Dynamic Edge-Based Graph Attention Network and Visual-Semantic Embedding for Outfits Recommendation. - Rucong Xu; Jianfeng Wang; Yun Li (ICAC, 2022)

Cross-Intent Graph Contrastive Learning for Fashion Sequential Recommendation. - Rucong Xu; Jianfeng Wang; Yun Li (ICAC, 2023)

Graph-enhanced Knowledge Transfer Learning for Fashion Sequential Recommendation. - Rucong Xu; Ming Li; Xin Liang; Yun Li (IJCNN, 2024)

CMA-BP: A Clustered Multi-Task Learning and Branch Attention Based Branch Predictor. - Ming Li; Rucong Xu; Hexu Zhang; Lin Li; Yun Li (SMC, 2024)

GraDiNet: Implicit Self-Distillation of Graph Structural Knowledge. - Junyan Xu; Jianxing Liao; Rucong Xu; Yun Li (SMC, 2024)

Interpretable Spatial-Temporal Graph Convolutional Network for System Log Anomaly Detection. - Rucong Xu; Yun Li 002 (Adv. Eng. Informatics, 2024)

Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation. - Rucong Xu; Jianfeng Wang; Yun Li 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling. - Rucong Xu; Jianfeng Wang; Ming Li; Junyan Xu; Yun Li 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Design of an efficient fault-tolerant quantum-computing circuit with quantum neural network learning. - Chen Lin; Rucong Xu; Yun Li 002 (Eng. Appl. Artif. Intell., 2025)

AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks. - Fuhang Liang; Rucong Xu; Deng Lin (CoRR, 2025)