Publications
The publications are also listed on my Google Scholar.
2025
Z. Wang, A. Raj, Y.-K. Huang, E. Ip, G. Borraccini, A. D’Amico, S. Han, Z. Qi, G. Zussman, K. Asahi, H. Kageshima, Y. Aono, T. Wang, M. Ruffini, D. Kilper, and T. Chen, “Toward intelligent and efficient optical networks: performance modeling, co-existence, and field trials,” in Proc. IEEE OptoElectronics and Communications Conference (OECC’25), 2025.
Invited Paper to OECC'25 Z. Wang, G. Borraccini, A. D’Amico, Y.-K. Huang, T. Wang, D. Kilper, K. Asahi, and T. Chen, “Multi-span OSNR and GSNR prediction using cascaded learning,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’25), 2025.
Z. Wang, A. Raj, G. Borraccini, S. Han, Y.-K. Huang, T. Wang, M. Ruffini, D. Kilper, and T. Chen, “Scalable machine learning models for optical transmission system management,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’25), 2025.
Invited Paper to OFC'25 S. Xie, R. Raj, B. Briantcev, Z. Wang, T. Chen, and D. Kilper, “WDM system stimulated Raman scattering spectrum and tilt prediction using CNN-based transfer learning,” in Proc. IEEE International Conference on Optical Network Design and Modelling (ONDM’25), 2025.
Z. Wang, Y.-K. Huang, S. Han, D. Kilper, and T. Chen, “Multi-span optical power spectrum prediction using cascaded learning with one-shot end-to-end measurement,” IEEE/Optica Journal of Optical Communications and Networking (JOCN), vol. 17, no. 1, pp. A23-33, 2025.
Invited Paper to the Special Issue on Top-Scored Papers from IEEE/Optica OFC’24
2024
R. Raj, S. Xie, Z. Wang, T. Chen, and D. Kilper, “Raman tilt prediction for digital twin modeling of ROADM-based transmission systems,” in Proc. IEEE Future Networks World Forum (FNWF’24), 2024.
A. Raj, Z. Wang, F. Slyne, T. Chen, D. Kilper and M. Ruffini, “Multi-span optical power spectrum evolution modeling using ML-based multi-decoder attention framework,” in Proc. European Conference on Optical Communication (ECOC’24).
A. Raj, Z. Wang, F. Slyne, T. Chen, D. Kilper and M. Ruffini, “Interference identification in multi-user optical spectrum as a service using convolutional neural networks,” in Proc. European Conference on Optical Communication (ECOC’24).
Z. Wang, Y.-K. Huang, S. Han, T. Wang, D. Kilper, and T. Chen, “Multi-span optical power spectrum prediction using ML-based EDFA models and cascaded learning,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’24), 2024. *
Top-scored Paper and OFC’24 Corning Outstanding Student Paper Finalist * T. Sasai, G. Borraccini, Y.-K. Huang, H. Nishizawa, Z. Wang, T. Chen, Y. Sone, T. Matsumura, M. Nakamura, E. Yamazaki, Y. Kisaka, “4D optical link tomography: first field demonstration of autonomous transponder capable of distance, time, frequency, and polarization resolved monitoring,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’24), 2024. *
Postdeadline Paper * T. Mano, Y.-K. Huang, G. Borraccini, E. Ip, A. D’Amico, Z. Wang, H. Nishizawa, G. Zussman, T. Chen, T. Wang, K. Asahi, D. Kilper, V. Curri, and K. Takasugi, “Modeling the input power dependency in transceiver BER-ONSR for QoT estimation,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’24), 2024.
E. Ip, Y.-K. Huang, G. Borraccini, T. Mano, T. Matsumura, H. Nishizawa, A. D’Amico, V. Curri, D. Kilper, Z. Wang, G. Zussman, T. Chen, and K. Asahi, “Inline fiber type identification using in-service Brillouin optical time domain analysis,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’24), 2024.
H. Nishizawa, T. Mano, T. Ferreira de Lima, Y.-K. Huang, Z. Wang, W. Ishida, M. Kawashima, E. Ip, A. D’Amico, S. Okamoto, T. Inoue, K. Anazawa, V. Curri, G. Zussman, D. Kilper, T. Chen, T. Wang, K. Asahi, and K. Takasugi, “Fast WDM provisioning with minimal probing: the first field experiments for DC exchanges,” IEEE/Optica Journal of Optical Communications and Networking (JOCN), Vol. 16, Issue 2, pp. 233-242, 2024.
2023
R. Raj, S. Xie, Z. Wang, T. Chen, and D. Kilper “Digital twin modeling of cascaded amplifiers in the COSMOS testbed,” in Proc. IEEE International Conference on Advanced Networks and Telecommunications Systems Workshop on Standards Driven Research (ANTS’23), 2023.
