Wujun Xie

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 8

Top Topics

Extreme Learning Machine

Top Venues

IEEE Trans. Ind. Electron.

Publications

Yu Wang, Wujun Xie, Haochang Chen, David Day-Uei Li
Low-Hardware Consumption, Resolution-Configurable Gray Code Oscillator Time-to-Digital Converters Implemented in 16 nm, 20 nm, and 28 nm FPGAs. IEEE Trans. Ind. Electron. 70 (4) (2023)
Yu Wang, Wujun Xie, Haochang Chen, David Day-Uei Li
Multichannel Time-to-Digital Converters With Automatic Calibration in Xilinx Zynq-7000 FPGA Devices. IEEE Trans. Ind. Electron. 69 (9) (2022)
Zhenya Zang, Dong Xiao, Quan Wang, Zinuo Li, Wujun Xie, Yu Chen, David Day-Uei Li
Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine. Sensors 22 (10) (2022)
Zhenya Zang, Dong Xiao, Quan Wang, Zinuo Li, Wujun Xie, Yu Chen, David Day-Uei Li
Fast fluorescence lifetime imaging analysis via extreme learning machine. CoRR (2022)
Yu Wang, Wujun Xie, Haochang Chen, David Day-Uei Li
Low hardware consumption, resolution-configurable Gray code oscillator time-to-digital converters implemented in 16nm, 20nm and 28nm FPGAs. CoRR (2022)
Wujun Xie, Yu Wang, Haochang Chen, David Day-Uei Li
128-Channel High-Linearity Resolution-Adjustable Time-to-Digital Converters for LiDAR Applications: Software Predictions and Hardware Implementations. IEEE Trans. Ind. Electron. 69 (4) (2022)
Wujun Xie, Haochang Chen, David Day-Uei Li
Efficient Time-to-Digital Converters in 20 nm FPGAs With Wave Union Methods. IEEE Trans. Ind. Electron. 69 (1) (2022)
Wujun Xie, Haochang Chen, Zhenya Zang, David Day-Uei Li
Multi-channel high-linearity time-to-digital converters in 20 nm and 28 nm FPGAs for LiDAR applications. EBCCSP (2020)