A GNN-based predictor for quantum architecture search. - Zhimin He; Xuefen Zhang; Chuangtao Chen 002; Zhiming Huang 001; Yan Zhou; Haozhen Situ (Quantum Inf. Process., 2023)

A light-weight quantum self-attention model for classical data classification. - Hui Zhang; Qinglin Zhao; Chuangtao Chen 002 (Appl. Intell., 2024)

Quantum Generative Diffusion Model. - Chuangtao Chen 002; Qinglin Zhao (CoRR, 2024)

Gradient-based optimization for quantum architecture search. - Zhimin He; Jiachun Wei; Chuangtao Chen 002; Zhiming Huang 001; Haozhen Situ; Lvzhou Li (Neural Networks, 2024)

Quantum mixed-state self-attention network. - Fu Chen; Qinglin Zhao; Li Feng 001; Chuangtao Chen 002; Yangbin Lin; Jianhong Lin (Neural Networks, 2025)

Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning. - Chuangtao Chen 002; Qinglin Zhao; MengChu Zhou; Zhimin He; Haozhen Situ (CoRR, 2025)

Continuous-variable Quantum Diffusion Model for State Generation and Restoration. - Haitao Huang; Chuangtao Chen 002; Qinglin Zhao (CoRR, 2025)

Parameter-efficient Quantum Denoising Diffusion Probabilistic Models with temporal encoding. - Xuefen Zhang; Chuangtao Chen 002 (Future Gener. Comput. Syst., 2026)