Validation of remotely sensed evapotranspiration: a case study. - Zhenzhen Jia; Shaomin Liu; Ziwei Xu 002 (IGARSS, 2010)

Estimations of Regional Surface Energy Fluxes Over Heterogeneous Oasis-Desert Surfaces in the Middle Reaches of the Heihe River During HiWATER-MUSOEXE. - Yanfei Ma; Shaomin Liu; Fen Zhang; Ji Zhou 001; Zhenzhen Jia; Lisheng Song (IEEE Geosci. Remote. Sens. Lett., 2015)

Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration. - Tongren Xu; Shaomin Liu; Lu Xu; Yujie Chen; Zhenzhen Jia; Ziwei Xu 002; Jeffrey Nielson (Remote. Sens., 2015)

Validation and Performance Evaluations of Methods for Estimating Land Surface Temperatures from ASTER Data in the Middle Reach of the Heihe River Basin, Northwest China. - Ji Zhou 001; Mingsong Li; Shaomin Liu; Zhenzhen Jia; Yanfei Ma (Remote. Sens., 2015)

Management of a Hub-Spoken Optical Transmission Network with the Point to Multi Point (P2MP) Topology. - Wen He; Zhenzhen Jia; Chao Xiang Shi; Jian Xin Chang; Meng Gao (ChinaCom (1), 2016)

Design and Implementation of Link Loss Forwarding in 100G Optical Transmission System. - Zhenzhen Jia; Wen He; Chao Xiang Shi; Jian Xin Chang; Meng Gao (ChinaCom (1), 2016)

Integrated Validation of Coarse Remotely Sensed Evapotranspiration Products over Heterogeneous Land Surfaces. - Yuan Zhang; Shaomin Liu; Lisheng Song; Xiang Li 087; Zhenzhen Jia; Tongren Xu; Ziwei Xu 002; Yanfei Ma; Ji Zhou 001; Xiaofan Yang; Xinlei He 004; Yunjun Yao; et al. (Remote. Sens., 2022)

Generative Input: Towards Next-Generation Input Methods Paradigm. - Keyu Ding; Yongcan Wang; Zihang Xu; Zhenzhen Jia; Shijin Wang 001; Cong Liu 006; Enhong Chen (CoRR, 2023)

Generative Input: Towards Next-Generation Input Methods Paradigm. - Keyu Ding; Yongcan Wang; Zihang Xu; Zhenzhen Jia; Enhong Chen (ACL (Findings), 2024)

Correlated Queues with Inter-Arrival Times Depending on Service Times. - Zhenzhen Jia; Weimin Dai; Jian-Qiang Hu (Asia Pac. J. Oper. Res., 2024)

Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences. - Xiaofeng Yuan; Zhenzhen Jia; Zijian Xu 011; Nuo Xu; Lingjian Ye; Kai Wang 024; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Neural Networks Learn. Syst., 2025)