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researcher

Z. Yao

50 papers hereh-index 369.5k citations66 works total

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

author position
  • first author15
  • middle author31
  • last author1

Across the 47 of 50 papers where every author was matched, so the position is known.

fields
  • cs.LG20
  • cs.CL11
  • cs.CV10
  • math.OC2
  • stat.CO2
  • cs.CR1
same name
  • Z. Yao — 43 papers, h 29
  • Z. Yao — 18 papers, h 21
  • Z. Yao — 16 papers, h 6
  • Z. Yao — 14 papers, h 11
  • Z. Yao — 14 papers, h 8
  • Z. Yao — 14 papers, h 15

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
20152024
most citedShallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors

259 citations · 1.2k across the 48 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

3 papers · 2 filters

cs.CV2021★ 153 cited

How Much Can CLIP Benefit Vision-and-Language Tasks?

Sheng Shen, Liunian Harold Li, Hao Tan +5

Most existing Vision-and-Language (V&L) models rely on pre-trained visual encoders, using a relatively small set of manually-annotated data (as compared to web-crawled data), to pe…

cs.CV2021★ 42 cited

A Survey of Quantization Methods for Efficient Neural Network Inference

Amir Gholami, Sehoon Kim, Zhen Dong +3

As soon as abstract mathematical computations were adapted to computation on digital computers, the problem of efficient representation, manipulation, and communication of the nume…

cs.CV2021★ 5 cited

Hessian-Aware Pruning and Optimal Neural Implant

Shixing Yu, Zhewei Yao, Amir Gholami +4

Pruning is an effective method to reduce the memory footprint and FLOPs associated with neural network models. However, existing structured-pruning methods often result in signific…

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