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Tung D. Le

3 papers here

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

fields
  • cs.LG2
  • cs.PL1

identity via Semantic Scholar / OpenAlex

most citedCompiling ONNX Neural Network Models Using MLIR

39 citations · 46 across the 2 of their papers we have counts for

collaborators

3 papers

cs.PL2020★ 39 cited

Compiling ONNX Neural Network Models Using MLIR

Tian Jin, Gheorghe-Teodor Bercea, Tung D. Le +8

Deep neural network models are becoming increasingly popular and have been used in various tasks such as computer vision, speech recognition, and natural language processing. Machi…

cs.LG2018★ 7 cited

Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method

Haruki Imai, Samuel Matzek, Tung D. Le +2

Deep neural network models used for medical image segmentation are large because they are trained with high-resolution three-dimensional (3D) images. Graphics processing units (GPU…

cs.LG2018

TFLMS: Large Model Support in TensorFlow by Graph Rewriting

Tung D. Le, Haruki Imai, Yasushi Negishi +1

While accelerators such as GPUs have limited memory, deep neural networks are becoming larger and will not fit with the memory limitation of accelerators for training. We propose a…

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