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researcher

M. Wegman

3 papers hereh-index 2412.3k citations59 works total

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

author position
  • middle author1
  • last author2

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

fields
  • cs.AI1
  • cs.CV1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedL2-Nonexpansive Neural Networks

30 citations · 30 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

Maximizing Information in Domain-Invariant Representation Improves Transfer Learning

Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang +3

We propose MaxDIRep, a domain adaptation method that improves the decomposition of data representations into domain-independent and domain-dependent components. Existing methods, s…

cs.AI2018★ 30 cited

L2-Nonexpansive Neural Networks

Haifeng Qian, Mark N. Wegman

This paper proposes a class of well-conditioned neural networks in which a unit amount of change in the inputs causes at most a unit amount of change in the outputs or any of the i…

cs.SI2016

A Proximity Measure using Blink Model

Haifeng Qian, Hui Wan, Mark N. Wegman +2

This paper proposes a new graph proximity measure. This measure is a derivative of network reliability. By analyzing its properties and comparing it against other proximity measure…

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