Baojian Zhou

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 42

Top Topics

Technical Report

Structured Sparsity

Top Venues

Publications

Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. ICDM (Workshops) (2023)
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
Accelerating Personalized PageRank Vector Computation. CoRR (2023)
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
Accelerating Personalized PageRank Vector Computation. KDD (2023)
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh
Fast Online Node Labeling for Very Large Graphs. ICML (2023)
Baojian Zhou, Steven Skiena
Does it pay to optimize AUC? CoRR (2023)
Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. CoRR (2023)
Baojian Zhou, Steven Skiena
Does It Pay to Optimize AUC? AAAI (2023)
Baojian Zhou, Yifan Sun, Reza Babanezhad
Fast Online Node Labeling for Very Large Graphs. CoRR (2023)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Anomaly Tracking over Large Dynamic Graphs. CoRR (2022)
Baojian Zhou, Yifan Sun
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets. ICML (2022)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Anomaly Tracking over Large Dynamic Graphs. KDD (2022)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Representation Learning over Large Dynamic Graphs. CoRR (2021)
Baojian Zhou, Yifan Sun
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets. CoRR (2021)
Xingzhi Guo, Baojian Zhou, Steven Skiena
Subset Node Representation Learning over Large Dynamic Graphs. KDD (2021)
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying
Stochastic Hard Thresholding Algorithms for AUC Maximization. CoRR (2020)
Baojian Zhou, Yiming Ying, Steven Skiena
Online AUC Optimization for Sparse High-Dimensional Datasets. CoRR (2020)
Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy
Detecting Media Self-Censorship without Explicit Training Data. SDM (2020)
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying
Stochastic Hard Thresholding Algorithms for AUC Maximization. ICDM (2020)
Baojian Zhou, Yiming Ying, Steven Skiena
Online AUC Optimization for Sparse High-Dimensional Datasets. ICDM (2020)
Baojian Zhou, Feng Chen, Yiming Ying
Dual Averaging Method for Online Graph-structured Sparsity. CoRR (2019)
Baojian Zhou, Feng Chen, Yiming Ying
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. CoRR (2019)
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. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Baojian Zhou, Feng Chen, Yiming Ying
Dual Averaging Method for Online Graph-structured Sparsity. KDD (2019)
Baojian Zhou, Feng Chen, Yiming Ying
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. ICML (2019)
Boyang Hu, Baojian Zhou, Qiben Yan, Adil Alim, Feng Chen, Huacheng Zeng
PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications. CNS (2018)
Changsheng Chen, Baojian Zhou, Wai Ho Mow
RA Code: A Robust and Aesthetic Code for Resolution-Constrained Applications. IEEE Trans. Circuits Syst. Video Technol. 28 (11) (2018)
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. CoRR (2017)
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. ICDM (2017)
Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju
Parallel algorithms for anomalous subgraph detection. Concurr. Comput. Pract. Exp. 29 (3) (2017)
Baojian Zhou, Jinming Wen, Wai Ho Mow
A Quadratic Programming Relaxation Approach to Compute-and-Forward Network Coding Design. CoRR (2016)
Chenchen Liu, Xiaolin Li, Baojian Zhou, Wai Ho Mow
On the minimum subspace coding capacity of multiplicative finite-field matrix channels with a given rank distribution. APCC (2016)
Juan Qin, Wei Qi, Baojian Zhou
Research on Optimal Selection Strategy of Search Engine Keywords Based on Multi-armed Bandit. HICSS (2016)
Feng Chen, Baojian Zhou
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. CoRR (2016)
Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung
Graph Topic Scan Statistic for Spatial Event Detection. CIKM (2016)
Baojian Zhou, Feng Chen
Graph-Structured Sparse Optimization for Connected Subgraph Detection. ICDM (2016)
Rongrong Tao, Baojian Zhou, Adil Alim, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan
Social Media as a Sensor for Censorship Detection in News Media. CoRR (2016)
Changsheng Chen, Wenjian Huang, Baojian Zhou, Chenchen Liu, Wai Ho Mow
PiCode: A New Picture-Embedding 2D Barcode. IEEE Trans. Image Process. 25 (8) (2016)
Baojian Zhou, Wai Ho Mow
Efficient compute-and-forward design with low communication overhead. APCC (2016)
Feng Chen, Baojian Zhou
A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. IJCAI (2016)
Jinming Wen, Baojian Zhou, Wai Ho Mow, Xiao-Wen Chang
An Efficient Algorithm for Optimally Solving a Shortest Vector Problem in Compute-and-Forward Design. IEEE Trans. Wirel. Commun. 15 (10) (2016)
Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. AAAI (2016)
Baojian Zhou, Feng Chen
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection. CoRR (2016)
Jinming Wen, Baojian Zhou, Wai Ho Mow, Xiao-Wen Chang
Compute-and-forward protocol design based on improved sphere decoding. ICC (2015)
Baojian Zhou, Wai Ho Mow
A quadratic programming relaxation approach to compute-and-forward network coding design. ISIT (2014)
Jinming Wen, Baojian Zhou, Wai Ho Mow, Xiao-Wen Chang
Compute-and-Forward Protocol Design Based on Improved Sphere Decoding. CoRR (2014)
Baojian Zhou, Zhongzhi Luan, JieQian Wu, Ming Xie
Using Paralleled-PEs Method to Resolve the Bursting Data in Distributed Stream Processing System. CSE (2013)
JieQian Wu, Baojian Zhou, Depei Qian, Ming Xie, Wei Chen
Elastic Resource Allocation in the Cloud. CSE (2013)
Baojian Zhou, Zhongzhi Luan, JieQian Wu, Ming Xie
Resolve Hotspots and Load Imbalance Problem in Event Stream Processing System. CSC (2013)