Zhili Qin

According to our database, Zhili Qin authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Synchronization-Inspired Interpretable Neural Networks.

Wei Han, Zhili Qin, Jiaming Liu, Christian Böhm, Junming Shao

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Unsupervised graph denoising via feature-driven matrix factorization.

Han Wang, Zhili Qin, Zejun Sun, Qinli Yang, Junming Shao

Inf. Sci., 2024

Robust graph embedding via Attack-aid Graph Denoising.

Zhili Qin, Han Wang, Zhongjing Yu, Qinli Yang, Junming Shao

Inf. Sci., 2024

Rethinking few-shot class-incremental learning: A lazy learning baseline.

Zhili Qin, Wei Han, Jiaming Liu, Rui Zhang, Qingli Yang, Zejun Sun, Junming Shao

Expert Syst. Appl., 2024

Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning.

Jiaming Liu, Hongyuan Liu, Zhili Qin, Wei Han, Yulu Fan, Qinli Yang, Junming Shao

CoRR, 2024

Interpretable Function Embedding and Module in Convolutional Neural Networks.

Wei Han, Zhili Qin, Junming Shao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

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., November, 2023

Learning multiple gaussian prototypes for open-set recognition.

Jiaming Liu, Jun Tian, Wei Han, Zhili Qin, Yulu Fan, Junming Shao

Inf. Sci., May, 2023

2022

Multi-instance attention network for few-shot learning.

Zhili Qin, Han Wang, Cobbinah Bernard Mawuli, Wei Han, Rui Zhang, Qinli Yang, Junming Shao

Inf. Sci., 2022

Learning Evolving Concepts with Online Class Posterior Probability.

Junming Shao, Kai Wang, Jianyun Lu, Zhili Qin, Qiming Wangyang, Qinli Yang

Proceedings of the Database Systems for Advanced Applications, 2022

2020

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning.

Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2018

Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization.

Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2018