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researcher

Gang Pan

Zhejiang University

20 papers hereh-index 498.4k citations205 works total

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

author position
  • middle author9
  • last author10

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.NE4
  • cs.LG3
  • cs.AI1
  • cs.DB1
  • cs.ET1
affiliations
  • Zhejiang University
Homepage
same name
  • Gang Pan — 15 papers, h 10
  • Gang Pan — 14 papers, h 18
  • Gang Pan — 11 papers, h 14
  • Gang Pan — 10 papers, h 5
  • Gang Pan — 7 papers, h 7
  • Gang Pan — 6 papers, h 5

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
20142023
most citedImproving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

227 citations · 441 across the 20 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2019★ 2 cited

Policy Optimization with Stochastic Mirror Descent

Long Yang, Yu Zhang, Gang Zheng +5

Improving sample efficiency has been a longstanding goal in reinforcement learning. This paper proposes VRMPO algorithm: a sample efficient policy gradient method with s…

cs.LG2017

Spectral-graph Based Classifications: Linear Regression for Classification and Normalized Radial Basis Function Network

Zhenfang Hu, Gang Pan, Zhaohui Wu

Spectral graph theory has been widely applied in unsupervised and semi-supervised learning. In this paper, we find for the first time, to our knowledge, that it also plays a concre…

cs.LG2014★ 2 cited

Sparse Principal Component Analysis via Rotation and Truncation

Zhenfang Hu, Gang Pan, Yueming Wang +1

Sparse principal component analysis (sparse PCA) aims at finding a sparse basis to improve the interpretability over the dense basis of PCA, meanwhile the sparse basis should cover…

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