On the Convergence of Non-Convex Phase Retrieval With Denoising Priors. - Duoduo Xue; Ziyang Zheng; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Process., 2022)

Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks. - Ziyang Zheng; Wenrui Dai; Duoduo Xue; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks. - Wenqiang Xu; Wenrui Dai; Duoduo Xue; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2024)

Point Cloud Resampling With Learnable Heat Diffusion. - Wenqiang Xu; Wenrui Dai; Duoduo Xue; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (ICASSP, 2025)

Fourier Phase Retrieval With Diffusion Priors Guided by Failure Detection. - Duoduo Xue; Wenrui Dai; Ziyang Zheng; Xinyu Peng; Junni Zou; Hongkai Xiong (ISCAS, 2025)

Generalized Quantum State Tomography With Hybrid Denoising Priors. - Duoduo Xue; Wenrui Dai; Ziyang Zheng; Chenglin Li; Junni Zou; Hongkai Xiong (IEEE Trans. Signal Process., 2025)