E-LIB Suche - Ergebnisse für: Dong, Shaokang

1

Multi-Agent Sparse Interaction Modeling is an Anomaly Detec..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Li, Chao ; Dong, Shaokang ; Yang, Shangdong... - p. 5890-5894 , 2024

2

A Novel Multiscale Contrastive Learning Network for Fine-Gr..:

Dong, Shaokang ; Feng, Jiangfan ; Fang, Dongxu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17 (2024) - p. 9989-10005 , 2024

Link: https://doi.org/10.1109/..

3

WToE: Learning When to Explore in Multiagent Reinforcement ..:

Dong, Shaokang ; Mao, Hangyu ; Yang, Shangdong...
IEEE Transactions on Cybernetics. 54 (2024) 8 - p. 4789-4801 , 2024

Link: https://doi.org/10.1109/..

4

Egoism, utilitarianism and egalitarianism in multi-agent re..:

Dong, Shaokang ; Li, Chao ; Yang, Shangdong...
Neural Networks. 178 (2024) - p. 106544 , 2024

Link: https://doi.org/10.1016/..

5

Learning Rich Feature Representation and State Change Monit..:

Yin, Kuan ; Feng, Jiangfan ; Dong, Shaokang
Animals. 14 (2024) 6 - p. 902 , 2024

Link: https://doi.org/10.3390/..

6

Multi-Agent Exploration via Self-Learning and Social Learni..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Dong, Shaokang ; Li, Chao ; Chen, Wubing... - p. 5055-5059 , 2024

Link: https://doi.org/10.1109/..

7

Online attentive kernel-based temporal difference learning:

Chen, Xingguo ; Yang, Guang ; Yang, Shangdong...
Knowledge-Based Systems. 278 (2023) - p. 110902 , 2023

Link: https://doi.org/10.1016/..

8

Leveraging transition exploratory bonus for efficient explo..:

Yang, Shangdong ; Wang, Huihui ; Dong, Shaokang.
Future Generation Computer Systems. 145 (2023) - p. 442-453 , 2023

Link: https://doi.org/10.1016/..

9

Study on Facial Recognition Method Based on YOLOv5:

Xu, Wenjin ; Li, Bo ; Du, Yonghui.
Journal of Physics: Conference Series. 2560 (2023) 1 - p. 012020 , 2023

Link: https://doi.org/10.1088/..

10

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning:

, In: Lecture Notes in Computer Science; PRICAI 2022: Trends in Artificial Intelligence,

Li, Chao ; Hu, Yujing ; Tian, Pinzhuo.. - p. 91-105 , 2022

Link: https://doi.org/10.1007/..

11

Research on the failure mechanism of the high-speed train b..:

Ma, Ze-ming ; Dong, Shao-kang ; Zhu, Hao...
Engineering Failure Analysis. 137 (2022) - p. 106169 , 2022

Link: https://doi.org/10.1016/..

12

Application of Artificial Intelligence in an Unsupervised A..:

Xu, Wenjin ; Dong, Shaokang ; Venkateswaran, Narasimhan
Wireless Communications and Mobile Computing. 2022 (2022) - p. 1-11 , 2022

Link: https://doi.org/10.1155/..

13

Preparation of tree-structured ZnO films for solar cells ap..:

Dong, Shaokang ; Li, Shengjun ; Cai, Junhao...
Materials Letters. 305 (2021) - p. 130782 , 2021

Link: https://doi.org/10.1016/..

14

The preparation of all-inorganic CsPbI2−xBr1+x perovskite s..:

Lv, Pin ; Zhang, Putao ; Chen, Zeng...
Solar Energy. 207 (2020) - p. 618-625 , 2020

Link: https://doi.org/10.1016/..

15

An efficient method to boost the short-circuit current of q..:

Dong, Shaokang ; Li, Shengjun ; Cai, Junhao...
Applied Physics Letters. 114 (2019) 4 - p. , 2019

Link: https://doi.org/10.1063/..