| A successful hybrid deep learning model aiming at promoter identification Y Wang, Q Peng, X Mou, X Wang, H Li, T Han, Z Sun, X Wang BMC bioinformatics 23 (Suppl 1), 206, 2022 | 11 | 2022 |
| A deep learning framework for news readers’ emotion prediction based on features from news article and pseudo comments X Mou, Q Peng, Z Sun, Y Wang, X Li, MF Bashir IEEE Transactions on Cybernetics 53 (4), 2186-2199, 2021 | 6 | 2021 |
| Improving long-term electricity time series forecasting in smart grid with a three-stage channel-temporal approach Z Sun, D Song, Q Peng, H Li, P Li Journal of Cleaner Production 468, 143051, 2024 | 1 | 2024 |
| Multi-document influence on readers: augmenting social emotion prediction by learning document interactions X Mou, Q Peng, Z Sun, MF Bashir, H Li Neural Computing and Applications 36 (12), 6701-6719, 2024 | 1 | 2024 |
| Generic and scalable periodicity adaptation framework for time-series anomaly detection Z Sun, Q Peng, X Mou, MF Bashir Multimedia Tools and Applications 82 (2), 2731-2748, 2023 | 1 | 2023 |
| CGN: A Simple Yet Effective Multi-Channel Gated Network for Long-Term Time Series Forecasting Z Sun, Y Pei, D Li, Q Peng ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| An Effective Hybrid Deep Learning Model for Eukaryotic Promoter Identification Y Wang, Q Peng, X Mou, T Han, Z Sun, X Wang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | | 2020 |
Yulong PeiEindhoven University of Technology在 tue.nl 的电子邮件经过验证
Yulong PeiEindhoven University of Technology在 tue.nl 的电子邮件经过验证