
  • middle author14
  • last author3

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.CL3
  • cs.AI1
  • cs.LG1
  • cs.NE1
  • eess.IV1
same name
  • Yang Liu — 129 papers, h 73
  • Yang Liu — 94 papers, h 65
  • Yang Liu — 41 papers, h 63
  • Yang Liu — 38 papers, h 23
  • Yang Liu — 35 papers, h 27
  • Yang Liu — 34 papers, h 39

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
20182022
most citedTCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning

134 citations · 511 across the 22 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 37 cited

U-Net: Machine Reading Comprehension with Unanswerable Questions

Fu Sun, Linyang Li, Xipeng Qiu +1

Machine reading comprehension with unanswerable questions is a new challenging task for natural language processing. A key subtask is to reliably predict whether the question is un…

cs.CV2018

Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate

Sheng Chen, Jia Guo, Yang Liu +2

In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block, which reweights local features in a convolutional neural network (CNN) adaptively according to their L2 no…

cs.NE2018★ 1 cited

Research on the Brain-inspired Cross-modal Neural Cognitive Computing Framework

Yang Liu

To address modeling problems of brain-inspired intelligence, this thesis is focused on researching in the semantic-oriented framework design for multimedia and multimodal informati…

cs.CV2018★ 48 cited

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

Sheng Chen, Yang Liu, Xiang Gao +1

We present a class of extremely efficient CNN models, MobileFaceNets, which use less than 1 million parameters and are specifically tailored for high-accuracy real-time face verifi…

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