Unified framework for learning with label distribution. - Xinyuan Liu 001; Jihua Zhu; Zhongyu Li 002; Zhiqiang Tian; Xiuyi Jia; Lei Chen 011 (Inf. Fusion, 2021)

Bidirectional loss function for Label Enhancement and distribution learning. - Xinyuan Liu 001; Jihua Zhu; Qinghai Zheng; Zhongyu Li 002; Ruixin Liu; Jun Wang 024 (Knowl. Based Syst., 2021)

Semi-Supervised Label Distribution Learning with Co-regularization. - Xinyuan Liu 001; Jihua Zhu; Qinghai Zheng; Zhiqiang Tian; Zhongyu Li 002 (Neurocomputing, 2022)

Contrastive Label Enhancement. - Yifei Wang; Yiyang Zhou; Jihua Zhu; Xinyuan Liu 001; Wenbiao Yan; Zhiqiang Tian (IJCAI, 2023)

Generalized Label Enhancement With Sample Correlations. - Qinghai Zheng; Jihua Zhu; Haoyu Tang; Xinyuan Liu 001; Zhongyu Li 002; Huimin Lu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-dimensional classification via class space fusion and comprehensive label correlations. - Xinyuan Liu 001; Jihua Zhu; Zhiqiang Tian; Zhongyu Li 002 (Inf. Fusion, 2024)

CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition. - Ruotong Hu; Xianzhi Wang 001; Xiaojun Chang; Yongle Zhang; Yeqi Hu; Xinyuan Liu 001; Shusong Yu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Causal Label Enhancement. - Xinyuan Liu 001; Jihua Zhu; Qinghai Zheng; Zhongyu Li 002; Zhiqiang Tian; Mingchen Zhu (IEEE Trans. Knowl. Data Eng., 2025)