Nannan Li

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China


According to our database1, Nannan Li authored at least 16 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search.
IEEE Trans. Syst. Man Cybern. Syst., 2022

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2022

BViT: Broad Attention based Vision Transformer.
CoRR, 2022

2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.
CoRR, 2021

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search.
CoRR, 2021

2020
Heuristic Rank Selection with Progressively Searching Tensor Ring Network.
CoRR, 2020

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate.
CoRR, 2020

Efficient Neural Architecture Search: A Broad Version.
CoRR, 2020

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Shift-Invariant Convolutional Network Search.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Survey of Deep Reinforcement Learning in Video Games.
CoRR, 2019

Simplified Space Based Neural Architecture Search.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Learning Battles in ViZDoom via Deep Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018


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