| Spotting fake reviews via collective positive-unlabeled learning H Li, Z Chen, B Liu, X Wei, J Shao 2014 IEEE international conference on data mining, 899-904, 2014 | 285 | 2014 |
| Supporting clustering with contrastive learning D Zhang, F Nan, X Wei, S Li, H Zhu, K McKeown, R Nallapati, A Arnold, ... arXiv preprint arXiv:2103.12953, 2021 | 213 | 2021 |
| Embedding of embedding (EOE) joint embedding for coupled heterogeneous networks L Xu, X Wei, J Cao, PS Yu Proceedings of the tenth ACM international conference on web search and data …, 2017 | 175 | 2017 |
| Mixed-curvature multi-relational graph neural network for knowledge graph completion S Wang, X Wei, CN Nogueira dos Santos, Z Wang, R Nallapati, A Arnold, ... Proceedings of the web conference 2021, 1761-1771, 2021 | 111 | 2021 |
| Cross View Link Prediction by Learning Noise-resilient Representation Consensus X Wei, L Xu, B Cao, PS Yu World Wide Web (WWW), 2017 | 105 | 2017 |
| Lifelong pretraining: Continually adapting language models to emerging corpora X Jin, D Zhang, H Zhu, W Xiao, SW Li, X Wei, A Arnold, X Ren arXiv preprint arXiv:2110.08534, 2021 | 104 | 2021 |
| Online Unsupervised Multi-view Feature Selection W Shao, L He, CT Lu, X Wei, PS Yu ICDM, 2016 | 80 | 2016 |
| t-BNE: Tensor-based Brain Network Embedding B Cao, L He, X Wei, M Xing, PS Yu, H Klumpp, AD Leow SDM, 2017 | 60 | 2017 |
| Knowledge enhanced pretrained language models: A compreshensive survey X Wei, S Wang, D Zhang, P Bhatia, A Arnold arXiv preprint arXiv:2110.08455, 2021 | 47 | 2021 |
| Joint embedding of meta-path and meta-graph for heterogeneous information networks L Sun, L He, Z Huang, B Cao, C Xia, X Wei, SY Philip 2018 IEEE international conference on big knowledge (ICBK), 131-138, 2018 | 38 | 2018 |
| Unsupervised feature selection on networks: a generative view X Wei, B Cao, SY Philip Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 38 | 2016 |
| Entailment tree explanations via iterative retrieval-generation reasoner D Ribeiro, S Wang, X Ma, R Dong, X Wei, H Zhu, X Chen, Z Huang, P Xu, ... arXiv preprint arXiv:2205.09224, 2022 | 37 | 2022 |
| Unsupervised Feature Selection by Preserving Stochastic Neighbors X Wei, PS Yu AISTATS, 2016 | 34 | 2016 |
| On Exploring Semantic Meanings of Links for Embedding Social Networks L Xu, X Wei, J Cao, PS Yu The Web Conference (WWW), 2018 | 32 | 2018 |
| Multi-task Network Embedding L Xu, X Wei, J Cao, PS Yu DSAA, 2017 | 29 | 2017 |
| Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment X Wei, B Cao, PS Yu IJCNN, 2017 | 27 | 2017 |
| Efficient partial order preserving unsupervised feature selection on networks X Wei, S Xie, PS Yu Proceedings of the 2015 SIAM International Conference on Data Mining, 82-90, 2015 | 27 | 2015 |
| Embedding Identity and Interest for Social Networks L Xu, X Wei, J Cao, PS Yu WWW, 2017 | 24 | 2017 |
| Semi-supervised tensor factorization for brain network analysis B Cao, CT Lu, X Wei, PS Yu, AD Leow Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 22 | 2016 |
| Nonlinear joint unsupervised feature selection X Wei, B Cao, PS Yu Proceedings of the 2016 SIAM International Conference on Data Mining, 414-422, 2016 | 20 | 2016 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
