Publications
2022
2021
2020
2019
Baojian Zhou, Feng Chen, Yiming Ying, Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization, International Conference on Machine Learning, ICML, 2019, Webpage, Paper, ArXiv, Slides, Poster
2018
Boyang Hu*, Baojian Zhou*, Qiben Yan, Alim Adil, Feng Chen, and Huacheng Zeng, Naifeng Liu, David Mares, Patrick Butler, Naren Ramakrishnan. PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications, 2018. In Proceedings of the IEEE International Conference on Computer Communications and Network Security (CNS), 2018.
2017
2016
Baojian Zhou, and Feng, Chen. Graph-Structured Sparse Optimization for Connected Subgraph Detection, IEEE International Conference on Data Mining, ICDM,Code, Paper, Regular paper; acceptance rate: 8.4%.
Feng Chen, and Baojian Zhou. A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI, 2016.Code, arXiv.
Yu Liu, Baojian Zhou, Feng Chen, and David W. Cheung. Graph Topic Scan Statistic for Spatial Event Detection. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM, 2016, Paper, Long paper, acceptance rate: 17.6%.
Wu, Nannan, Feng Chen, Jianxin Li, Baojian Zhou, and Naren Ramakrishnan. Efficient Nonparametric Subgraph Detection using Tree Shaped Priors, In Thirtieth AAAI Conference on Artificial Intelligence, AAAI, 2016, Paper.
Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju. Parallel Algorithms for Anomalous Subgraph Detection, In Journal of Concurrency and Computation: Practice and Experience, 2016.
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