| Human emotion recognition with electroencephalographic multidimensional features by hybrid deep neural networks Y Li, J Huang, H Zhou, N Zhong Applied Sciences 7 (10), 1060, 2017 | 193 | 2017 |
| A rapid source localization method in the early stage of large-scale network propagation Z Wang, D Hou, C Gao, J Huang, Q Xuan Proceedings of the ACM web conference 2022, 1372-1380, 2022 | 67 | 2022 |
| HybridEEGNet: A convolutional neural network for EEG feature learning and depression discrimination Z Wan, J Huang, H Zhang, H Zhou, J Yang, N Zhong IEEE Access 8, 30332-30342, 2020 | 63 | 2020 |
| Detecting depression using an ensemble classifier based on Quality of Life scales X Tao, O Chi, PJ Delaney, L Li, J Huang Brain Informatics 8, 1-15, 2021 | 50 | 2021 |
| Cost-sensitive three-way recommendations by learning pair-wise preferences J Huang, J Wang, Y Yao, N Zhong International Journal of Approximate Reasoning 86, 28-40, 2017 | 39 | 2017 |
| Using market value functions for targeted marketing data mining YY Yao, N Zhong, J Huang, C Ou, C Liu International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002 | 35 | 2002 |
| A Physarum-inspired optimization algorithm for load-shedding problem C Gao, S Chen, X Li, J Huang, Z Zhang Applied Soft Computing 61, 239-255, 2017 | 32 | 2017 |
| EEGformer: A transformer–based brain activity classification method using EEG signal Z Wan, M Li, S Liu, J Huang, H Tan, W Duan Frontiers in neuroscience 17, 1148855, 2023 | 28 | 2023 |
| Self-supervised group meiosis contrastive learning for eeg-based emotion recognition H Kan, J Yu, J Huang, Z Liu, H Wang, H Zhou Applied Intelligence 53 (22), 27207-27225, 2023 | 27 | 2023 |
| Single-channel EEG-based machine learning method for prescreening major depressive disorder Z Wan, H Zhang, J Huang, H Zhou, J Yang, N Zhong International Journal of Information Technology & Decision Making 18 (05 …, 2019 | 26 | 2019 |
| Study of emotion recognition based on fusion multi-modal bio-signal with SAE and LSTM recurrent neural network YJ Li, JJ Huang, HY Wang, N Zhong J Commun 38 (12), 109-120, 2017 | 21 | 2017 |
| A probabilistic inference model for recommender systems J Huang, K Zhu, N Zhong Applied Intelligence 45, 686-694, 2016 | 19 | 2016 |
| Data mining for targeted marketing N Zhong, J Liu, N Zhong, Y Yao, C Liu, J Huang, C Ou Intelligent Technologies for Information Analysis, 109-131, 2004 | 16 | 2004 |
| Medication combination prediction using temporal attention mechanism and simple graph convolution H Wang, Y Wu, C Gao, Y Deng, F Zhang, J Huang, J Liu IEEE Journal of Biomedical and Health Informatics 25 (10), 3995-4004, 2021 | 15 | 2021 |
| Relational peculiarity oriented data mining N Zhong, C Liu, YY Yao, M Ohshima, M Huang, J Huang Fourth IEEE International Conference on Data Mining (ICDM'04), 575-578, 2004 | 14 | 2004 |
| A multi-domain named entity recognition method based on part-of-speech attention mechanism S Zhang, Y Sheng, J Gao, J Chen, J Huang, S Lin Computer Supported Cooperative Work and Social Computing: 14th CCF …, 2019 | 13 | 2019 |
| A unified framework of targeted marketing using customer preferences J Huang, N Zhong, Y Yao Computational Intelligence 30 (3), 451-472, 2014 | 13 | 2014 |
| Identifying influential nodes in complex networks: A multiple attributes fusion method L Zhong, C Gao, Z Zhang, N Shi, J Huang Active Media Technology: 10th International Conference, AMT 2014, Warsaw …, 2014 | 13 | 2014 |
| Attribute reduction of rough sets in mining market value functions J Huang, C Liu, C Ou, YY Yao, N Zhong Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003 …, 2003 | 12 | 2003 |
| TFCSRec: Time–frequency consistency based contrastive learning for sequential recommendation Y Xiao, J Huang, J Yang Expert Systems with Applications 245, 123118, 2024 | 11 | 2024 |
