A Novel FPGA-Based Circuit Simulator for Accelerating Reinforcement Learning-Based Design of Power Converters. - Zhenyu Xu; Miaoxiang Yu; Jillian Cai; Qing Yang 001; Yeonho Jeong; Tao Wei 001 (ASAP, 2023)

A Heterogeneous Computer Architecture Accelerating Reinforcement Learning-based Design for Silicon Photonic Devices. - Miaoxiang Yu; Zhenyu Xu; Jillian Cai; Qing Yang 001; Tao Wei 001 (ASAP, 2023)

A Finite-Difference Time-Domain (FDTD) solver with linearly scalable performance in an FPGA cluster. - Zhenyu Xu; Miaoxiang Yu; Jillian Cai; Qing Yang 001; Tao Wei 001 (CLUSTER, 2023)

A Novel FPGA Simulator Accelerating Reinforcement Learning-Based Design of Power Converters. - Zhenyu Xu; Miaoxiang Yu; Qing Yang 001; Yeonho Jeong; Tao Wei 001 (FPGA, 2023)

TwinStep Network (TwNet): a Neuron-Centric Architecture Achieving Rapid Training. - Zhenyu Xu; Miaoxiang Yu; Jillian Cai; Qing Yang 001; Tao Wei 001 (ASAP, 2024)

An FPGA-Enabled Framework for Rapid Automated Design of Photonic Integrated Circuits. - Zhenyu Xu; Miaoxiang Yu; Jillian Cai; Saddam Gafsi; Judson Douglas Ryckman; Qing Yang 001; Tao Wei 001 (FPGA, 2024)

Tile-Level Pipeline for Linear Scalable Stencil Computation on AMD AI Engines. - Zhenyu Xu; Miaoxiang Yu; Yazhe Zhang; Jillian Cai; Qing Yang 001; Tao Wei 001 (FPGA, 2025)