End-to-End Learning of Secure Wireless Communications: Confidential Transmission and Authentication. - Zhuo Sun 001; Hengmiao Wu; Chenglin Zhao; Gang Yue (IEEE Wirel. Commun., 2020)

Hierarchical Local Sensitivity Analysis Method for Optimization of Deep Learning-based Anomaly Detection in Communication Network. - Gang Yue; Zhuo Sun 001; Jinpo Fan (ICCC, 2022)

AG-LRTR: An Adaptive and Generic Low-Rank Tensor-Based Recovery for IIoT Network Traffic Factors Denoising. - Gang Yue; Zhuo Sun 001; Jinpo Fan (IEEE Access, 2022)

EA-ADMM: noisy tensor PARAFAC decomposition based on element-wise average ADMM. - Gang Yue; Zhuo Sun 001 (EURASIP J. Adv. Signal Process., 2022)

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. - Fan Bao; Shen Nie; Kaiwen Xue; Chongxuan Li; Shi Pu 002; Yaole Wang; Gang Yue; Yue Cao; Hang Su 006; Jun Zhu 001 (ICML, 2023)

Adaptive Weighted Tensor Completion: A Solution to Joint Denoising and Periodic Prediction of Spectrum. - Wanyu An; Zhuo Sun 001; Gang Yue (VTC Fall, 2023)

Capacity-Driven End-to-end Superposition Coding Optimization for NOMA with Finite-alphabet Inputs. - Jinpo Fan; Zhuo Sun 001; Gang Yue; Jie Yu (WCNC, 2023)

Performance Analysis of Integrated Sensing and Communication by Non-Orthogonal Multiplexing. - Jinpo Fan; Zhuo Sun 001; Gang Yue; Shupei Sun (IEEE Commun. Lett., 2023)

Capacity-driven end-to-end learning approach for NOMA with finite-alphabet inputs. - Jinpo Fan; Zhuo Sun 001; Gang Yue; Jie Yu (Phys. Commun., 2023)

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models. - Fan Bao; Chendong Xiang; Gang Yue; Guande He; Hongzhou Zhu; Kaiwen Zheng; Min Zhao 013; Shilong Liu; Yaole Wang; Jun Zhu 001 (CoRR, 2024)

Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity. - Gang Yue; Zhuo Sun 001; Jinpo Fan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Patch-Masked Visual Inspection via Parallel Deep Tensor Factorization in Industrial Internet of Things. - Gang Yue; Zhuo Sun 001; Jinpo Fan; Di Peng (IEEE Internet Things J., 2024)