| Low-rank Network Signatures in the Triple Network Separate Schizophrenia and Major Depressive Disorder W Han, C Sorg, C Zheng, Q Yang, X Zhang, A Ternblom, CB Mawuli, ... NeuroImage: Clinical 22, 101725, 2019 | 31 | 2019 |
| Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder BM Cobbinah, C Sorg, Q Yang, A Ternblom, C Zheng, W Han, L Che, ... Medical image analysis 82, 102585, 2022 | 27 | 2022 |
| Multi-instance attention network for few-shot learning Z Qin, H Wang, CB Mawuli, W Han, R Zhang, Q Yang, J Shao Information Sciences 611, 464-475, 2022 | 24 | 2022 |
| Learning multiple gaussian prototypes for open-set recognition J Liu, J Tian, W Han, Z Qin, Y Fan, J Shao Information Sciences 626, 738-753, 2023 | 20 | 2023 |
| Exploring common and distinct structural connectivity patterns between schizophrenia and major depression via cluster-driven nonnegative matrix factorization J Shao, Z Yu, P Li, W Han, C Sorg, Q Yang 2017 IEEE International Conference on Data Mining (ICDM), 1081-1086, 2017 | 10 | 2017 |
| Modular neural network via exploring category hierarchy W Han, C Zheng, R Zhang, J Guo, Q Yang, J Shao Information Sciences 569, 496-507, 2021 | 8 | 2021 |
| Rethinking few-shot class-incremental learning: A lazy learning baseline Z Qin, W Han, J Liu, R Zhang, Q Yang, Z Sun, J Shao Expert Systems with Applications 250, 123848, 2024 | 3 | 2024 |
| Synchronization-Inspired Interpretable Neural Networks W Han, Z Qin, J Liu, C Böhm, J Shao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning J Liu, H Liu, Z Qin, W Han, Y Fan, Q Yang, J Shao arXiv preprint arXiv:2408.10046, 2024 | | 2024 |
| Interpretable Function Embedding and Module in Convolutional Neural Networks W Han, Z Qin, J Shao 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | | 2024 |
| An Interpretable Neuron Embedding for Static Knowledge Distillation W Han, Y Wang, C Böhm, J Shao KDD Workshop on Visualization in Data Science, VDS-KDD 2022., 1-4, 2022 | | 2022 |