Research on Railway Network Data Security Risk Assessment Method Based on Attack and Defense Resource Allocation. - Guangjie Zhu; Yizhuo Wu; Qi Li; Honglei Yao (ICBAR, 2023)

OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion. - Yizhuo Wu; Gagan Deep Singh; Mohammadreza Beikmirza; Leo C. N. de Vreede; Morteza S. Alavi; Chang Gao 002 (ISCAS, 2024)

MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers. - Yizhuo Wu; Ang Li; Mohammadreza Beikmirza; Gagan Deep Singh; Qinyu Chen; Leo C. N. de Vreede; Morteza S. Alavi; Chang Gao 002 (CoRR, 2024)

DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm2 Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion. - Ang Li; Haolin Wu; Yizhuo Wu; Qinyu Chen; Leo C. N. de Vreede; Chang Gao 002 (ISCAS, 2025)

RadMamba: Efficient Human Activity Recognition through Radar-based Micro-Doppler-Oriented Mamba State-Space Model. - Yizhuo Wu; Francesco Fioranelli; Chang Gao (CoRR, 2025)

DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion. - Yizhuo Wu; Yi Zhu; Kun Qian; Qinyu Chen; Anding Zhu; John R. Gajadharsing; Leo C. N. de Vreede; Chang Gao 002 (CoRR, 2025)

SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization. - Manno Versluis; Yizhuo Wu; Chang Gao (CoRR, 2025)

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training. - Mingdong Wu; Lehong Wu; Yizhuo Wu; Weiyao Huang; Hongwei Fan; Zheyuan Hu; Haoran Geng; Jinzhou Li; Jiahe Ying; Long Yang; Yuanpei Chen; Hao Dong 003 (CoRR, 2025)

OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion. - Yizhuo Wu; Ang Li; Chang Gao (CoRR, 2025)