Multi-view learning for context-aware extractive summarization. - Zhenyu Yang 004; Jie Yang 009; Brian Yecies; Wanqing Li 001 (SSCI, 2020)

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. - Ge Zhang 002; Zhenyu Yang 004; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Peng 001; Jianlin Su; Chuan Zhou 001; Quan Z. Sheng; Leman Akoglu; Charu C. Aggarwal (NeurIPS, 2022)

Low-rank and sparse representation based learning for cancer survivability prediction. - Jie Yang 009; Jun Ma 002; Khin Than Win; Junbin Gao; Zhenyu Yang 004 (Inf. Sci., 2022)

Minimum Entropy Principle Guided Graph Neural Networks. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Hao Peng 001; Angsheng Li; Shan Xue 001; Jianlin Su (WSDM, 2023)

A Comprehensive Survey of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu C. Aggarwal; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (CoRR, 2023)

State of the Art and Potentialities of Graph-level Learning. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Shan Xue 001; Chuan Zhou 001; Charu Aggarwal 001; Hao Peng 001; Wenbin Hu 001; Edwin R. Hancock; Pietro Liò (ACM Comput. Surv., 2025)