A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation. - Jiamei Feng; Mengchi Liu; Song Hong; Shihao Song (ADMA (1), 2023)

Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction. - Jiamei Feng; Mengchi Liu; Tingkun Nie; Caixia Zhou (KSEM (1), 2023)

ALCR: Adaptive loss based critic ranking toward variational autoencoders with multinomial likelihood and condition for collaborative filtering. - Jiamei Feng; Mengchi Liu; Xiang Liang; Tingkun Nie (Knowl. Based Syst., 2023)

Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning. - Jiaye Sun; Shijun Shao; Hua Wan; Xueqing Wu 005; Jiamei Feng; Qingqian Gao; Wenchao Qu; Lu Xie (BMC Medical Informatics Decis. Mak., 2024)

A three-stage adaptive memetic algorithm for multi-objective optimization of flexible assembly job-shop scheduling problem. - Chenlu Zhang; Jiamei Feng; Mingchuan Zhang; Lei Yang; Lei Zhang; Lin Wang; Junlong Zhu; Qingtao Wu (Eng. Appl. Artif. Intell., 2025)

A flexible job shop scheduling method based on heterogeneous disjunctive graph and deep reinforcement learning. - Xuhui Zhao; Haokai Qu; Mingchuan Zhang; Jiamei Feng; Lin Wang; Qingtao Wu (Eng. Appl. Artif. Intell., 2025)

ZO-APFPG: a provably zeroth-order adaptive personalized federated policy gradient algorithm for reinforcement learning with environment heterogeneity. - Jiamei Feng; Gaofeng Chen; Meiyi Yang; Huimin Gao; Xuhui Zhao; Ruijuan Zheng; Qingtao Wu (Expert Syst. Appl., 2025)

Provable causal distributed two-time-scale temporal-difference learning with instrumental variables. - Yanan Ma; Jiamei Feng; Qingtao Wu; Ruijuan Zheng; Junlong Zhu; Jiangtao Xi; Mingchuan Zhang (Expert Syst. Appl., 2025)