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Xinyu Zhang

8 papers hereh-index 83.6k citations12 works total

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

author position
  • first author3
  • middle author4

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG2
same name
  • Xinyu Zhang — 28 papers, h 35
  • Xinyu Zhang — 16 papers, h 28
  • Xinyu Zhang — 16 papers, h 9
  • Xinyu Zhang — 14 papers, h 7
  • Xinyu Zhang — 11 papers
  • Xinyu Zhang — 11 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
20192021
most citedRes2Net: A New Multi-scale Backbone Architecture

3.5k citations · 3.5k across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 1 cited

Learnable Cost Volume Using the Cayley Representation

Taihong Xiao, Jinwei Yuan, Deqing Sun +4

Cost volume is an essential component of recent deep models for optical flow estimation and is usually constructed by calculating the inner product between two feature vectors. How…

cs.LG2020

Semi-Supervised Learning with Meta-Gradient

Xin-Yu Zhang, Taihong Xiao, Haolin Jia +2

In this work, we propose a simple yet effective meta-learning algorithm in semi-supervised learning. We notice that most existing consistency-based approaches suffer from overfitti…

cs.CV2020★ 5 cited

Dependency Aware Filter Pruning

Kai Zhao, Xin-Yu Zhang, Qi Han +1

Convolutional neural networks (CNNs) are typically over-parameterized, bringing considerable computational overhead and memory footprint in inference. Pruning a proportion of unimp…

cs.CV2020★ 1 cited

Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle

Xin-Yu Zhang, Kai Zhao, Taihong Xiao +2

Recent advances in convolutional neural networks(CNNs) usually come with the expense of excessive computational overhead and memory footprint. Network compression aims to alleviate…

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