Yizhuo Wu
Orcid: 0009-0009-5087-7349
According to our database1,
Yizhuo Wu
authored at least 9 papers
between 2023 and 2025.
Collaborative distances:
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Bibliography
2025
OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion.
CoRR, July, 2025
SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training.
CoRR, July, 2025
SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization.
CoRR, June, 2025
DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion.
CoRR, May, 2025
RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space Model.
CoRR, April, 2025
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm<sup>2</sup> Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
2024
MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers.
CoRR, 2024
OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
2023
Research on Railway Network Data Security Risk Assessment Method Based on Attack and Defense Resource Allocation.
Proceedings of the 2023 3rd International Conference on Big Data, 2023