| Towards real-time demand-aware sequential POI recommendation H Wang, P Li, Y Liu, J Shao Information Sciences 547, 482-497, 2021 | 43 | 2021 |
| Multi-view discriminative learning via joint non-negative matrix factorization Z Zhang, Z Qin, P Li, Q Yang, J Shao Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 28 | 2018 |
| Predicting hyperlinks via hypernetwork loop structure L Pan, HJ Shang, P Li, H Dai, W Wang, L Tian EPL (Europhysics Letters), 2021 | 19 | 2021 |
| Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression P Li, H Wang, C Böhm, J Shao International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020 | 16 | 2020 |
| Exploring common and distinct structural connectivity patterns between schizophrenia and major depression via cluster-driven nonnegative matrix factorization J Shao, Z Yu, P Li, W Han, C Sorg, Q Yang 2017 IEEE International Conference on Data Mining (ICDM), 1081-1086, 2017 | 10 | 2017 |
| Learning dynamic user behavior based on error-driven event representation H Wang, P Li, W Tao, B Feng, J Shao Proceedings of the Web Conference 2021, 2457-2465, 2021 | 3 | 2021 |
| Online Budgeted Least Squares with Unlabeled Data C Huang, P Li, C Gao, Q Yang, J Shao 2019 IEEE International Conference on Data Mining (ICDM), 309-318, 2019 | 3 | 2019 |
| Influence without authority: Maximizing information coverage in hypergraphs P Li, H Wang, K Li, C Bohm Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 2 | 2023 |
| Exploiting inconsistency problem in multi-label classification via metric learning P Li, Z Qin, H Wang, Q Yang, J Shao 2020 IEEE International Conference on Data Mining (ICDM), 1100-1105, 2020 | 2 | 2020 |
| Community Detection with Local Metric Learning P Li, H Wang, J Lu, Q Yang, J Shao 2020 IEEE International Conference on Data Mining (ICDM), 312-321, 2020 | 1 | 2020 |
| Interpretable Subgraph Feature Extraction for Hyperlink Prediction P Li, L Pan, K Li, C Plant, C Böhm 2023 IEEE International Conference on Data Mining (ICDM), 279-288, 2023 | | 2023 |
