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NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning., , , , and . IJCNN, page 1180-1186. IEEE, (2016)Partial Approximate Controllability for Linear Stochastic Control Systems., and . SIAM J. Control and Optimization, 57 (2): 1209-1229 (2019)Time-Inconsistent Linear Quadratic Optimal Control Problems for Stochastic Evolution Equations., and . SIAM J. Control and Optimization, 58 (1): 485-509 (2020)BigDL: A Distributed Deep Learning Framework for Big Data., , , , , , , , , and 10 other author(s). SoCC, page 50-60. ACM, (2019)Changes in Land Use and Ecosystem Service Values of Dunhuang Oasis from 1990 to 2030., , , , , , and . Remote. Sens., 15 (3): 564 (February 2023)Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development., , , and . Int. J. Prod. Res., 55 (23): 7187-7203 (2017)CANet: Co-attention network for RGB-D semantic segmentation., , , , , and . Pattern Recognit., (2022)JLHS: A Joint Linear Frequency Modulation and Hyperbolic Frequency Modulation Approach for Speed Measurement., , , , , , , and . IEEE Access, (2020)On-path caching based on content relevance in Information-Centric Networking., , , , , and . Comput. Commun., (2021)ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation., , , , and . IEEE Robotics Autom. Lett., 7 (1): 57-64 (2022)