FPIRM: Floating-point Processing in Racetrack Memories. - Sébastien Ollivier; Xinyi Zhang 001; Yue Tang 002; Chayanika Choudhuri; Jingtong Hu; Alex K. Jones (CoRR, 2022)

Sustainable AI Processing at the Edge. - Sébastien Ollivier; Sheng Li 019; Yue Tang 002; Chayanika Chaudhuri; Peipei Zhou 001; Xulong Tang; Jingtong Hu; Alex K. Jones (CoRR, 2022)

Pod-racing: bulk-bitwise to floating-point compute in racetrack memory for machine learning at the edge. - Sébastien Ollivier; Xinyi Zhang 001; Yue Tang 002; Chayanika Choudhuri; Jingtong Hu; Alex K. Jones (IEEE Micro, 2022)

Enabling Weakly Supervised Temporal Action Localization From On-Device Learning of the Video Stream. - Yue Tang 002; Yawen Wu; Peipei Zhou 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization. - Yue Tang 002; Xinyi Zhang 001; Peipei Zhou 001; Jingtong Hu (ACM Trans. Design Autom. Electr. Syst., 2022)

REFRESH FPGAs: Sustainable FPGA Chiplet Architectures. - Peipei Zhou 001; Jinming Zhuang; Stephen Cahoon; Yue Tang 002; Zhuoping Yang; Xingzhen Chen; Yiyu Shi 001; Jingtong Hu; Alex K. Jones (IGSC, 2023)

Sustainable AI Processing at the Edge. - Sébastien Ollivier; Sheng Li 019; Yue Tang 002; Stephen Cahoon; Ryan Caginalp; Chayanika Chaudhuri; Peipei Zhou 001; Xulong Tang; Jingtong Hu; Alex K. Jones (IEEE Micro, 2023)

CHEF: A Framework for Deploying Heterogeneous Models on Clusters With Heterogeneous FPGAs. - Yue Tang 002; Yukai Song; Naveena Elango; Sheena Ratnam Priya; Alex K. Jones; Jinjun Xiong; Peipei Zhou 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

MTrain: Enable Efficient CNN Training on Heterogeneous FPGA-Based Edge Servers. - Yue Tang 002; Alex K. Jones; Jinjun Xiong; Peipei Zhou 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)