One-class collaborative filtering R Pan, Y Zhou, B Cao, NN Liu, R Lukose, M Scholz, Q Yang 2008 Eighth IEEE international conference on data mining, 502-511, 2008 | 1308 | 2008 |
Large-scale parallel collaborative filtering for the netflix prize Y Zhou, D Wilkinson, R Schreiber, R Pan Algorithmic Aspects in Information and Management: 4th International …, 2008 | 1089 | 2008 |
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering R Pan, M Scholz Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 193 | 2009 |
Query enrichment for web-query classification D Shen, R Pan, JT Sun, JJ Pan, K Wu, J Yin, Q Yang ACM Transactions on Information Systems (TOIS) 24 (3), 320-352, 2006 | 185 | 2006 |
Q2C@UST: our winning solution to query classification in KDDCUP 2005 D Shen, R Pan, JT Sun, JJ Pan, K Wu, J Yin, Q Yang ACM SIGKDD Explorations Newsletter 7 (2), 100-110, 2005 | 147 | 2005 |
Extracting actionable knowledge from decision trees Q Yang, J Yin, C Ling, R Pan Knowledge and Data Engineering, IEEE Transactions on 19 (1), 43-56, 2007 | 141 | 2007 |
Incorporating gan for negative sampling in knowledge representation learning P Wang, S Li, R Pan Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 139 | 2018 |
Logic attention based neighborhood aggregation for inductive knowledge graph embedding P Wang, J Han, C Li, R Pan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7152-7159, 2019 | 132 | 2019 |
Incentive mechanism for horizontal federated learning based on reputation and reverse auction J Zhang, Y Wu, R Pan Proceedings of the Web Conference 2021, 947-956, 2021 | 115 | 2021 |
Test-cost sensitive classification on data with missing values Q Yang, C Ling, X Chai, R Pan Knowledge and Data Engineering, IEEE Transactions on 18 (5), 626-638, 2006 | 84 | 2006 |
A simple recipe towards reducing hallucination in neural surface realisation F Nie, JG Yao, J Wang, R Pan, CY Lin Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 82 | 2019 |
Mining competent case bases for case-based reasoning R Pan, Q Yang, SJ Pan Artificial Intelligence 171 (16-17), 1039-1068, 2007 | 70 | 2007 |
Bi-Weighting Domain Adaptation for Cross-Language Text Classification C Wan, R Pan, J Li Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 69 | 2011 |
Operations guided neural networks for high fidelity data-to-text generation F Nie, J Wang, JG Yao, R Pan, CY Lin arXiv preprint arXiv:1809.02735, 2018 | 65 | 2018 |
Adaptive social similarities for recommender systems L Yu, R Pan, Z Li Proceedings of the fifth ACM conference on Recommender systems, 257-260, 2011 | 62 | 2011 |
Incorporating graph attention mechanism into knowledge graph reasoning based on deep reinforcement learning H Wang, S Li, R Pan, M Mao Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 56 | 2019 |
Personalized tag recommendation through nonlinear tensor factorization using gaussian kernel X Fang, R Pan, G Cao, X He, W Dai Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 53 | 2015 |
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Y Wu, Y Kang, J Luo, Y He, L Fan, R Pan, Q Yang Thirty-First International Joint Conference on Artificial Intelligence …, 2022 | 51 | 2022 |
Improving recommendations by the clustering of tag neighbours R Pan, G Xu, B Fu, P Dolog, Z Wang, M Leginus J. Converg 3 (1), 2012 | 40 | 2012 |
Mention and entity description co-attention for entity disambiguation F Nie, Y Cao, J Wang, CY Lin, R Pan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 36 | 2018 |