| EigenTransfer: A Unified Framework for Transfer Learning YY Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang Proceedings of the 26th international conference on Machine learning, 2009 | 2556* | 2009 |
| Transfer learning SJ Pan Learning 21, 1-2, 2020 | 730 | 2020 |
| Taking human out of learning applications: A survey on automated machine learning Q Yao, M Wang, Y Chen, W Dai, YF Li, WW Tu, Q Yang, Y Yu arXiv preprint arXiv:1810.13306 31, 2018 | 645 | 2018 |
| Transferring naive bayes classifiers for text classification W Dai, GR Xue, Q Yang, Y Yu AAAI 7, 540-545, 2007 | 577 | 2007 |
| Co-clustering based classification for out-of-domain documents W Dai, GR Xue, Q Yang, Y Yu Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 523 | 2007 |
| Translated learning: Transfer learning across different feature spaces W Dai, Y Chen, GR Xue, Q Yang, Y Yu Advances in neural information processing systems 21, 2008 | 402 | 2008 |
| Self-taught clustering W Dai, Q Yang, GR Xue, Y Yu Proceedings of the 25th international conference on Machine learning, 200-207, 2008 | 355 | 2008 |
| Topic-bridged PLSA for cross-domain text classification GR Xue, W Dai, Q Yang, Y Yu Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 286 | 2008 |
| Telco churn prediction with big data Y Huang, F Zhu, M Yuan, K Deng, Y Li, B Ni, W Dai, Q Yang, J Zeng Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 201 | 2015 |
| Heterogeneous transfer learning for image clustering via the socialweb Q Yang, Y Chen, GR Xue, W Dai, Y Yu Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 193 | 2009 |
| Spectral domain-transfer learning X Ling, W Dai, GR Xue, Q Yang, Y Yu Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 184 | 2008 |
| Can chinese web pages be classified with english data source? X Ling, GR Xue, W Dai, Y Jiang, Q Yang, Y Yu Proceedings of the 17th international conference on World Wide Web, 969-978, 2008 | 134 | 2008 |
| Autocross: Automatic feature crossing for tabular data in real-world applications Y Luo, M Wang, H Zhou, Q Yao, WW Tu, Y Chen, W Dai, Q Yang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 126 | 2019 |
| AutoSF: Searching scoring functions for knowledge graph embedding Y Zhang, Q Yao, W Dai, L Chen 2020 IEEE 36th International Conference on Data Engineering (ICDE), 433-444, 2020 | 115 | 2020 |
| Bridged Refinement for Transfer Learning D Xing, W Dai, GR Xue, Y Yu Knowledge discovery in databases: PKDD 2007, 11th European Conference on …, 2007 | 104* | 2007 |
| 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 | 65 | 2015 |
| Network on network for tabular data classification in real-world applications Y Luo, H Zhou, WW Tu, Y Chen, W Dai, Q Yang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 47 | 2020 |
| Multi-fidelity automatic hyper-parameter tuning via transfer series expansion YQ Hu, Y Yu, WW Tu, Q Yang, Y Chen, W Dai Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3846-3853, 2019 | 40 | 2019 |
| Optimizing in-memory database engine for AI-powered on-line decision augmentation using persistent memory C Chen, J Yang, M Lu, T Wang, Z Zheng, Y Chen, W Dai, B He, WF Wong, ... Proceedings of the VLDB Endowment 14 (5), 799-812, 2021 | 34 | 2021 |
| OceanST: A distributed analytic system for large-scale spatiotemporal mobile broadband data M Yuan, K Deng, J Zeng, Y Li, B Ni, X He, F Wang, W Dai, Q Yang Proceedings of the VLDB Endowment 7 (13), 1561-1564, 2014 | 32 | 2014 |