| Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA Q Zou, P Xing, L Wei, B Liu Rna 25 (2), 205-218, 2019 | 368 | 2019 |
| Improved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifier L Wei, P Xing, J Zeng, JX Chen, R Su, F Guo Artificial Intelligence in Medicine 83, 67-74, 2017 | 197 | 2017 |
| Fast prediction of protein methylation sites using a sequence-based feature selection technique L Wei, P Xing, G Shi, Z Ji, Q Zou IEEE/ACM Transactions on Computational Biology and Bioinformatics 16 (4 …, 2017 | 173 | 2017 |
| CPPred-RF: a sequence-based predictor for identifying cell-penetrating peptides and their uptake efficiency L Wei, PW Xing, R Su, G Shi, ZS Ma, Q Zou Journal of Proteome Research 16 (5), 2044-2053, 2017 | 131 | 2017 |
| Detecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines W Chen, P Xing, Q Zou Scientific reports 7 (1), 1-8, 2017 | 101 | 2017 |
| PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only L Wei, P Xing, J Tang, Q Zou IEEE transactions on nanobioscience 16 (4), 240-247, 2017 | 100 | 2017 |
| Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine P Xing, R Su, F Guo, L Wei Scientific reports 7 (1), 1-7, 2017 | 58 | 2017 |
| Federated Learning with Diversified Preference for Humor Recognition X Guo, P Xing, S Feng, B Li, C Miao arXiv preprint arXiv:2012.01675, 2020 | 1 | 2020 |
| BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning P Xing, S Lu, L Wu, H Yu IEEE Transactions on Big Data, 2022 | | 2022 |
| Federated Learning for Personalized Humor Recognition X Guo, H Yu, B Li, H Wang, P Xing, S Feng, Z Nie, C Miao ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-18, 2022 | | 2022 |
