Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. - Shide Du; Zihan Fang; Shiyang Lan; Yanchao Tan; Manuel Günther; Shiping Wang; Wenzhong Guo (ACM Multimedia, 2023)

Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. - Zihan Fang; Shide Du; Zhiling Cai; Shiyang Lan; Chunming Wu; Yanchao Tan; Shiping Wang (IEEE Trans. Multim., 2024)

IMPRL-Net: interpretable multi-view proximity representation learning network. - Shiyang Lan; Zihan Fang; Shide Du; Zhiling Cai; Shiping Wang (Neural Comput. Appl., 2024)

SCHG: Spectral Clustering-guided Hypergraph Neural Networks for Multi-view Semi-supervised Learning. - Yuze Wu; Shiyang Lan; Zhiling Cai; Mingjian Fu 001; Jinbo Li; Shiping Wang (Expert Syst. Appl., 2025)

Optimization-oriented multi-view representation learning in implicit bi-topological spaces. - Shiyang Lan; Shide Du; Zihan Fang; Zhiling Cai; Wei Huang; Shiping Wang (Inf. Sci., 2025)

Multi-view Representation Learning with Decoupled private and shared Propagation. - Xuzheng Wang; Shiyang Lan; Zhihao Wu 003; Wenzhong Guo; Shiping Wang (Knowl. Based Syst., 2025)

Scalable multi-modal representation learning networks. - Zihan Fang; Ying Zou 024; Shiyang Lan; Shide Du; Yanchao Tan; Shiping Wang (Artif. Intell. Rev., 2025)