◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Nannan Li

Institute of Automation, Chinese Academy of Sciences,University of Chinese Academy of Sciences

6 papers hereh-index 262k citations98 works total

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

author position
  • middle author5

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.MA1
  • stat.ML1
affiliations
  • Institute of Automation, Chinese Academy of Sciences,University of Chinese Academy of Sciences
same name
  • Nannan Li — 10 papers, h 3
  • Nannan Li — 5 papers, h 12
  • Nannan Li — 3 papers, h 6
  • Nannan Li — 3 papers, h 4
  • Nannan Li — 3 papers, h 3
  • Nannan Li — 3 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
20192023
most citedA Survey of Deep Reinforcement Learning in Video Games

149 citations · 222 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 1 cited

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search

Zixiang Ding, Yaran Chen, Nannan Li +2

Different from other deep scalable architecture-based NAS approaches, Broad Neural Architecture Search (BNAS) proposes a broad scalable architecture which consists of convolution a…

cs.CV2021★ 1 cited

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search

Jiaqi Li, Haoran Li, Yaran Chen +5

Currently, an increasing number of model pruning methods are proposed to resolve the contradictions between the computer powers required by the deep learning models and the resourc…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.