| Multi-modal knowledge graphs for recommender systems R Sun, X Cao, Y Zhao, J Wan, K Zhou, F Zhang, Z Wang, K Zheng Proceedings of the 29th ACM international conference on information …, 2020 | 251 | 2020 |
| Popularity bias is not always evil: Disentangling benign and harmful bias for recommendation Z Zhao, J Chen, S Zhou, X He, X Cao, F Zhang, W Wu IEEE Transactions on Knowledge and Data Engineering 35 (10), 9920-9931, 2022 | 77 | 2022 |
| Are you influenced by others when rating? Improve rating prediction by conformity modeling Y Liu, X Cao, Y Yu Proceedings of the 10th ACM conference on recommender systems, 269-272, 2016 | 71 | 2016 |
| DisenKGAT: knowledge graph embedding with disentangled graph attention network J Wu, W Shi, X Cao, J Chen, W Lei, F Zhang, W Wu, X He Proceedings of the 30th ACM international conference on information …, 2021 | 67 | 2021 |
| Table fact verification with structure-aware transformer H Zhang, Y Wang, S Wang, X Cao, F Zhang, Z Wang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 60 | 2020 |
| Combining factorization model and additive forest for collaborative followee recommendation T Chen, L Tang, Q Liu, D Yang, S Xie, X Cao, C Wu, E Yao, Z Liu, Z Jiang, ... KDD CUP, 2012 | 60 | 2012 |
| A machine learning approach to prevent malicious calls over telephony networks H Li, X Xu, C Liu, T Ren, K Wu, X Cao, W Zhang, Y Yu, D Song 2018 IEEE Symposium on Security and Privacy (SP), 53-69, 2018 | 56 | 2018 |
| BASS: A bootstrapping approach for aligning heterogenous social networks X Cao, Y Yu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 38 | 2016 |
| A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily P Ding, J Kuang, D Ma, X Cao, Y Xian, J Chen, S Huang arXiv preprint arXiv:2311.08268, 2023 | 37 | 2023 |
| Adap-τ: Adaptively modulating embedding magnitude for recommendation J Chen, J Wu, J Wu, X Cao, S Zhou, X He Proceedings of the ACM Web Conference 2023, 1085-1096, 2023 | 25 | 2023 |
| Neural link prediction over aligned networks X Cao, H Chen, X Wang, W Zhang, Y Yu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 24 | 2018 |
| ASNets: A benchmark dataset of aligned social networks for cross-platform user modeling X Cao, Y Yu Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 21 | 2016 |
| News comments generation via mining microblogs X Cao, K Chen, R Long, G Zheng, Y Yu Proceedings of the 21st International Conference on World Wide Web, 471-472, 2012 | 21 | 2012 |
| Revealing multiple layers of hidden community structure in networks K He, S Soundarajan, X Cao, J Hopcroft, M Huang arXiv preprint arXiv:1501.05700, 2015 | 20 | 2015 |
| Joint user modeling across aligned heterogeneous sites X Cao, Y Yu Proceedings of the 10th ACM Conference on Recommender Systems, 83-90, 2016 | 12 | 2016 |
| Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning X Cao, W Huang, Y Yu 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1681-1686, 2015 | 12 | 2015 |
| Meta-learning triplet network with adaptive margins for few-shot named entity recognition C Han, R Zhu, J Kuang, FJ Chen, X Li, M Gao, X Cao, W Wu arXiv preprint arXiv:2302.07739, 2023 | 9 | 2023 |
| A bootstrapping framework with interactive information modeling for network alignment X Cao, W Zhang, Y Yu IEEE Access 6, 13685-13696, 2018 | 7 | 2018 |
| Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks X Cao, Y Yu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 5 | 2017 |
| Collaborative filtering with graph-based implicit feedback M Niu, R Tang, Y Qu, X He, X Cao, Y Yu 2018 IEEE 3rd International Conference on Cloud Computing and Internet of …, 2018 | 4 | 2018 |
Yong Yu (俞勇)Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
