| EA-LSTM: Evolutionary attention-based LSTM for time series prediction Y Li, Z Zhu, D Kong, H Han, Y Zhao Knowledge-Based Systems 181, 104785, 2019 | 443 | 2019 |
| Learning heterogeneous spatial-temporal representation for bike-sharing demand prediction Y Li, Z Zhu, D Kong, M Xu, Y Zhao Proceedings of the AAAI conference on artificial intelligence 33 (01), 1004-1011, 2019 | 89 | 2019 |
| Self-attention-based time-variant neural networks for multi-step time series forecasting C Gao, N Zhang, Y Li, F Bian, H Wan Neural Computing and Applications 34 (11), 8737-8754, 2022 | 32 | 2022 |
| DKEN: Deep knowledge-enhanced network for recommender systems X Guo, W Lin, Y Li, Z Liu, L Yang, S Zhao, Z Zhu Information Sciences 540, 263-277, 2020 | 27 | 2020 |
| Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis W Zhang, H Wu, Y Liu, S Zheng, Z Liu, Y Li, Y Zhao, Z Zhu Biomedical Signal Processing and Control 68, 102616, 2021 | 25 | 2021 |
| Learning dynamic user interest sequence in knowledge graphs for click-through rate prediction Y Li, X Guo, W Lin, M Zhong, Q Li, Z Liu, W Zhong, Z Zhu IEEE Transactions on Knowledge and Data Engineering 35 (1), 647-657, 2021 | 21 | 2021 |
| Sgt: Scene graph-guided transformer for surgical report generation C Lin, S Zheng, Z Liu, Y Li, Z Zhu, Y Zhao International conference on medical image computing and computer-assisted …, 2022 | 19 | 2022 |
| Node-oriented spectral filtering for graph neural networks S Zheng, Z Zhu, Z Liu, Y Li, Y Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 18 | 2023 |
| The study on human action recognition with depth video for intelligent monitoring X Liu, Y Li, Y Li, S Yu, C Tian 2019 Chinese Control And Decision Conference (CCDC), 5702-5706, 2019 | 12 | 2019 |
| CCAE: cross-field categorical attributes embedding for cancer clinical endpoint prediction Y Li, Z Zhu, H Wu, S Ding, Y Zhao Artificial Intelligence in Medicine 107, 101915, 2020 | 11 | 2020 |
| Adversarial self-attentive time-variant neural networks for multi-step time series forecasting C Gao, N Zhang, Y Li, Y Lin, H Wan Expert Systems with Applications (ESWA), 120722, 2023 | 10 | 2023 |
| GBDT based railway accident type prediction and cause analysis HM Zhong, WL Zhang, YR Li, ZF Zhu, Y Zhao Acta Automatica Sinica 45, 1-9, 2021 | 9 | 2021 |
| Fault diagnosis of aero-engine inter-shaft bearing based on Deep-GBM J Tian, LI Youru, AI Yanting Journal of Aerospace Power 9 (5), 2019 | 8 | 2019 |
| Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting C Gao, N Zhang, Y Li, Y Lin, H Wan Applied Intelligence, 1-20, 2023 | 5* | 2023 |
| Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction Y Li, Z Zhu, X Guo, L Chen, Z Wang, Y Wang, B Han, Y Zhao Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Cooperative dual medical ontology representation learning for clinical assisted decision-making M Xu, Z Zhu, Y Li, S Zheng, L Li, H Wu, Y Zhao Computers in Biology and Medicine, 107138, 2023 | 5 | 2023 |
| Fault diagnosis technology of inter-shaft bearing based on EMD fuzzy entropy and consultative decision fusion model W Zhi, L Youru, T Jing Aeroengine 45 (05), 76-81, 2019 | 5 | 2019 |
| Asymptotic Consistent Graph Structure Learning for Multivariate Time-Series Anomaly Detection H Pang, S Wei, Y Li, T Liu, H Zhang, Y Qin, Y Zhao IEEE Transactions on Instrumentation and Measurement, 2024 | 4 | 2024 |
| HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction Y Li, Z Zhu, X Guo, S Li, Y Yang, Y Zhao ACM Transactions on Knowledge Discovery from Data 18 (1), 1–21, 2023 | 4 | 2023 |
| 一种基于Deep-GBM的航空发动机中介轴承故障诊断方法 田晶， 李有儒， 艾延廷 航空动力学报 34 (04), 26-33, 2019 | 4 | 2019 |
zhenfeng zhuVerified email at bjtu.edu.cn
