Dynamic Attribution Analysis for Runoff Change Integrating Landsat-Derived Land Use Dynamics with Swat Model. - Shasha Luo; Qinli Yang; Hongcai Wu; Jiaming Liu 002; Guoqing Wang; Yong Wang 011; Yuanyuan Yang 003 (IGARSS, 2019)

Selective prototype-based learning on concept-drifting data streams. - Dongzi Chen; Qinli Yang; Jiaming Liu 002; Zhu Zeng (Inf. Sci., 2020)

Online reliable semi-supervised learning on evolving data streams. - Salah Ud Din; Junming Shao; Jay Kumar; Waqar Ali 001; Jiaming Liu 002; Yu Ye (Inf. Sci., 2020)

Open-world Semi-supervised Novel Class Discovery. - Jiaming Liu 002; Yangqiming Wang; Tongze Zhang; Yulu Fan; Qinli Yang; Junming Shao (IJCAI, 2023)

Learning multiple gaussian prototypes for open-set recognition. - Jiaming Liu 002; Jun Tian; Wei Han 009; Zhili Qin; Yulu Fan; Junming Shao (Inf. Sci., 2023)

Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning. - Jiaming Liu 002; Hongyuan Liu 006; Zhili Qin; Wei Han 009; Yulu Fan; Qinli Yang; Junming Shao (CoRR, 2024)

Rethinking few-shot class-incremental learning: A lazy learning baseline. - Zhili Qin; Wei Han 009; Jiaming Liu 002; Rui Zhang 070; Qingli Yang; Zejun Sun; Junming Shao (Expert Syst. Appl., 2024)

Synchronization-Inspired Interpretable Neural Networks. - Wei Han 009; Zhili Qin; Jiaming Liu 002; Christian Böhm 001; Junming Shao (IEEE Trans. Neural Networks Learn. Syst., 2024)