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2020 – today
- 2022
[j3]Tingjun Chen, Jiakai Yu, Artur Minakhmetov, Craig Gutterman, Michael Sherman, Shengxiang Zhu, Steven Santaniello, Aishik Biswas, Ivan Seskar, Gil Zussman, Dan Kilper
:
A Software-Defined Programmable Testbed for Beyond 5G Optical-Wireless Experimentation at City-Scale. IEEE Netw. 36(2): 90-99 (2022)- 2021
- [j2]Jiakai Yu, Shengxiang Zhu, Craig L. Gutterman, Gil Zussman, Daniel C. Kilper:
Machine-learning-based EDFA gain estimation [Invited]. JOCN 13(4): B83-B91 (2021) - 2020
- [b1]Shengxiang Zhu:
Machine Learning Enhanced Quality of Transmission Estimation in Disaggregated Optical Systems. University of Arizona, Tucson, USA, 2020 - [c11]Ginni Khanna, Shengxiang Zhu, Mark Filer, Christos Gkantsidis, Francesca Parmigiani, Thomas Karagiannis:
Towards All Optical DCI Networks. OFC 2020: 1-3 - [c10]Jiakai Yu, Craig Gutterman, Artur Minakhmetov, Michael Sherman, Tingjun Chen, Shengxiang Zhu, Gil Zussman, Ivan Seskar, Daniel C. Kilper:
Dual Use SDN Controller for Management and Experimentation in a Field Deployed Testbed. OFC 2020: 1-3 - [c9]Jiakai Yu, Shengxiang Zhu, Daniel C. Kilper:
Evolution to Mesh 5G X-Haul Networks. OFC 2020: 1-3 - [c8]Shengxiang Zhu, Craig Gutterman, Alan A. Diaz-Montiel, Jiakai Yu, Marco Ruffini, Gil Zussman, Daniel C. Kilper:
Hybrid Machine Learning EDFA Model. OFC 2020: 1-3
2010 – 2019
- 2019
- [c7]Craig Gutterman, Gil Zussman, Artur Minakhmetov, Jiakai Yu, Michael Sherman, Tingjun Chen, Shengxiang Zhu, Ivan Seskar, Dipankar Raychaudhuri, Daniel C. Kilper:
Programmable Optical x-Haul Network in the COSMOS Testbed. ICNP 2019: 1-2 - [c6]Jiakai Yu, Tingjun Chen, Craig Gutterman, Shengxiang Zhu, Gil Zussman, Ivan Seskar, Daniel C. Kilper:
COSMOS: Optical Architecture and Prototyping. OFC 2019: 1-3 - 2018
- [j1]Weiyang Mo, Craig L. Gutterman, Yao Li, Shengxiang Zhu, Gil Zussman, Daniel C. Kilper:
Deep-Neural-Network-Based Wavelength Selection and Switching in ROADM Systems. JOCN 10(10): D1-D11 (2018) - [c5]Shengxiang Zhu, Craig L. Gutterman, Weiyang Mo, Yao Li, Gil Zussman, Daniel C. Kilper:
Machine Learning Based Prediction of Erbium-Doped Fiber WDM Line Amplifier Gain Spectra. ECOC 2018: 1-3 - [c4]Yao Li, Mingwei Yang, Weiyang Mo, Shengxiang Zhu, Zhen Qu, Ivan B. Djordjevic, Daniel C. Kilper:
Hysteresis-based Margin Allocation for Adaptive Coding in SDN-enabled Optical Networks. OFC 2018: 1-3 - 2017
- [c3]Yao Li, Weiyang Mo, Shengxiang Zhu, Yiwen Shen, Jiakai Yu, Payman Samadi, Keren Bergman, Daniel C. Kilper:
Transparent software-defined exchange (tSDX) with real-time OSNR-based impairment-aware wavelength path provisioning across multi-domain optical networks. OFC 2017: 1-3 - [c2]Shengxiang Zhu, Weiyang Mo, Daniel C. Kilper, Aravind P. Anthur, Liam P. Barry:
Dual laser switching for dynamic wavelength operation in amplified optical transmission. OFC 2017: 1-3 - [c1]Craig L. Gutterman, Weiyang Mo, Shengxiang Zhu, Yao Li, Daniel C. Kilper, Gil Zussman:
Neural Network Based Wavelength Assignment in Optical Switching. Big-DAMA@SIGCOMM 2017: 37-42
Coauthor Index
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