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Xiangyang Wang

4 papers hereh-index 5249 citations8 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Xiangyang Wang — 2 papers, h 3
  • Xiangyang Wang — 1 paper
  • Xiangyang Wang — 1 paper, h 7
  • Xiangyang Wang — 1 paper, h 1

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

most citedConvolutional Neural Network Pruning with Structural Redundancy Reduction

14 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 14 cited

Convolutional Neural Network Pruning with Structural Redundancy Reduction

Zi Wang, Chengcheng Li, Xiangyang Wang

Convolutional neural network (CNN) pruning has become one of the most successful network compression approaches in recent years. Existing works on network pruning usually focus on…

cs.CV2019

Investigating Channel Pruning through Structural Redundancy Reduction -- A Statistical Study

Chengcheng Li, Zi Wang, Dali Wang +2

Most existing channel pruning methods formulate the pruning task from a perspective of inefficiency reduction which iteratively rank and remove the least important filters, or find…

cs.CV2019

Speeding up convolutional networks pruning with coarse ranking

Zi Wang, Chengcheng Li, Dali Wang +2

Channel-based pruning has achieved significant successes in accelerating deep convolutional neural network, whose pipeline is an iterative three-step procedure: ranking, pruning an…

cs.CV2019★ 4 cited

Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers

Chengcheng Li, Zi Wang, Xiangyang Wang +1

Channel pruning has been identified as an effective approach to constructing efficient network structures. Its typical pipeline requires iterative pruning and fine-tuning. In this…

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