| Nonnegative matrix factorization on orthogonal subspace Z Li, X Wu, H Peng Pattern Recognition Letters 31 (9), 905-911, 2010 | 88 | 2010 |
| AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. L Zheng, Z Li, J Li, Z Li, J Gao IJCAI, 4419-4425, 2019 | 83 | 2019 |
| Feature-induced partial multi-label learning G Yu, X Chen, C Domeniconi, J Wang, Z Li, Z Zhang, X Wu 2018 IEEE International Conference on Data Mining (ICDM), 1398-1403, 2018 | 42 | 2018 |
| Modeling data, information and knowledge for security protection of hybrid IoT and edge resources Y Duan, X Sun, H Che, C Cao, Z Li, X Yang Ieee Access 7, 99161-99176, 2019 | 40 | 2019 |
| Activehne: Active heterogeneous network embedding X Chen, G Yu, J Wang, C Domeniconi, Z Li, X Zhang arXiv preprint arXiv:1905.05659, 2019 | 37 | 2019 |
| Group feature selection with streaming features H Li, X Wu, Z Li, W Ding 2013 IEEE 13th International Conference on Data Mining, 1109-1114, 2013 | 35 | 2013 |
| Personalized bundle list recommendation J Bai, C Zhou, J Song, X Qu, W An, Z Li, J Gao The World Wide Web Conference, 60-71, 2019 | 34 | 2019 |
| A relation extraction method of Chinese named entities based on location and semantic features H Li, X Wu, Z Li, G Wu Applied intelligence 38 (1), 1-15, 2013 | 32 | 2013 |
| Hierarchical bipartite graph neural networks: Towards large-scale e-commerce applications Z Li, X Shen, Y Jiao, X Pan, P Zou, X Meng, C Yao, J Bu 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1677-1688, 2020 | 28 | 2020 |
| Online e-commerce fraud: a large-scale detection and analysis H Weng, Z Li, S Ji, C Chu, H Lu, T Du, Q He 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1435-1440, 2018 | 28 | 2018 |
| Interactive paths embedding for semantic proximity search on heterogeneous graphs Z Liu, VW Zheng, Z Zhao, Z Li, H Yang, M Wu, J Ying Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018 | 27 | 2018 |
| Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. M Zhao, Z Li, B An, H Lu, Y Yang, C Chu IJCAI, 3940-3946, 2018 | 25 | 2018 |
| Anomaly detection on attributed networks via contrastive self-supervised learning Y Liu, Z Li, S Pan, C Gong, C Zhou, G Karypis IEEE transactions on neural networks and learning systems, 2021 | 24 | 2021 |
| Deep cascade multi-task learning for slot filling in online shopping assistant Y Gong, X Luo, Y Zhu, W Ou, Z Li, M Zhu, KQ Zhu, L Duan, X Chen Proceedings of the AAAI conference on artificial intelligence 33 (01), 6465-6472, 2019 | 23 | 2019 |
| Poisonrec: an adaptive data poisoning framework for attacking black-box recommender systems J Song, Z Li, Z Hu, Y Wu, Z Li, J Li, J Gao 2020 IEEE 36th International Conference on Data Engineering (ICDE), 157-168, 2020 | 22 | 2020 |
| Securing the deep fraud detector in large-scale e-commerce platform via adversarial machine learning approach Q Guo, Z Li, B An, P Hui, J Huang, L Zhang, M Zhao The World Wide Web Conference, 616-626, 2019 | 22 | 2019 |
| Detecting Crowdturfing" Add to Favorites" Activities in Online Shopping N Su, Y Liu, Z Li, Y Liu, M Zhang, S Ma Proceedings of the 2018 World Wide Web Conference, 1673-1682, 2018 | 21 | 2018 |
| Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data P Wang, P Zhang, C Zhou, Z Li, H Yang Data Mining and Knowledge Discovery 31 (1), 32-64, 2017 | 21 | 2017 |
| Spreading social influence with both positive and negative opinions in online networks JS He, M Han, S Ji, T Du, Z Li Big Data Mining and Analytics 2 (2), 100-117, 2019 | 19 | 2019 |
| Multimodal sparse linear integration for content-based item recommendation Q Zhu, Z Li, H Wang, Y Yang, ML Shyu 2013 IEEE International Symposium on Multimedia, 187-194, 2013 | 19 | 2013 |
Xindong WuHefei University of TechnologyVerified email at hfut.edu.cn
