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Pengfei Zhang

4 papers hereh-index 4123 citations10 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.DB3
  • cs.DC1
same name
  • Pengfei Zhang — 66 papers, h 27
  • Pengfei Zhang — 23 papers, h 12
  • Pengfei Zhang — 20 papers, h 12
  • Pengfei Zhang — 14 papers, h 2
  • Pengfei Zhang — 13 papers, h 8
  • Pengfei Zhang — 11 papers, h 3

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 citedHigh Performance Depthwise and Pointwise Convolutions on Mobile Devices

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.DB2022

ByteStore: Hybrid Layouts for Main-Memory Column Stores

Pengfei Zhang, Ziqiang Feng, Eric Lo +1

The performance of main memory column stores highly depends on the scan and lookup operations on the base column layouts. Existing column-stores adopt a homogeneous column layout,…

cs.DB2020★ 1 cited

Top-K Deep Video Analytics: A Probabilistic Approach

Ziliang Lai, Chenxia Han, Chris Liu +3

The impressive accuracy of deep neural networks (DNNs) has created great demands on practical analytics over video data. Although efficient and accurate, the latest video analytic…

cs.DC2020★ 3 cited

High Performance Depthwise and Pointwise Convolutions on Mobile Devices

Pengfei Zhang, Eric Lo, Baotong Lu

Lightweight convolutional neural networks (e.g., MobileNets) are specifically designed to carry out inference directly on mobile devices. Among the various lightweight models, dept…

cs.DB2018

Towards Self-Tuning Parameter Servers

Chris Liu, Pengfei Zhang, Bo Tang +4

Recent years, many applications have been driven advances by the use of Machine Learning (ML). Nowadays, it is common to see industrial-strength machine learning jobs that involve…

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