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Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning.

, , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (12): 2986-2998 (2018)

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Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems., , , , , , , and . EURASIP J. Wirel. Commun. Netw., (2018)S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits., , and . ASP-DAC, page 268-273. ACM, (2019)Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey., , , and . Integr., (2017)LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks., , , and . DAC, page 107. ACM, (2019)Efficient programming of reconfigurable radio frequency (RF) systems., , , , , , , and . ICCAD, page 772-779. IEEE, (2017)Efficient analog circuit optimization using sparse regression and error margining., , , , and . ISQED, page 410-415. IEEE, (2016)Identifying systematic spatial failure patterns through wafer clustering., , and . ISCAS, page 910-913. IEEE, (2016)Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (12): 2986-2998 (2018)Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks., , , , , , and . IEEE Access, (2020)DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit., , , , and . ASP-DAC, page 300-306. IEEE, (2022)