Resolve Hotspots and Load Imbalance Problem in Event Stream Processing System. - Baojian Zhou; Zhongzhi Luan; JieQian Wu; Ming Xie (CSC, 2013)

Elastic Resource Allocation in the Cloud. - JieQian Wu; Baojian Zhou; Depei Qian; Ming Xie; Wei Chen 126 (CSE, 2013)

Using Paralleled-PEs Method to Resolve the Bursting Data in Distributed Stream Processing System. - Baojian Zhou; Zhongzhi Luan; JieQian Wu; Ming Xie (CSE, 2013)

A quadratic programming relaxation approach to compute-and-forward network coding design. - Baojian Zhou; Wai Ho Mow (ISIT, 2014)

Compute-and-forward protocol design based on improved sphere decoding. - Jinming Wen; Baojian Zhou; Wai Ho Mow; Xiao-Wen Chang (ICC, 2015)

Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. - Nannan Wu; Feng Chen 001; Jianxin Li 002; Baojian Zhou; Naren Ramakrishnan (AAAI, 2016)

On the minimum subspace coding capacity of multiplicative finite-field matrix channels with a given rank distribution. - Chenchen Liu; Xiaolin Li 009; Baojian Zhou; Wai Ho Mow (APCC, 2016)

Efficient compute-and-forward design with low communication overhead. - Baojian Zhou; Wai Ho Mow (APCC, 2016)

Graph Topic Scan Statistic for Spatial Event Detection. - