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researcher

Sai Zhang

4 papers hereh-index 6164 citations21 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR1
  • cs.ET1
  • cs.LG1
  • stat.ML1
same name
  • Sai Zhang — 7 papers, h 5
  • Sai Zhang — 2 papers, h 4
  • Sai Zhang — 2 papers, h 3
  • Sai Zhang — 2 papers, h 8
  • Sai Zhang — 1 paper, h 0
  • Sai Zhang — 1 paper, 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

most citedReducing the Energy Cost of Inference via In-sensor Information Processing

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.ET2026

SimAMC: A Fast and Accurate Simulator for Resistive Memory-Based Analog Matrix Computing with Non-Idealities

Junbin Long, Mu Zhou, Saitao Zhang +2

Analog matrix computing (AMC) circuits leverage resistive memory arrays to perform matrix operations in a massively parallel manner, providing an efficient approach for acceleratin…

stat.ML2016★ 1 cited

Understanding the Energy and Precision Requirements for Online Learning

Charbel Sakr, Ameya Patil, Sai Zhang +2

It is well-known that the precision of data, hyperparameters, and internal representations employed in learning systems directly impacts its energy, throughput, and latency. The pr…

cs.LG2016★ 1 cited

Error-Resilient Machine Learning in Near Threshold Voltage via Classifier Ensemble

Sai Zhang, Naresh Shanbhag

In this paper, we present the design of error-resilient machine learning architectures by employing a distributed machine learning framework referred to as classifier ensemble (CE)…

cs.AR2016★ 3 cited

Reducing the Energy Cost of Inference via In-sensor Information Processing

Sai Zhang, Mingu Kang, Charbel Sakr +1

There is much interest in incorporating inference capabilities into sensor-rich embedded platforms such as autonomous vehicles, wearables, and others. A central problem in the desi…

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