| A scalable data science workflow approach for big data bayesian network learning J Wang, Y Tang, M Nguyen, I Altintas 2014 IEEE/ACM International Symposium on Big Data Computing, 16-25, 2014 | 46 | 2014 |
| A Hybrid Clustering Algorithm Based on Fuzzy c-Means and Improved Particle Swarm Optimization S Chen, Z Xu, Y Tang Arabian Journal for Science and Engineering 39, 8875-8887, 2014 | 43 | 2014 |
| Towards big data Bayesian network learning-an ensemble learning based approach Y Tang, Y Wang, KML Cooper, L Li 2014 IEEE International Congress on Big Data, 355-357, 2014 | 34 | 2014 |
| Deep hybrid knowledge graph embedding for top-n recommendation J Li, Z Xu, Y Tang, B Zhao, H Tian Web Information Systems and Applications: 17th International Conference …, 2020 | 29 | 2020 |
| Changes in phenolic compounds and antioxidant activity during development of ‘Qiangcuili’and ‘Cuihongli’fruit H Zhang, J Pu, Y Tang, M Wang, K Tian, Y Wang, X Luo, Q Deng Foods 11 (20), 3198, 2022 | 22 | 2022 |
| CKGAT: Collaborative knowledge-aware graph attention network for top-n recommendation Z Xu, H Liu, J Li, Q Zhang, Y Tang Applied Sciences 12 (3), 1669, 2022 | 21 | 2022 |
| An improved particle swarm optimization algorithm based on centroid and exponential inertia weight S Chen, Z Xu, Y Tang, S Liu Mathematical Problems in Engineering 2014 (1), 976486, 2014 | 16 | 2014 |
| DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity T Gao, W Bao, J Li, X Gao, B Kong, Y Tang, G Chen, X Li International Conference on Database and Expert Systems Applications, 283-299, 2018 | 13 | 2018 |
| Bayesian network structure learning from big data: A reservoir sampling based ensemble method Y Tang, Z Xu, Y Zhuang Database Systems for Advanced Applications: DASFAA 2016 International …, 2016 | 13 | 2016 |
| Requirement engineering techniques selection and modeling an expert system based approach Y Tang, K Feng, K Cooper, J Cangussu 2009 International Conference on Machine Learning and Applications, 705-709, 2009 | 13 | 2009 |
| Penbayes: a multi-layered ensemble approach for learning Bayesian network structure from big data Y Tang, J Wang, M Nguyen, I Altintas Sensors 19 (20), 4400, 2019 | 12 | 2019 |
| Sentiment-aware short text classification based on convolutional neural network and attention Z Chen, Y Tang, Z Zhang, C Zhang, L Wang 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 11 | 2019 |
| Is danmaku an effective way for promoting event based social network? Y Tang, Y Gong, L Xu, Q Zhang, H Liu, S Wang, Q Wang, X Gao Companion of the 2017 ACM Conference on Computer Supported Cooperative Work …, 2017 | 11 | 2017 |
| Effective knowledge-aware recommendation via graph convolutional networks B Zhao, Z Xu, Y Tang, J Li, B Liu, H Tian Web Information Systems and Applications: 17th International Conference …, 2020 | 10 | 2020 |
| A credit scoring model based on bayesian network and mutual information Y Zhuang, Z Xu, Y Tang 2015 12th Web Information System and Application Conference (WISA), 281-286, 2015 | 10 | 2015 |
| Developing a survey to collect expertise in agile product line requirements engineering K Feng, M Lempert, Y Tang, K Tian, K Cooper, X Franch Agile 2007 Conference, International Research-in-Progress Workshop on Agile …, 2007 | 9 | 2007 |
| Integrating users’ long-and short-term preferences for session-based recommendation H Liu, Z Xu, Q Zhang, Y Tang 2022 IEEE 25th International Conference on Computer Supported Cooperative …, 2022 | 7 | 2022 |
| ESAP: a novel approach for cross-platform event dissemination trend analysis between social network and search engine Y Tang, P Ma, B Kong, W Ji, X Gao, X Peng Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016 | 7 | 2016 |
| KGAT-SR: Knowledge-enhanced graph attention network for session-based recommendation Q Zhang, Z Xu, H Liu, Y Tang 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 6 | 2021 |
| A score based approach towards improving bayesian network structure learning Y Tang, Z Xu 2014 Second International Conference on Advanced Cloud and Big Data, 39-44, 2014 | 6 | 2014 |
Jianwu WangProfessor of Data Science, University of Maryland Baltimore CountyGeverifieerd e-mailadres voor umbc.edu