| Semi-supervised entity alignment via knowledge graph embedding with awareness of degree difference S Pei, L Yu, R Hoehndorf, X Zhang The world wide web conference, 3130-3136, 2019 | 140 | 2019 |
| Collaborative User Network Embedding for Social Recommender Systems C Zhang, L Yu, Y Wang, C Shah, X Zhang Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), 2017 | 119 | 2017 |
| Multi-order attentive ranking model for sequential recommendation L Yu, C Zhang, S Liang, X Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 5709-5716, 2019 | 110 | 2019 |
| Camel: Content-aware and meta-path augmented metric learning for author identification C Zhang, C Huang, L Yu, X Zhang, NV Chawla Proceedings of the 2018 World Wide Web Conference, 709-718, 2018 | 59 | 2018 |
| Rea: Robust cross-lingual entity alignment between knowledge graphs S Pei, L Yu, G Yu, X Zhang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 56 | 2020 |
| Improving cross-lingual entity alignment via optimal transport S Pei, L Yu, X Zhang International Joint Conferences on Artificial Intelligence, 2019 | 56 | 2019 |
| WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation L Yu, C Zhang, S Pei, G Sun, X Zhang AAAI 2018, 2018 | 56 | 2018 |
| Information filtering via collaborative user clustering modeling CX Zhang, ZK Zhang, L Yu, C Liu, H Liu, XY Yan Physica A: Statistical Mechanics and its Applications 396, 195-203, 2014 | 50 | 2014 |
| TIIREC: A tensor approach for tag-driven item recommendation with sparse user generated content L Yu, J Huang, G Zhou, C Liu, ZK Zhang Information Sciences 411, 122-135, 2017 | 47 | 2017 |
| SAIL: Self-Augmented Graph Contrastive Learning L Yu, S Pei, C Zhang, L Ding, J Zhou, L Li, X Zhang AAAI 2022, 2022 | 37 | 2022 |
| Multi-linear interactive matrix factorization L Yu, C Liu, ZK Zhang Knowledge-Based Systems 85, 307-315, 2015 | 34 | 2015 |
| Few-shot multi-hop relation reasoning over knowledge bases C Zhang, L Yu, M Saebi, M Jiang, N Chawla Association for Computational Linguistics, 2020 | 29 | 2020 |
| Dataset recommendation via variational graph autoencoder B Altaf, U Akujuobi, L Yu, X Zhang 2019 IEEE International Conference on Data Mining (ICDM), 11-20, 2019 | 28 | 2019 |
| Spatio-temporal attention based recurrent neural network for next location prediction B Altaf, L Yu, X Zhang 2018 IEEE International conference on big data (Big Data), 937-942, 2018 | 26 | 2018 |
| Task-guided and semantic-aware ranking for academic author-paper correlation inference C Zhang, L Yu, X Zhang, NV Chawla International Joint Conferences on Artificial Intelligence, 2018 | 25 | 2018 |
| RankMBPR: Rank-aware mutual bayesian personalized ranking for item recommendation L Yu, G Zhou, C Zhang, J Huang, C Liu, ZK Zhang Web-Age Information Management: 17th International Conference, WAIM 2016 …, 2016 | 15 | 2016 |
| A novel approach for generating personalized mention list on micro-blogging system G Zhou, L Yu, CX Zhang, C Liu, ZK Zhang, J Zhang 2015 IEEE international conference on data mining workshop (ICDMW), 1368-1374, 2015 | 15 | 2015 |
| Graph alignment with noisy supervision S Pei, L Yu, G Yu, X Zhang Proceedings of the ACM Web Conference 2022, 1104-1114, 2022 | 14 | 2022 |
| Identifying the academic rising stars via pairwise citation increment ranking C Zhang, C Liu, L Yu, ZK Zhang, T Zhou Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2017 | 12 | 2017 |
| Website-oriented recommendation based on heat spreading and tag-aware collaborative filtering ZK Zhang, L Yu, K Fang, ZQ You, C Liu, H Liu, XY Yan Physica A: statistical mechanics and its applications 399, 82-88, 2014 | 12 | 2014 |
Xiangliang ZhangAssociate Professor, Computer Science and Engineering, University of Notre DameE-mail confirmado em nd.edu
