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Haiping Huang

40 papers hereh-index 13619 citations54 works total

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

author position
  • sole author12
  • first author13
  • last author13

Across the 38 of 40 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn19
  • cs.LG9
  • cond-mat.stat-mech7
  • q-bio.NC4
  • stat.ML1
same name
  • Haiping Huang — 7 papers, h 4
  • Haiping Huang — 5 papers, h 2
  • Haiping Huang — 4 papers, h 4
  • Haiping Huang — 2 papers, h 25
  • Haiping Huang — 2 papers, h 0
  • Haiping Huang — 2 papers, h 2

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

activity
20092023
most citedOrigin of the computational hardness for learning with binary synapses

68 citations · 493 across the 40 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 4 cited

Data-driven effective model shows a liquid-like deep learning

Wenxuan Zou, Haiping Huang

The geometric structure of an optimization landscape is argued to be fundamentally important to support the success of deep neural network learning. A direct computation of the lan…

cs.LG2020★ 7 cited

Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors

Zijian Jiang, Jianwen Zhou, Haiping Huang

Artificial neural networks can achieve impressive performances, and even outperform humans in some specific tasks. Nevertheless, unlike biological brains, the artificial neural net…

cs.LG2020★ 9 cited

Weakly-correlated synapses promote dimension reduction in deep neural networks

Jianwen Zhou, Haiping Huang

By controlling synaptic and neural correlations, deep learning has achieved empirical successes in improving classification performances. How synaptic correlations affect neural co…

cs.LG2020★ 18 cited

Learning credit assignment

Chan Li, Haiping Huang

Deep learning has achieved impressive prediction accuracies in a variety of scientific and industrial domains. However, the nested non-linear feature of deep learning makes the lea…

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