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researcher

Ming-I Huang

2 papers hereh-index 1163 citations2 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedHierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

18 citations · 18 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Concolic Testing on Individual Fairness of Neural Network Models

Ming-I Huang, Chih-Duo Hong, Fang Yu

This paper introduces PyFair, a formal framework for evaluating and verifying individual fairness of Deep Neural Networks (DNNs). By adapting the concolic testing tool PyCT, we gen…

cs.LG2023★ 18 cited

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

Liyuan Wang, Jingyi Xie, Xingxing Zhang +3

Prompt-based continual learning is an emerging direction in leveraging pre-trained knowledge for downstream continual learning, and has almost reached the performance pinnacle unde…

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