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Disambiguation of "Wang, Yuanfei"

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Adaptive Maximum Power Point Tracking With Model-Based Negative Feedback Control and Improved V-f Model.

, , , , and . IEEE Trans. Circuits Syst. II Express Briefs, 68 (9): 3103-3107 (2021)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yuanfei Shi

Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylation. Uni Marburg, (2009)

Paul Wang

Lien Wang

 

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Fast Peer Adaptation with Context-aware Exploration., , , , and . ICML, OpenReview.net, (2024)A Neural Network Assistance AMPPT Solar Energy Harvesting System With 89.39% Efficiency and 0.01-0.5% Tracking Errors., , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 67-I (9): 2960-2971 (2020)Agent-Based Cluster Analysis of Tropical Cyclone Tracks in the Western North Pacific., and . ADMI, volume 7103 of Lecture Notes in Computer Science, page 98-113. Springer, (2011)A 1.58-nA CEPE-Based Hill-Climbing MPPT Technique with Compensated Ton Achieving 67.3% Efficiency at 10-nA Lload and > 97% MPPT Efficiency at VCR from 2 to 6., , , , , , and . CICC, page 1-2. IEEE, (2024)Joint Open Knowledge Base Canonicalization and Linking., , , , , and . SIGMOD Conference, page 2253-2261. ACM, (2021)A Continuously Scalable-Conversion-Ratio SC Converter with Reconfigurable VCF Step for High Efficiency over an Extended VCR Range., , , and . ISSCC, page 450-451. IEEE, (2023)31.6 A SIDO/DISO VCF-Step-Reconfigurable Continuously Scalable-Conversion-Ratio SC Converter Achieving 91.4%/92.6% Peak Efficiency and Almost-lossless Channel Switching., , , and . ISSCC, page 506-508. IEEE, (2024)UWB, Multi-sensors and Wifi-Mesh based precision positioning for urban rail traffic., , and . UPINLBS, page 1-8. IEEE, (2010)ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind., , , and . ICLR, OpenReview.net, (2022)A New Design Method for Solar Energy Harvesting System Based on Neural Network., , , , , , and . ISCAS, page 1-4. IEEE, (2019)