Optical Fiber Channel Modeling Using Conditional Generative Adversarial Network. - Hang Yang; Zekun Niu; Lilin Yi; Shilin Xiao (CoRR, 2020)

Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme. - Hang Yang; Zekun Niu; Haochen Zhao; Shilin Xiao; Weisheng Hu; Lilin Yi (CoRR, 2022)

Enhancing Generalization in Neural Channel Model for Optical Fiber WDM Transmission through Learned Encoding of System Parameters. - Chuyan Zeng; Zekun Niu; Hang Yang; Minghui Shi; Weisheng Hu; Lilin Yi (OFC, 2024)

Improve the Fitting Accuracy of Deep Learning for the Nonlinear Schrödinger Equation Using Linear Feature Decoupling Method. - Yunfan Zhang; Zekun Niu; Minghui Shi; Weisheng Hu; Lilin Yi (CoRR, 2024)

Joint Pre- and Post-Learned Perturbation Nonlinearity Compensation Optimization for Long-haul Optical Fiber Transmission Based on End-to-end Deep Learning. - Lyu Li; Zekun Niu; Junzhe Xiao; Weisheng Hu; Lilin Yi (OFC, 2025)