- EncodingNet: A Novel Encoding-Based MAC Design for Efficient Neural Network Acceleration. IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI) 1 (2), 2024, 164-177 more… BibTeX Full text ( DOI )
- Hardware-efficient Duobinary Neural Network Equalizers for 800Gb/s IM/DD PAM4 Transmission over 10km SSMF. IEEE/OSA Journal of Lightwave Technology (JLT) 41 (12), 2023, 3783-3790 more… BibTeX Full text ( DOI )
- Towards Neural Network Equalizer Implementations for IM/DD Transceivers. OptoElectronics and Communications Conference (OECC), 2023 more… BibTeX
- Area-Efficient Neural Network CD Equalizer for 4x200Gb/s PAM4 CWDM4 Systems. Optical Fiber Communication Conference (OFC), 2023 more… BibTeX
- Area-Efficient Hardware Parallelization of Neural Network CD Equalizers for 4×200 Gb/s PAM4 CWDM4 Systems. European Conference on Optical Communication (ECOC), 2023 more… BibTeX
- 800Gb/s PAM4 Transmission Over 10km SSMF Enabled by Low-Complex Duobinary Neural Network Equalization. European Conference on Optical Communication (ECOC), 2022 more… BibTeX
Bo Liu
Technical University of Munich
Chair of Electronic Design Automation (Prof. Schlichtmann)
Postal address
Arcisstr. 21
80333 München
- Phone:
- Room: 0509.03.906
- Homepage
- bo.liu@tum.de