Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. - Junming Shao; Zhongjing Yu; Peiyan Li; Wei Han 009; Christian Sorg; Qinli Yang (ICDM, 2017)

Modular neural network via exploring category hierarchy. - Wei Han 009; Changgang Zheng; Rui Zhang 070; Jinxia Guo; Qinli Yang; Junming Shao (Inf. Sci., 2021)

An Interpretable Neuron Embedding for Static Knowledge Distillation. - Wei Han 009; Yangqiming Wang; Christian Böhm 001; Junming Shao (CoRR, 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)

Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder. - Bernard Cobbinah Mawuli; Christian Sorg; Qinli Yang; Arvid Ternblom; Changgang Zheng; Wei Han 009; Liwei Che; Junming Shao (Medical Image Anal., 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)

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)

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)