| Graph topic scan statistic for spatial event detection Y Liu, B Zhou, F Chen, DW Cheung Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 22 | 2016 |
| A generic framework for interesting subspace cluster detection in multi-attributed networks F Chen, B Zhou, A Alim, L Zhao 2017 IEEE International Conference on Data Mining (ICDM), 41-50, 2017 | 21 | 2017 |
| A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. F Chen, B Zhou IJCAI, 1389-1395, 2016 | 21 | 2016 |
| Graph-structured sparse optimization for connected subgraph detection B Zhou, F Chen 2016 IEEE 16th International Conference on Data Mining (ICDM), 709-718, 2016 | 17 | 2016 |
| Efficient nonparametric subgraph detection using tree shaped priors N Wu, F Chen, J Li, B Zhou, N Ramakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 16 | 2016 |
| Subset node representation learning over large dynamic graphs X Guo, B Zhou, S Skiena Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 12 | 2021 |
| Subset node anomaly tracking over large dynamic graphs X Guo, B Zhou, S Skiena Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 9 | 2022 |
| Stochastic iterative hard thresholding for graph-structured sparsity optimization B Zhou, F Chen, Y Ying International Conference on Machine Learning, 7563-7573, 2019 | 9 | 2019 |
| A nonparametric approach to uncovering connected anomalies by tree shaped priors N Wu, F Chen, J Li, J Huai, B Zhou, N Ramakrishnan IEEE Transactions on Knowledge and Data Engineering 31 (10), 1849-1862, 2018 | 9 | 2018 |
| Online AUC optimization for sparse high-dimensional datasets B Zhou, Y Ying, S Skiena 2020 IEEE International Conference on Data Mining (ICDM), 881-890, 2020 | 8 | 2020 |
| Dual averaging method for online graph-structured sparsity B Zhou, F Chen, Y Ying Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 7 | 2019 |
| Stochastic hard thresholding algorithms for AUC maximization Z Yang, B Zhou, Y Lei, Y Ying 2020 IEEE International Conference on Data Mining (ICDM), 741-750, 2020 | 6 | 2020 |
| Parallel algorithms for anomalous subgraph detection J Zhao, J Li, B Zhou, F Chen, P Tomchik, W Ju Concurrency and Computation: Practice and Experience 29 (3), e3769, 2017 | 6 | 2017 |
| Elastic resource allocation in the cloud J Wu, B Zhou, D Qian, M Xie, W Chen 2013 IEEE 16th International Conference on Computational Science and …, 2013 | 6 | 2013 |
| Using paralleled-PEs method to resolve the bursting data in distributed stream processing system B Zhou, Z Luan, J Wu, M Xie 2013 IEEE 16th International Conference on Computational Science and …, 2013 | 3 | 2013 |
| PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications B Hu, B Zhou, Q Yan, A Alim, F Chen, H Zeng 2018 IEEE Conference on Communications and Network Security (CNS), 1-9, 2018 | 2 | 2018 |
| Technical report: Graph-structured sparse optimization for connected subgraph detection B Zhou, F Chen arXiv preprint arXiv:1609.09864, 2016 | 2 | 2016 |
| Accelerating Personalized PageRank Vector Computation Z Chen, X Guo, B Zhou, D Yang, S Skiena Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Detecting Media Self-Censorship without Explicit Training Data R Tao, B Zhou, F Chen, D Mares, P Butler, N Ramakrishnan, R Kennedy Proceedings of the 2020 SIAM International Conference on Data Mining, 550-558, 2020 | 1 | 2020 |
| Can Self-Censorship in News Media be Detected Algorithmically? A Case Study in Latin America R Tao, B Zhou, F Chen, N Liu, D Mares, P Butler, N Ramakrishnan arXiv preprint arXiv:1611.06947, 2016 | 1 | 2016 |
Feng ChenDepartment of Computer Science, UT DallasПотвърден имейл адрес: utdallas.edu
