| Bayesian model averaging using the k-best Bayesian network structures J Tian, R He, L Ram arXiv preprint arXiv:1203.3520, 2012 | 52 | 2012 |
| Computing posterior probabilities of structural features in Bayesian networks J Tian, R He arXiv preprint arXiv:1205.2612, 2012 | 33 | 2012 |
| A bounded statistical approach for model checking of unbounded until properties R He, P Jennings, S Basu, AP Ghosh, H Wu Proceedings of the 25th IEEE/ACM International Conference on Automated …, 2010 | 30 | 2010 |
| Structure learning in Bayesian networks of a moderate size by efficient sampling R He, J Tian, H Wu Journal of Machine Learning Research 17, 1-54, 2016 | 20 | 2016 |
| Approximate model checking of PCTL involving unbounded path properties S Basu, AP Ghosh, R He Formal Methods and Software Engineering: 11th International Conference on …, 2009 | 18 | 2009 |
| Progressively stacking 2.0: A multi-stage layerwise training method for bert training speedup C Yang, S Wang, C Yang, Y Li, R He, J Zhang arXiv preprint arXiv:2011.13635, 2020 | 10 | 2020 |
| Session analysis of people search within a professional social network R He, J Wang, J Tian, CT Chu, B Mauney, I Perisic Journal of the American Society for Information Science and Technology 64 (5 …, 2013 | 7 | 2013 |
| SAS: self-augmented strategy for language model pre-training. Y Xu, J Zhang, R He, L Ge, C Yang, YN Wu AAAI Conference on Artificial Intelligence, 2022 | 1 | 2022 |
| PEER: Pre-training ELECTRA Extended by Ranking R He, W Wang, S Huang, F Huang Findings of the Association for Computational Linguistics: ACL 2023, 6475-6491, 2023 | | 2023 |
| GUIM--General User and Item Embedding with Mixture of Representation in E-commerce C Yang, R He, F Lin, S Song, J Zhang, C Yang arXiv preprint arXiv:2207.00750, 2022 | | 2022 |
| SAS: Self-Augmentation Strategy for Language Model Pre-training Y Xu, J Zhang, R He, L Ge, C Yang, C Yang, YN Wu AAAI Conference on Artificial Intelligence, 2022 | | 2022 |
| Structure learning in Bayesian networks and session analysis of people search within a professional social network R He | | 2014 |
| Web application model R He Supplementary Proceedings of International Symposium on Software Reliability …, 2002 | | 2002 |
| Pre-training Model Product and Processing Method, Electronic Device and Storage Medium R He, W Wang, S Huang, F Huang CN Patent App. 202,310,464,544, 0 | | |
| Data Model Training and Data Processing Method and Device, Equipment and Storage Medium C Yang, R He, F Lin, J Zhang, C Yang, S Song CN Patent App. 202,010,334,097, 0 | | |
| Item-Oriented User Representation Approach to Address Diverse Interests in Item Cold-Start Recommendation F Lin, R He, Y Li, J Zhang, C Yang CN Patent App. 201,910,760,394, 0 | | |
| Demand Forecasting via Direct Quantile Loss Optimization Using Neural Networks K Torkkola, R He, WY Hua, AM Lamb, B Narayanaswamy, Z Cen US Patent App. P36,059, 0 | | |
| On Approximate Probabilistic Model Checking of Unbounded Until Properties R He, AP Ghosh, S Basu | | |
| Structure Learning in Bayesian Networks of Moderate Size by Efficient Sampling (Supplementary Material) R He, J Tian, H Wu | | |
Jin TianIowa State UniversityVerified email at iastate.edu
