Precipitation Forecasting via Multi-Scale Deconstructed ConvLSTM. - Xinyu Xiao; Qiuming Kuang; Shiming Xiang; Junnan Hu; Chunhong Pan (CoRR, 2019)

CDCNN: A Model Based on Class Center Vectors and Distance Comparison for Wear Particle Recognition. - Taohong Zhang; Junnan Hu; Suli Fan; Yixuan Yu 001 (IEEE Access, 2020)

Global-Similarity Local-Salience Network for Traffic Weather Recognition. - Tingzhao Yu; Qiuming Kuang; Junnan Hu; Jiangping Zheng; Xiaoyong Li (IEEE Access, 2021)

A Partial Hierarchical Model for Online Low-Resolution Wear Particle Images Classification. - Xuxu Guo; Rui Tan; Mingyang Yang; Xinrong He; Jia Guo; Suli Fan; Junnan Hu; Taohong Zhang; Aziguli Wulamu (Comput. Intell. Neurosci., 2021)

A Feature Fusion Method with Guided Training for Classification Tasks. - Taohong Zhang; Suli Fan; Junnan Hu; Xuxu Guo; Qianqian Li; Ying Zhang; Aziguli Wulamu (Comput. Intell. Neurosci., 2021)

Deep Precipitation Downscaling. - Tingzhao Yu; Qiuming Kuang; Jiangping Zheng; Junnan Hu (IEEE Geosci. Remote. Sens. Lett., 2022)

MVNet: Multi-Variate Multi-View Brain Network Comparison Over Uncertain Data. - Lei Shi 002; Junnan Hu; Zhihao Tan; Jun Tao 002; Jiayan Ding; Yan Jin 001; Yanjun Wu; Paul M. Thompson (IEEE Trans. Vis. Comput. Graph., 2022)

FlowNL: Asking the Flow Data in Natural Languages. - Jieying Huang; Yang Xi; Junnan Hu; Jun Tao 002 (IEEE Trans. Vis. Comput. Graph., 2023)

Co-movement Pattern Mining from Videos. - Dongxiang Zhang; Teng Ma; Junnan Hu; Yijun Bei; Kian-Lee Tan; Gang Chen 001 (Proc. VLDB Endow., 2023)