Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. - Zhong Zhang 004; Zhili Qin; Peiyan Li; Qinli Yang; Junming Shao (DASFAA (2), 2018)

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. - Peiyan Li; Zhili Qin; Honglian Wang; Qinli Yang; Junming Shao (ICDM, 2020)

Learning Evolving Concepts with Online Class Posterior Probability. - Junming Shao; Kai Wang; Jianyun Lu; Zhili Qin; Qiming Wangyang; Qinli Yang (DASFAA (2), 2022)

Multi-instance attention network for few-shot learning. - Zhili Qin; Han Wang; Cobbinah Bernard Mawuli; Wei Han 009; Rui Zhang 070; Qinli Yang; Junming Shao (Inf. Sci., 2022)

Learning multiple gaussian prototypes for open-set recognition. - Jiaming Liu 002; Jun Tian; Wei Han 009; Zhili Qin; Yulu Fan; Junming Shao (Inf. Sci., 2023)

FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. - Cobbinah Bernard Mawuli; Liwei Che; Jay Kumar; Salah Ud Din; Zhili Qin; Qinli Yang; Junming Shao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Interpretable Function Embedding and Module in Convolutional Neural Networks. - Wei Han 009; Zhili Qin; Junming Shao (ICME, 2024)

Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning. - Jiaming Liu 002; Hongyuan Liu 006; Zhili Qin; Wei Han 009; Yulu Fan; Qinli Yang; Junming Shao (CoRR, 2024)

Rethinking few-shot class-incremental learning: A lazy learning baseline. - Zhili Qin; Wei Han 009; Jiaming Liu 002; Rui Zhang 070; Qingli Yang; Zejun Sun; Junming Shao (Expert Syst. Appl., 2024)

Robust graph embedding via Attack-aid Graph Denoising. - Zhili Qin; Han Wang; Zhongjing Yu; Qinli Yang; Junming Shao (Inf. Sci., 2024)

Unsupervised graph denoising via feature-driven matrix factorization. - Han Wang; Zhili Qin; Zejun Sun; Qinli Yang; Junming Shao (Inf. Sci., 2024)

Synchronization-Inspired Interpretable Neural Networks. - Wei Han 009; Zhili Qin; Jiaming Liu 002; Christian Böhm 001; Junming Shao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Attribute enhanced random walk for community detection in attributed networks. - Zhili Qin; Haoran Chen; Zhongjing Yu; Qinli Yang; Junming Shao (Neurocomputing, 2025)