| A challenge dataset and effective models for aspect-based sentiment analysis Q Jiang, L Chen, R Xu, X Ao, M Yang Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 363 | 2019 |
| Pick and choose: a GNN-based imbalanced learning approach for fraud detection Y Liu, X Ao, Z Qin, J Chi, J Feng, H Yang, Q He Proceedings of the web conference 2021, 3168-3177, 2021 | 345 | 2021 |
| ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information Z Sun, X Li, X Sun, Y Meng, X Ao, Q He, F Wu, J Li Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 212 | 2021 |
| Warm up cold-start advertisements: Improving ctr predictions via learning to learn id embeddings F Pan, S Li, X Ao, P Tang, Q He Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 212 | 2019 |
| Intelligent financial fraud detection practices in post-pandemic era X Zhu, X Ao, Z Qin, Y Chang, Y Liu, Q He, J Li The Innovation 2 (4), 2021 | 172 | 2021 |
| Financial defaulter detection on online credit payment via multi-view attributed heterogeneous information network Q Zhong, Y Liu, X Ao, B Hu, J Feng, J Tang, Q He Proceedings of the web conference 2020, 785-795, 2020 | 123 | 2020 |
| Energy model for rumor propagation on social networks S Han, F Zhuang, Q He, Z Shi, X Ao Physica A: Statistical Mechanics and its Applications 394, 99-109, 2014 | 116 | 2014 |
| Multi-view multi-behavior contrastive learning in recommendation Y Wu, R Xie, Y Zhu, X Ao, X Chen, X Zhang, F Zhuang, L Lin, Q He International conference on database systems for advanced applications, 166-182, 2022 | 103 | 2022 |
| Intention-aware heterogeneous graph attention networks for fraud transactions detection C Liu, L Sun, X Ao, J Feng, Q He, H Yang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 95 | 2021 |
| Auc-oriented graph neural network for fraud detection M Huang, Y Liu, X Ao, K Li, J Chi, J Feng, H Yang, Q He Proceedings of the ACM web conference 2022, 1311-1321, 2022 | 87 | 2022 |
| Improving named entity recognition with attentive ensemble of syntactic information Y Nie, Y Tian, Y Song, X Ao, X Wan arXiv preprint arXiv:2010.15466, 2020 | 82 | 2020 |
| Towards explainable conversational recommendation Z Chen, X Wang, X Xie, M Parsana, A Soni, X Ao, E Chen Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 79 | 2021 |
| Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. L Luo, X Ao, F Pan, J Wang, T Zhao, N Yu, Q He IJCAI, 4244-4250, 2018 | 74 | 2018 |
| Grid-based DBSCAN: Indexing and inference T Boonchoo, X Ao, Y Liu, W Zhao, F Zhuang, Q He Pattern Recognition 90, 271-284, 2019 | 69 | 2019 |
| Attention-driven Factor Model for Explainable Personalized Recommendation J Chen, F Zhuang, X Hong, X Ao, X Xie, Q He | 69 | 2018 |
| Joint Chinese word segmentation and part-of-speech tagging via two-way attentions of auto-analyzed knowledge Y Tian, Y Song, X Ao, F Xia, X Quan, T Zhang, Y Wang Proceedings of the 58th annual meeting of the association for computational …, 2020 | 68 | 2020 |
| Unsupervised Neural Aspect Extraction with Sememes L Luo, X Ao, Y Song, J Li, X Yang, Q He, D Yu IJCAI, 5123-5129, 2019 | 67 | 2019 |
| Mining precise-positioning episode rules from event sequences X Ao, P Luo, J Wang, F Zhuang, Q He IEEE Transactions on Knowledge and Data Engineering 30 (3), 530-543, 2017 | 66 | 2017 |
| Reliable representations make a stronger defender: Unsupervised structure refinement for robust gnn K Li, Y Liu, X Ao, J Chi, J Feng, H Yang, Q He Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 65 | 2022 |
| PENS: A Dataset and Generic Framework for Personalized News Headline Generation X Ao, X Wang, L Luo, Y Qiao, Q He, X Xie Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 61 | 2021 |
Yang Liu （柳阳）Assistant Professor @ Institute of Computing Technology, Chinese Academy of SciencesE-mailová adresa ověřena na: ict.ac.cn
