| Prediction of taxi destinations using a novel data embedding method and ensemble learning X Zhang, Z Zhao, Y Zheng, J Li IEEE Transactions on Intelligent Transportation Systems 21 (1), 68-78, 2019 | 76 | 2019 |
| Imbalance learning for the prediction of N6-Methylation sites in mRNAs Z Zhao, H Peng, C Lan, Y Zheng, L Fang, J Li BMC genomics 19, 1-10, 2018 | 57 | 2018 |
| DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions Y Zheng, H Peng, X Zhang, Z Zhao, X Gao, J Li BMC bioinformatics 20, 1-12, 2019 | 56 | 2019 |
| Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions H Peng, Y Zheng, Z Zhao, T Liu, J Li Bioinformatics 34 (17), i757-i765, 2018 | 45 | 2018 |
| Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases Y Zheng, H Peng, X Zhang, Z Zhao, J Yin, J Li BMC bioinformatics 19, 49-59, 2018 | 26 | 2018 |
| Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis X Zhang, Y Zheng, Z Zhao, Y Liu, M Blumenstein, J Li Knowledge-Based Systems 217, 106833, 2021 | 24 | 2021 |
| Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features Z Zhao, X Zhang, F Chen, L Fang, J Li BMC genomics 21, 1-11, 2020 | 24 | 2020 |
| A novel detection method for hardware trojan in third party ip cores ER Zhou, SQ Li, JH Chen, L Ni, ZX Zhao, J Li 2016 International Conference on Information System and Artificial …, 2016 | 17 | 2016 |
| Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces Y Zheng, H Peng, X Zhang, Z Zhao, X Gao, J Li BMC bioinformatics 20, 1-9, 2019 | 15 | 2019 |
| The influence on sensitivity of hardware trojans detection by test vector L Ni, S Li, J Chen, P Wei, Z Zhao 2014 Communications Security Conference (CSC 2014), 1-6, 2014 | 15 | 2014 |
| Nonlinear analysis for hardware Trojan detection E Zhou, S Li, Z Zhao, L Ni 2015 IEEE International Conference on Signal Processing, Communications and …, 2015 | 10 | 2015 |
| Identification of lung cancer gene markers through kernel maximum mean discrepancy and information entropy Z Zhao, H Peng, X Zhang, Y Zheng, F Chen, L Fang, J Li BMC medical genomics 12, 1-10, 2019 | 8 | 2019 |
| Arde-n-beats: An evolutionary deep learning framework for urban traffic flow prediction X Zhang, Z Zhao, J Li IEEE Internet of Things Journal 10 (3), 2391-2403, 2022 | 7 | 2022 |
| Multigene editing: current approaches and beyond H Peng, Y Zheng, Z Zhao, J Li Briefings in bioinformatics 22 (5), bbaa396, 2021 | 4 | 2021 |
| Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks X Zhang, Y Liu, Y Zheng, Z Zhao, J Li, Y Liu AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 3 | 2018 |
| Detection method of hardware Trojans power consumption Z ZHAO, L NI, S LI Journal of Beijing University of Posts and Telecommunications 38 (4), 133, 2015 | 3 | 2015 |
| A Feature Extraction Method for Hardware Trojans Detection Z Zhao, L Ni, S Li, Y Shi 2015 International Conference on Automation, Mechanical Control and …, 2015 | 3 | 2015 |
| 硬件木马电路功耗的检测方法 赵志勋， 倪林， 李少青 北京邮电大学学报 38 (4), 133, 2015 | 1 | 2015 |
| A Hardware Trojans Detection Method by Side-channel Analysis L Ni, K Han, Z Zhao, P Wei The 4th International Conference on Information Science and Cloud Computing …, 2015 | 1 | 2015 |
