A Low Complexity Model-Driven Deep Learning LDPC Decoding Algorithm. - Qingle Wu; Su-Kit Tang; Yuanhui Liang; Chan-Tong Lam; Yan Ma (ICCCS, 2021)

A Low-Complexity Neural Normalized Min-Sum LDPC Decoding Algorithm Using Tensor-Train Decomposition. - Yuanhui Liang; Chan-Tong Lam; Benjamin K. Ng (IEEE Commun. Lett., 2022)

Joint-Way Compression for LDPC Neural Decoding Algorithm With Tensor-Ring Decomposition. - Yuanhui Liang; Chan-Tong Lam; Benjamin K. Ng (IEEE Access, 2023)

Hypernetwork Based Model-Driven Channel Neural Decoding. - Yuanhui Liang; Chan-Tong Lam; Qingle Wu; Benjamin K. Ng; Sio Kei Im (IEEE Access, 2024)

Low-Complexity Data-Driven Communication Neural Receivers. - Qingle Wu; Yuanhui Liang; Benjamin K. Ng; Chan-Tong Lam; Yan Ma (IEEE Access, 2025)

TRHyper: Low-Complexity Hypernetwork for Channel Neural Decoding With Learning Weights in Tensor Ring Format. - Yuanhui Liang; Chan-Tong Lam; Qingle Wu; Benjamin K. Ng; Sio Kei Im (IEEE Commun. Lett., 2025)

Low-Complexity Neural Belief Propagation Decoding Algorithm Based on Tensor Ring Decomposition. - Yuanhui Liang; Chan-Tong Lam; Qingle Wu; Benjamin K. Ng; Sio Kei Im (IEEE Trans. Cogn. Commun. Netw., 2025)

MVJSCC: Adaptive Lightweight DeepJSCC for Semantic Image Transmission. - Man Xu; Chan-Tong Lam; Yuanhui Liang; Ting Qiu; Benjamin K. Ng; Sio Kei Im (IEEE Wirel. Commun. Lett., 2025)