Z. Wang, Y. -K. Huang, E. Ip, Z. Qi, G. Zussman, D. Kilper, K. Asahi, H. Kageshima, Y. Aono, and T. Chen, “Field trial of coexistence and simultaneous switching of real-time fiber sensing and coherent 400 GbE in a dense urban environment,” IEEE/Optica Journal of Lightwave Technology (JLT), pp. 1-9, 2023.
Invited Paper to the Special Issue on Top-Scored Papers from IEEE/Optica OFC’23 T. Mano, T. Ferreira de Lima, Y.-K. Huang, Z. Wang, W. Ishida, E. Ip, A. D’Amico, S. Okamoto, T. Inoue, H. Nishizawa, V. Curri, G. Zussman, D. Kilper, T. Chen, T. Wang, K. Asahi, and K. Takasugi, “First field demonstration of automatic WDM optical path provisioning over alien access links for data center exchange,” in Proc. European Conference on Optical Communication (ECOC’23), Paper Tu.B.5.2, 2023.
Highest Scored Paper A. Raj, Z. Wang, F. Slyne, T. Chen, D. Kilper, and M. Ruffini, “Self-normalizing neural network, enabling one shot transfer learning for modeling EDFA wavelength dependent gain,” in Proc. European Conference on Optical Communication (ECOC’23), Paper Tu.C.5.6, 2023.
R. Raj, S. Xie, Z. Wang, T. Chen, and D. Kilper, “Machine learning-based Raman tilt prediction in a ROADM transmission system,” in Proc. European Conference on Optical Communication (ECOC’23), Paper P98, 2023.
Z. Wang, D. Kilper, and T. Chen, “Open EDFA gain spectrum dataset and its applications in data-driven EDFA gain modeling,” IEEE/Optica Journal of Optical Communications and Networking (JOCN), vol. 15, no. 9, pp. 588-599, 2023.
Z. Wang, D. Kilper, and T. Chen, “Transfer learning-based roadm EDFA wavelength dependent gain prediction using minimized data collection,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’23), Th2A.1, 2023.
Y. K. Huang, Z. Wang, E. Ip, Z. Qi, G. Zussman, D. Kilper, K. Asahi, H. Kageshima, Y. Aono, and T. Chen, “Field trial of coexistence and simultaneous switching of real-time fiber sensing and 400 GbE supporting DCI and 5G mobile services,” in Proc. IEEE/Optica Optical Fiber Communication Conference (OFC’23), W3H.4, 2023.
Top-scored paper E. Akinrintoyo, Z. Wang, B. Lantz, T. Chen, and D. Kilper, “Reconfigurable topology testbeds: A new approach to optical system experiments,” Optical Fiber Technology, Special Issue on Novel Optical Networking Architectures and Open Interfaces for 5G and Future 6G Networks (OFT) (invited), vol. 76, pp. 103243, 2023.
2022
- Z. Wang, E. Akinrintoyo, D. Kilper, and T. Chen, “Optical signal spectrum prediction using machine learning and in-line channel monitors in a multi-span ROADM system,” in Proc. IEEE/Optica European Conference and Exhibition on Optical Communication (ECOC’22), pp. We3B-5, 2022.
2020
- E. Soltanaghaei, R. Sharma, Z. Wang, A. Chittilappilly, A. Luong, E. Giler, K. Hall, S. Elias, and A. Rowe, “Robust and practical WiFi human sensing using on-device learning with a domain adaptive model,” in Proc. ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys’20), pp. 150-159, 2020.
2019
Z. Wang, D. Liao, T. Zhang, T. Chen, Y. Ruan, and B. Zheng, “Metasurface-based focus-tunable mirror,” OSA Optics Express, vol. 27, no. 21, pp. 30332-30339, 2019.
H. Wang, W. Gao, R. Zhu, Z. Wang, Z. Xu, and B. Zheng, “Ultrathin acoustic metasurface holograms with arbitrary phase control,” MDPI Applied Sciences, vol. 9, no. 17, pp 3585, 2019.
2018
L. Guo, B. Zheng, K. Zheng, M. Musa, S. Gao, Z. Wang, S. Deshdashti, H. Chen, and Y. Yang, “Launching phase-controlled surface plasmons on babinet metasurfaces,” OSA Optics Letters, vol. 43, no. 14, pp 3253-3256, 2018.
L. Guo, Z. Wang, L. Shen, M. Renuka, B. Zheng, H. Chen, and H. Wang, “Metasurface holograms with arbitrary phase control of electromagnetic wavefront,” in Proc. IEEE International Conference on Computational Electromagnetics (ICCEM’18), pp. 1-2, 2018.