Unsupervised Representation Learning with Deep Convolutional Neural Network for Remote Sensing Images. - Yang Yu 006; Zhiqiang Gong; Ping Zhong 001; Jiaxin Shan (ICIG (2), 2017)

Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification. - Zhiqiang Gong; Ping Zhong 001; Yang Yu 006; Jiaxin Shan; Weidong Hu (MLSP, 2017)

Diversifying Deep Multiple Choices for Remote Sensing Scene Classification. - Zhiqiang Gong; Ping Zhong 001; Jiaxin Shan; Weidong Hu (IGARSS, 2018)

A Diversified Deep Ensemble for Hyperspectral Image Classification. - Zhiqiang Gong; Ping Zhong 001; Jiaxin Shan; Weidong Hu (WHISPERS, 2018)

A Bag-Level Data Imbalanced Multiple Instance Hyperspectral Target Representation. - Jiaxin Shan; Zhiqiang Gong; Ping Zhong 001 (WHISPERS, 2018)

Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. - Ping Zhong 001; Zhiqiang Gong; Jiaxin Shan (IEEE Trans. Neural Networks Learn. Syst., 2020)

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 (WOC@Middleware, 2021)

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 001; Cheng Chen 008; Hui Zhang; et al. (EuroSys, 2024)

AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure. - Jiaxin Shan; Varun Gupta; Le Xu; Haiyang Shi; Jingyuan Zhang; Ning Wang; Linhui Xu; Rong Kang; Tongping Liu; Yifei Zhang; Yiqing Zhu; Shuowei Jin; et al. (CoRR, 2025)

PolyServe: Efficient Multi-SLO Serving at Scale. - Kan Zhu; Haiyang Shi; Le Xu; Jiaxin Shan; Arvind Krishnamurthy; Baris Kasikci; Liguang Xie (CoRR, 2025)