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Zhihui Li

9 papers hereh-index 265.3k citations50 works total

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

author position
  • middle author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • cs.IR1
same name
  • Zhihui Li — 17 papers, h 8
  • Zhihui Li — 11 papers, h 13
  • Zhihui Li — 8 papers, h 7
  • Zhihui Li — 8 papers, h 2
  • Zhihui Li — 3 papers, h 21
  • Zhihui Li — 3 papers

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
20192022
most citedA Comprehensive Survey of Scene Graphs: Generation and Application

323 citations · 592 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2022★ 11 cited

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

Siyi Hu, Yifan Zhong, Minquan Gao +6

A significant challenge facing researchers in the area of multi-agent reinforcement learning (MARL) pertains to the identification of a library that can offer fast and compatible d…

cs.LG2020★ 9 cited

Self-Weighted Robust LDA for Multiclass Classification with Edge Classes

Caixia Yan, Xiaojun Chang, Minnan Luo +4

Linear discriminant analysis (LDA) is a popular technique to learn the most discriminative features for multi-class classification. A vast majority of existing LDA algorithms are p…

cs.LG2020★ 39 cited

A Survey of Deep Active Learning

Pengzhen Ren, Yun Xiao, Xiaojun Chang +5

Active learning (AL) attempts to maximize the performance gain of the model by marking the fewest samples. Deep learning (DL) is greedy for data and requires a large amount of data…

cs.LG2020★ 201 cited

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

Pengzhen Ren, Yun Xiao, Xiaojun Chang +4

Deep learning has made breakthroughs and substantial in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is…

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