Publications

Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao, Iterative Methods via Locally Evolving Set Process, NeurIPS.

Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao, Faster Local Solvers for Graph Diffusion Equations, NeurIPS.

Baojian Zhou and Steven Skiena. Does it pay to optimize AUC? AAAI, arXiv, Code, 2023.
Baojian Zhou, Yifan Sun, and Reza Bahanezhad. Fast Online Labeling for Very Large Graphs. ICML, arXiv, Code, 2023.
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, and Steven Skiena. Accelerating Personalized PageRank Vector Computation. KDD, arXiv, Code, 2023.
Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang. SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. IEEE International Conference on Data Mining Workshops (ICDMW) arXiv, Code, 2023.

Zhou, Baojian, and Yifan Sun. Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets, In International Conference on Machine Learning (ICML), pp. 27303-27337. PMLR, ArXiv, 2022, Code.

Guo, Xingzhi, Baojian Zhou, and Steven Skiena. Subset Node Anomaly Tracking over Large Dynamic Graphs. arXiv preprint arXiv:2205.09786, ArXiv, 2022.

Guo, Xingzhi, Baojian Zhou, and Steven Skiena. Subset Node Representation Learning over Large Dynamic Graphs https:dl.acm.orgdoi10.1145/3447548.3467393 Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD, 2021. Code

Xingzhi Guo and Baojian Zhou and Haochen Chen and Sergiy Verstyuk and Steven Skiena. Why do embedding spaces look as they do?, 2021

Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying, Stochastic Hard Thresholding Algorithms for AUC Maximization, ICDM, 2020, Code, ArXiv

Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy Detecting Media Self-Censorship without Explicit Training Data, SDM, 2020

Baojian Zhou, Feng Chen, Yiming Ying, Dual Averaging Method for Online Graph-structured Sparsity, The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD, 2019,Webpage, ArXiv

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.

Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li, Naren Ramakrishnan, A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors, 2018. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.

Feng Chen, Baojian Zhou*, Adil Alim*, and Liang Zhao. A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks, In Proceedings of the IEEE International Conference on Data Mining (ICDM), pages 41-50, 2017 arXiv, Code.

Rongrong Tao, Baojian Zhou, Feng Chen, Naifeng Liu, David Mares, Patrick Butler, Naren Ramakrishnan. Can Self-Censorship in News Media be Detected Algorithmically? A Case Study in Latin America, arXiv

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.