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Jiaxin Shan
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2020 – today
- 2024
- [c7]Yupeng Tang, Ping Zhou, Wenhui Zhang, Henry Hu, Qirui Yang, Hao Xiang, Tongping Liu, Jiaxin Shan, Ruoyun Huang, Cheng Zhao, Cheng Chen, Hui Zhang, Fei Liu, Shuai Zhang, Xiaoning Ding, Jianjun Chen:
Exploring Performance and Cost Optimization with ASIC-Based CXL Memory. EuroSys 2024: 818-833 - 2021
- [c6]Ali Kanso, Edi Palencia, Kinshuman Patra, Jiaxin Shan, Mengyuan Chao, Xu Wei, Tengwei Cai, Kang Chen, Shuai Qiao:
Designing a Kubernetes Operator for Machine Learning Applications. WOC@Middleware 2021: 7-12 - 2020
- [j1]Ping Zhong
, Zhiqiang Gong
, Jiaxin Shan:
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. IEEE Trans. Neural Networks Learn. Syst. 31(1): 246-258 (2020)
2010 – 2019
- 2018
- [c5]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. IGARSS 2018: 4744-4747 - [c4]Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu:
A Diversified Deep Ensemble for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - [c3]Jiaxin Shan, Zhiqiang Gong, Ping Zhong:
A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. WHISPERS 2018: 1-5 - 2017
- [c2]Yang Yu, Zhiqiang Gong, Ping Zhong, Jiaxin Shan:
Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. ICIG (2) 2017: 97-108 - [c1]Zhiqiang Gong, Ping Zhong, Yang Yu, Jiaxin Shan, Weidong Hu:
Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification. MLSP 2017: 1-6
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last updated on 2024-07-29 22:28 CEST by the dblp team
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