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M. Chen

4 papers hereh-index 551 citations11 works total

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

author position
  • last author4

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

fields
  • cs.LG3
  • cs.CR1
same name
  • M. Chen — 306 papers, h 59
  • M. Chen — 278 papers, h 8
  • M. Chen — 221 papers, h 84
  • M. Chen — 176 papers, h 22
  • M. Chen — 155 papers, h 6
  • M. Chen — 121 papers

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 citedIntegration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network

8 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2019★ 8 cited

Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network

Yao Saint Yen, Zhe Wei Chen, Ying Ren Guo +1

Deep learning has been used in the research of malware analysis. Most classification methods use either static analysis features or dynamic analysis features for malware family cla…

cs.LG2019★ 5 cited

Composite Neural Network: Theory and Application to PM2.5 Prediction

Ming-Chuan Yang, Meng Chang Chen

This work investigates the framework and performance issues of the composite neural network, which is composed of a collection of pre-trained and non-instantiated neural network mo…

cs.LG2019★ 1 cited

Theoretical Investigation of Composite Neural Network

Ming-Chuan Yang, Meng Chang Chen

This work theoretically investigates the performance of a composite neural network. A composite neural network is a rooted directed acyclic graph combining a set of pre-trained and…

cs.LG2018★ 1 cited

Wrapped Loss Function for Regularizing Nonconforming Residual Distributions

Chun Ting Liu, Ming Chuan Yang, Meng Chang Chen

Multi-output is essential in machine learning that it might suffer from nonconforming residual distributions, i.e., the multi-output residual distributions are not conforming to th…

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