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Gang Huang

4 papers hereh-index 13433 citations26 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.SY2
same name
  • Gang Huang — 16 papers, h 8
  • Gang Huang — 14 papers, h 19
  • Gang Huang — 11 papers, h 8
  • Gang Huang — 11 papers, h 36
  • Gang Huang — 8 papers, h 10
  • Gang Huang — 6 papers, h 1

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
20222024
most citedCompound Batch Normalization for Long-tailed Image Classification

7 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SY2024

Identifying the Largest RoCoF and Its Implications

Licheng Wang, Luochen Xie, Gang Huang +1

The rate of change of frequency (RoCoF) is a critical factor in ensuring frequency security, particularly in power systems with low inertia. Currently, most RoCoF security constrai…

eess.SY2023

A Soft Coordination Method of Heterogeneous Devices in Distribution System Voltage Control

Licheng Wang, Tao Wang, Gang Huang +4

With the continuous increase of photovoltaic (PV) penetration, the voltage control interactions between newly installed PV inverters and previously deployed on-load tap-changer (OL…

cs.CV2022★ 7 cited

Compound Batch Normalization for Long-tailed Image Classification

Lechao Cheng, Chaowei Fang, Dingwen Zhang +2

Significant progress has been made in learning image classification neural networks under long-tail data distribution using robust training algorithms such as data re-sampling, re-…

cs.CV2022

PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer

Qibo Qiu, Haiming Gao, Wei Hua +2

Lane detection is one of the fundamental modules in self-driving. In this paper we employ a transformer-only method for lane detection, thus it could benefit from the blooming deve…

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