| Virtual network embedding through topology-aware node ranking X Cheng, S Su, Z Zhang, H Wang, F Yang, Y Luo, J Wang ACM SIGCOMM Computer Communication Review 41 (2), 38-47, 2011 | 697 | 2011 |
| A unified enhanced particle swarm optimization‐based virtual network embedding algorithm Z Zhang, X Cheng, S Su, Y Wang, K Shuang, Y Luo International Journal of Communication Systems 26 (8), 1054-1073, 2013 | 159 | 2013 |
| Virtual network embedding through topology awareness and optimization X Cheng, S Su, Z Zhang, K Shuang, F Yang, Y Luo, J Wang Computer Networks 56 (6), 1797-1813, 2012 | 158 | 2012 |
| Energy-aware virtual network embedding S Su, Z Zhang, AX Liu, X Cheng, Y Wang, X Zhao IEEE/ACM Transactions on Networking 22 (5), 1607-1620, 2014 | 145 | 2014 |
| Cost-conscious scheduling for large graph processing in the cloud J Li, S Su, X Cheng, Q Huang, Z Zhang International Conference on High Performance Computing and Communications …, 2011 | 105 | 2011 |
| Energy-aware virtual network embedding through consolidation S Su, Z Zhang, X Cheng, Y Wang, Y Luo, J Wang International Conference on Computer Communications Workshops (INFOCOM …, 2012 | 85 | 2012 |
| Community-based seeds selection algorithm for location-aware influence maximization X Li, X Cheng, S Su, C Sun Neurocomputing 275, 1601-1613, 2018 | 80 | 2018 |
| Differentially Private Frequent Itemset Mining via Transaction Splitting S Su, S Xu, X Cheng, Z Li, F Yang IEEE Transactions on Knowledge and Data Engineering (TKDE) 27 (7), 1875 - 1891, 2015 | 76 | 2015 |
| Knowledge-based question answering by tree-to-sequence learning S Zhu, X Cheng, S Su Neurocomputing 372, 64-72, 2020 | 65 | 2020 |
| Hierarchical complementary attention network for predicting stock price movements with news Q Liu, X Cheng, S Su, S Zhu Proceedings of the 27th ACM International Conference on Information and …, 2018 | 61 | 2018 |
| Energy aware virtual network embedding with dynamic demands: Online and offline Z Zhang, S Su, J Zhang, K Shuang, P Xu Computer Networks 93, 448-459, 2015 | 61* | 2015 |
| DP-Apriori: A differentially private frequent itemset mining algorithm based on transaction splitting X Cheng, S Su, S Xu, Z Li Computers & Security 50, 74-90, 2015 | 58 | 2015 |
| Differentially private frequent sequence mining S Xu, X Cheng, S Su, K Xiao, L Xiong IEEE Transactions on Knowledge and Data Engineering (TKDE) 28 (11), 2910-2926, 2016 | 56 | 2016 |
| Privacy-Preserving Top-k Spatial Keyword Queries in Untrusted Cloud Environments S Su, Y Teng, X Cheng, K Xiao, G Li, JL Chen IEEE Transactions on Services Computing (TSC), 2015 | 53 | 2015 |
| A hybrid collaborative filtering model for social influence prediction in event-based social networks X Li, X Cheng, S Su, S Li, J Yang Neurocomputing 230, 197-209, 2017 | 50 | 2017 |
| Differentially private multi-party high-dimensional data publishing S Su, P Tang, X Cheng, R Chen, Z Wu dimensional data publishing, 205-216, 2016 | 45 | 2016 |
| Answering multi-dimensional range queries under local differential privacy J Yang, T Wang, N Li, X Cheng, S Su International Conference on Very Large Data Bases (VLDB) 2021, 2020 | 42 | 2020 |
| Differentially Private Frequent Sequence Mining via Sampling-based Candidate Pruning S Xu, S Su, X Cheng, Z Li, L Xiong International Conference on Data Engineering (ICDE) 2015, 2015 | 42* | 2015 |
| Reducing Operational Costs through Consolidation with Resource Prediction in the Cloud J Li, K Shuang, S Su, Q Huang, P Xu, X Cheng, J Wang International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2012 …, 2012 | 41 | 2012 |
| Multi-Party High-Dimensional Data Publishing under Differential Privacy X Cheng, P Tang, S Su, R Chen, Z Wu, B Zhu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 | 40 | 2019 |
sen suProfessor of Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
