| 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 | 495 | 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 | 235 | 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 | 201 | 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 | 180 | 2017 |
| Detecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines W Chen, P Xing, Q Zou Scientific reports 7 (1), 40242, 2017 | 122 | 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 | 116 | 2017 |
| Federated graph neural networks: Overview, techniques, and challenges R Liu, P Xing, Z Deng, A Li, C Guan, H Yu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 87 | 2024 |
| 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), 46757, 2017 | 84 | 2017 |
| Big-fed: Bilevel optimization enhanced graph-aided federated learning P Xing, S Lu, L Wu, H Yu IEEE Transactions on Big Data, 2022 | 20 | 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 | 9 | 2022 |
| Federated learning with diversified preference for humor recognition X Guo, P Xing, S Feng, B Li, C Miao IJCAI Workshop 1, 2020 | 5 | 2020 |
| Federated Neuro-Symbolic Learning P Xing, S Lu, H Yu arXiv preprint arXiv:2308.15324, 2023 | 3 | 2023 |
| Graph-aware federated learning S Lu, P Xing, H Yu Federated Learning, 181-197, 2024 | | 2024 |
| Federated Neuro-Symbolic Learning P Xing, S Lu, H Yu Forty-first International Conference on Machine Learning, 0 | | |
Han YuAssociate Professor, College of Computing & Data Science, Nanyang Technological University (NTU), SG在 ntu.edu.sg 的电子邮件经过验证
