Jiaxin Shan

According to our database, Jiaxin Shan authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Performance and Cost Optimization with ASIC-Based CXL Memory.

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

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2021

Designing a Kubernetes Operator for Machine Learning Applications.

Ali Kanso, Edi Palencia, Kinshuman Patra, Jiaxin Shan, Mengyuan Chao, Xu Wei, Tengwei Cai, Kang Chen, Shuai Qiao

Proceedings of the WOC '21: Proceedings of the Seventh International Workshop on Container Technologies and Container Clouds, 2021

2020

Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations.

Ping Zhong, Zhiqiang Gong, Jiaxin Shan

IEEE Trans. Neural Networks Learn. Syst., 2020

2018

A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation.

Jiaxin Shan, Zhiqiang Gong, Ping Zhong

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

A Diversified Deep Ensemble for Hyperspectral Image Classification.

Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Diversifying Deep Multiple Choices for Remote Sensing Scene Classification.

Zhiqiang Gong, Ping Zhong, Jiaxin Shan, Weidong Hu

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification.

Zhiqiang Gong, Ping Zhong, Yang Yu, Jiaxin Shan, Weidong Hu

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images.

Yang Yu, Zhiqiang Gong, Ping Zhong, Jiaxin Shan

Proceedings of the Image and Graphics - 9th International Conference, 2017