| 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 | 68 | 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 | 52 | 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 | 48 | 2019 |
| CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling H Peng, Y Zheng, M Blumenstein, D Tao, J Li Bioinformatics 34 (18), 3069-3077, 2018 | 48 | 2018 |
| 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 | 44 | 2018 |
| Inverse similarity and reliable negative samples for drug side-effect prediction Y Zheng, H Peng, S Ghosh, C Lan, J Li BMC bioinformatics 19, 91-104, 2019 | 37 | 2019 |
| Microbial CRISPRi and CRISPRa systems for metabolic engineering Y Zheng, T Su, Q Qi Biotechnology and bioprocess engineering 24, 579-591, 2019 | 33 | 2019 |
| 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 | 18 | 2021 |
| Density K-means: A new algorithm for centers initialization for K-means X Lan, Q Li, Y Zheng 2015 6th IEEE international conference on software engineering and service …, 2015 | 17 | 2015 |
| 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 | 14 | 2019 |
| Predicting drug targets from heterogeneous spaces using anchor graph hashing and ensemble learning Y Zheng, H Peng, X Zhang, X Gao, J Li 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 14 | 2018 |
| 基于深度信念网络的 PM2. 5 预测 郑毅， 朱成璋 山东大学学报 (工学版) 44 (6), 19-25, 2014 | 14 | 2014 |
| Cross disease analysis of co-functional microRNA pairs on a reconstructed network of disease-gene-microRNA tripartite H Peng, C Lan, Y Zheng, G Hutvagner, D Tao, J Li Bmc Bioinformatics 18, 1-17, 2017 | 12 | 2017 |
| LWCS: A large-scale web page classification system based on anchor graph hashing Y Zheng, C Sun, C Zhu, X Lan, X Fu, W Han 2015 6th IEEE International Conference on Software Engineering and Service …, 2015 | 10 | 2015 |
| Using constrained information entropy to detect rare adverse drug reactions from medical forums Y Zheng, C Lan, H Peng, J Li 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 8 | 2016 |
| 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 | 7 | 2019 |
| An optimized drug similarity framework for side-effect prediction Y Zheng, S Ghosh, J Li 2017 Computing in Cardiology (CinC), 1-4, 2017 | 5 | 2017 |
| Multigene editing: current approaches and beyond H Peng, Y Zheng, Z Zhao, J Li Briefings in bioinformatics 22 (5), bbaa396, 2021 | 4 | 2021 |
| Drug Side-Effect Prediction Using Heterogeneous Features and Bipartite Local Models Y Zheng, W Zhao, C Sun, Q Li Computers, Materials & Continua 60 (2), 481-496, 2019 | 3 | 2019 |
Jinyan LiDistinguished Professor, 深圳理工大学；Adjunct Professor, University of Technology SydneyZweryfikowany adres z uts.edu.au
