Public Health Surveillance with Incomplete Data - Spatio-Temporal Imputation for Inferring Infectious Disease Dynamics. - Qi Tan 002; Jiming Liu 001; Benyun Shi; Yang Liu 007; Xiao-Nong Zhou (ICHI, 2018)

Mesoscale Anisotropically-Connected Learning. - Qi Tan 002; Yang Liu 007; Jiming Liu 001 (ISMIS, 2020)

Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework. - Qi Tan 002; Yang Liu 007; Jiming Liu 001 (CoRR, 2020)

Motif-aware diffusion network inference. - Qi Tan 002; Yang Liu 007; Jiming Liu 001 (Int. J. Data Sci. Anal., 2020)

Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data. - Qi Tan 002; Yang Liu 007; Jiming Liu 001; Benyun Shi; Shang Xia; Xiao-Nong Zhou (Neurocomputing, 2021)

Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework. - Qi Tan 002; Yang Liu 007; Jiming Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Numerical Weather Prediction of Sea Surface Temperature in South China Sea Using Attention-Based Context Fusion Network. - Hailun He; Benyun Shi; Yuting Zhu; Liu Feng; Conghui Ge; Qi Tan 002; Yue Peng; Yang Liu 007; Zheng Ling; Shuang Li (Remote. Sens., 2024)

Sea Surface Temperature Prediction Using ConvLSTM-Based Model with Deformable Attention. - Benyun Shi; Conghui Ge; Hongwang Lin; Yanpeng Xu; Qi Tan 002; Yue Peng; Hailun He (Remote. Sens., 2024)

Mutually Adaptable Learning. - Qi Tan 002; Yang Liu 007; Jiming Liu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)