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[1] Accommodating Strategic Players in Distributed Algorithms for Power Dispatch Problems IEEE Transactions on Cybernetics , 2022,
[2] RL-DARTS: Differentiable neural architecture search via reinforcement-learning-based meta-optimizer Knowledge-Based Systems, 2021,
[3] Soft matching network with application to defect inspection Knowledge-Based Systems, 2021,
[4] Detecting slender objects with uncertainty based on keypoint-displacement representation Neural Networks, 2021,
[5] Digital Twin Enhanced Assembly Based on Deep Reinforcement Learning 2021 11th International Conference on Information Science and Technology, ICIST 2021, 2021,
[6] Knowledge from the original network: restore a better pruned network with knowledge distillation COMPLEX & INTELLIGENT SYSTEMS, 2022,
[7] 基于小样本学习的钢板表面缺陷检测技术 航空科学技术, 2021,
[8] A Distributed Optimization Algorithm Based on Multiagent Network for Economic Dispatch with Region Partitioning IEEE Transactions on Cybernetics, 2021,
[9] PF-Net: Point Fractal Network for 3D Point Cloud Completion IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020,
[10] Point Encoder GAN: A deep learning model for 3D point cloud inpainting Neurocomputing, 2020,
[11] A learning-based approach for surface defect detection using small image datasets Neurocomputing, 2020,
[12] A learning-based approach for surface defect detection using small image datasets NEUROCOMPUTING, 2020,
[13]lexinyi. A quantitative evaluation of comprehensive 3D local descriptors generated with spatial and geometrical features COMPUTER VISION AND IMAGE UNDERSTANDING, 2020,
[14]lexinyi. A distributed optimization algorithm based on multi-agent network for economic dispatch with region partitioning IEEE Transactions on Cybernetics, 2019,
[15]lexinyi. Distributed optimization for the multi-robot system using a neurodynamic approach Neurocomputing, 2019,
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