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Nannan Li

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

3 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 author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.MA1
  • stat.ML1
affiliations
  • Institute of Automation, Chinese Academy of Sciences,University of Chinese Academy of Sciences
same name
  • Nannan Li — 4 papers, h 12
  • Nannan Li — 1 paper
  • Nannan Li — 1 paper
  • Nannan Li — 1 paper
  • Nannan Li — 1 paper
  • Nannan Li — 1 paper

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
20192021
most citedA Survey of Deep Reinforcement Learning in Video Games

149 citations · 150 across the 2 of their papers we have counts for

collaborators

3 papers

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…

stat.ML2020

BNAS:An Efficient Neural Architecture Search Approach Using Broad Scalable Architecture

Zixiang Ding, Yaran Chen, Nannan Li +3

In this paper, we propose Broad Neural Architecture Search (BNAS) where we elaborately design broad scalable architecture dubbed Broad Convolutional Neural Network (BCNN) to solve…

cs.MA2019★ 149 cited

A Survey of Deep Reinforcement Learning in Video Games

Kun Shao, Zhentao Tang, Yuanheng Zhu +2

Deep reinforcement learning (DRL) has made great achievements since proposed. Generally, DRL agents receive high-dimensional inputs at each step, and make actions according to deep…

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