| A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data Q Wang, R Chen, F Cheng, Q Wei, Y Ji, H Yang, X Zhong, R Tao, Z Wen, ... Nature neuroscience 22 (5), 691-699, 2019 | 136 | 2019 |
| Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data H Yang, R Chen, D Li, Z Wang Bioinformatics 37 (16), 2231-2237, 2021 | 76 | 2021 |
| Spatial-frequency convolutional self-attention network for EEG emotion recognition D Li, L Xie, B Chai, Z Wang, H Yang Applied Soft Computing 122, 108740, 2022 | 52 | 2022 |
| FLDNet: Frame-level distilling neural network for EEG emotion recognition Z Wang, T Gu, Y Zhu, D Li, H Yang, W Du IEEE Journal of Biomedical and Health Informatics 25 (7), 2533-2544, 2021 | 41 | 2021 |
| Semantic supplementary network with prior information for multi-label image classification Z Wang, Z Fang, D Li, H Yang, W Du IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 1848-1859, 2021 | 34 | 2021 |
| EEG emotion recognition based on 3-D feature representation and dilated fully convolutional networks D Li, B Chai, Z Wang, H Yang, W Du IEEE Transactions on Cognitive and Developmental Systems 13 (4), 885-897, 2021 | 29 | 2021 |
| Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework H Yang, Q Wei, X Zhong, H Yang, B Li Bioinformatics 33 (4), 483-490, 2017 | 28 | 2017 |
| Brain emotion perception inspired EEG emotion recognition with deep reinforcement learning D Li, L Xie, Z Wang, H Yang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 27 | 2023 |
| Entropy‐based hybrid sampling ensemble learning for imbalanced data L Dongdong, C Ziqiu, W Bolu, W Zhe, Y Hai, D Wenli International Journal of Intelligent Systems 36 (7), 3039-3067, 2021 | 23 | 2021 |
| De novo pattern discovery enables robust assessment of functional consequences of non-coding variants H Yang, R Chen, Q Wang, Q Wei, Y Ji, G Zheng, X Zhong, NJ Cox, B Li Bioinformatics 35 (9), 1453-1460, 2019 | 22 | 2019 |
| Multi-attention mutual information distributed framework for few-shot learning Z Wang, P Ma, Z Chi, D Li, H Yang, W Du Expert Systems with Applications 202, 117062, 2022 | 17 | 2022 |
| Knowledge aggregation networks for class incremental learning Z Fu, Z Wang, X Xu, D Li, H Yang Pattern Recognition 137, 109310, 2023 | 15 | 2023 |
| Frame-level teacher–student learning with data privacy for EEG emotion recognition T Gu, Z Wang, X Xu, D Li, H Yang, W Du IEEE transactions on neural networks and learning systems 34 (12), 11021-11028, 2022 | 15 | 2022 |
| Multi-kernel support vector data description with boundary information W Guo, Z Wang, S Hong, D Li, H Yang, W Du Engineering Applications of Artificial Intelligence 102, 104254, 2021 | 15 | 2021 |
| Multi-feature space similarity supplement for few-shot class incremental learning X Xu, S Niu, Z Wang, W Guo, L Jing, H Yang Knowledge-Based Systems 265, 110394, 2023 | 11 | 2023 |
| Cost-sensitive matrixized classification learning with information entropy Z Wang, X Chu, D Li, H Yang, W Qu Applied Soft Computing 116, 108266, 2022 | 11 | 2022 |
| Complementary features based prototype self-updating for few-shot learning X Xu, Z Wang, Z Chi, H Yang, W Du Expert Systems with Applications 214, 119067, 2023 | 10 | 2023 |
| Client selection based weighted federated few-shot learning X Xu, S Niu, Z Wang, D Li, H Yang, W Du Applied Soft Computing 128, 109488, 2022 | 10 | 2022 |
| Graph-based object semantic refinement for visual emotion recognition J Zhang, X Liu, Z Wang, H Yang IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 3036-3049, 2021 | 10 | 2021 |
| Federated probability memory recall for federated continual learning Z Wang, Y Zhang, X Xu, Z Fu, H Yang, W Du Information Sciences 629, 551-565, 2023 | 9 | 2023 |
Zhe WangProfessor of Computer Science & Engineering, East China University of Science & TechnologyVerified email at ecust.edu.cn