| Decision-theoretic control of crowd-sourced workflows P Dai, D Weld Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1168-1174, 2010 | 228 | 2010 |
| Pomdp-based control of workflows for crowdsourcing P Dai, CH Lin, DS Weld Artificial Intelligence 202, 52-85, 2013 | 150 | 2013 |
| Artificial intelligence for artificial artificial intelligence P Dai, D Weld Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1153-1160, 2011 | 110* | 2011 |
| And now for something completely different: Improving crowdsourcing workflows with micro-diversions P Dai, JM Rzeszotarski, P Paritosh, EH Chi Proceedings of the 18th ACM Conference on Computer Supported Cooperative …, 2015 | 98 | 2015 |
| Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye Proceedings of the AAAI conference on artificial intelligence 35 (5), 4115-4122, 2021 | 88 | 2021 |
| Topological Value Iteration Algorithm for Markov Decision Processes. P Dai, J Goldsmith IJCAI, 1860-1865, 2007 | 85 | 2007 |
| Traffic flow forecasting with spatial-temporal graph diffusion network X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng Proceedings of the AAAI conference on artificial intelligence 35 (17), 15008 …, 2021 | 83 | 2021 |
| Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4486-4493, 2021 | 82 | 2021 |
| Heterogeneous deep graph infomax Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang arXiv preprint arXiv:1911.08538, 2019 | 78 | 2019 |
| Topological value iteration algorithms P Dai, DS Weld, J Goldsmith Journal of Artificial Intelligence Research 42, 181-209, 2011 | 76* | 2011 |
| Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 70 | 2021 |
| Inserting micro-breaks into crowdsourcing workflows J Rzeszotarski, E Chi, P Paritosh, P Dai Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 61 | 2013 |
| Multiplex behavioral relation learning for recommendation via memory augmented transformer network L Xia, C Huang, Y Xu, P Dai, B Zhang, L Bo Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 55 | 2020 |
| Graph-enhanced multi-task learning of multi-level transition dynamics for session-based recommendation C Huang, J Chen, L Xia, Y Xu, P Dai, Y Chen, L Bo, J Zhao, JX Huang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4123-4130, 2021 | 51 | 2021 |
| Reverse iterative deepening for finite-horizon MDPs with large branching factors A Kolobov, P Dai, M Mausam, DS Weld Twenty-Second International Conference on Automated Planning and Scheduling, 2012 | 50* | 2012 |
| Human intelligence needs artificial intelligence DS Weld, P Dai Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011 | 38* | 2011 |
| AppGrouper: Knowledge-based interactive clustering tool for app search results S Chang, P Dai, L Hong, C Sheng, T Zhang, EH Chi Proceedings of the 21st International Conference on Intelligent User …, 2016 | 34 | 2016 |
| Prioritizing Bellman Backups without a Priority Queue. P Dai, EA Hansen ICAPS, 113-119, 2007 | 34 | 2007 |
| Social recommendation with self-supervised metagraph informax network X Long, C Huang, Y Xu, H Xu, P Dai, L Xia, L Bo Proceedings of the 30th ACM International Conference on Information …, 2021 | 33 | 2021 |
| Ensemfdet: An ensemble approach to fraud detection based on bipartite graph Y Ren, H Zhu, J Zhang, P Dai, L Bo 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2039-2044, 2021 | 24 | 2021 |
Liefeng BoHead of XR Lab at Alibaba Group在 cs.washington.edu 的电子邮件经过验证
