| Privacy-preserving data publishing: A survey of recent developments BCM Fung, K Wang, R Chen, PS Yu ACM Computing Surveys (CSUR) 42 (4), 14, 2010 | 2463 | 2010 |
| Differentially private data release for data mining N Mohammed, R Chen, B Fung, PS Yu Proceedings of the 17th ACM SIGKDD International Conference on Knowledge …, 2011 | 482 | 2011 |
| Differentially private transit data publication: a case study on the montreal transportation system R Chen, BCM Fung, BC Desai, NM Sossou Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 443 | 2012 |
| Differentially private sequential data publication via variable-length n-grams R Chen, G Acs, C Castelluccia Proceedings of the 2012 ACM Conference on Computer and Communications …, 2012 | 384 | 2012 |
| Privacy-preserving trajectory data publishing by local suppression R Chen, BCM Fung, N Mohammed, BC Desai, K Wang Information Sciences 231, 83-97, 2013 | 323 | 2013 |
| Publishing set-valued data via differential privacy R Chen, N Mohammed, BCM Fung, BC Desai, L Xiong Proceedings of the VLDB Endowment 4 (11), 1087-1098, 2011 | 308 | 2011 |
| Correlated network data publication via differential privacy R Chen, BCM Fung, SP Yu, BC Desai The VLDB Journal 23 (4), 653-676, 2014 | 277 | 2014 |
| Towards deeper graph neural networks with differentiable group normalization K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu Advances in neural information processing systems 33, 4917-4928, 2020 | 240 | 2020 |
| Differentially private histogram publishing through lossy compression G Acs, C Castelluccia, R Chen Proceedings of the 12th IEEE International Conference on Data Mining (ICDM …, 2012 | 226 | 2012 |
| Differentially private high-dimensional data publication via sampling-based inference R Chen, Q Xiao, Y Zhang, J Xu Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and …, 2015 | 223 | 2015 |
| Private spatial data aggregation in the local setting R Chen, H Li, AK Qin, SP Kasiviswanathan, H Jin Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), 2016 | 210 | 2016 |
| Auto-gnn: Neural architecture search of graph neural networks XH Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen Frontiers in big Data 5, 1029307, 2022 | 200 | 2022 |
| Differentially private network data release via structural inference Q Xiao, R Chen, KL Tan Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 187 | 2014 |
| Towards Accurate Histogram Publication under Differential Privacy X Zhang, R Chen, J Xu, X Meng, Y Xie Proceedings of the 14th SIAM International Conference on Data Mining (SDM), 2014 | 133 | 2014 |
| Dirichlet energy constrained learning for deep graph neural networks K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu Advances in Neural Information Processing Systems 34, 21834-21846, 2021 | 130 | 2021 |
| S2gae: Self-supervised graph autoencoders are generalizable learners with graph masking Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 101 | 2023 |
| Anonymizing trajectory data for passenger flow analysis M Ghasemzadeh, BCM Fung, R Chen, A Awasthi Transportation research part C: emerging technologies 39, 63-79, 2014 | 81 | 2014 |
| IoT device friendly and communication-efficient federated learning via joint model pruning and quantization P Prakash, J Ding, R Chen, X Qin, M Shu, Q Cui, Y Guo, M Pan IEEE Internet of Things Journal 9 (15), 13638-13650, 2022 | 70 | 2022 |
| Privacy-preserving heterogeneous health data sharing N Mohammed, X Jiang, R Chen, BCM Fung, L Ohno-Machado Journal of the American Medical Informatics Association 20 (3), 462-469, 2013 | 64 | 2013 |
| EXACT: Scalable graph neural networks training via extreme activation compression Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu International Conference on Learning Representations, 2021 | 62 | 2021 |
Benjamin C. M. FungCanada Research Chair & Professor, School of Information Studies, McGill Universitymcgill.ca의 이메일 확인됨
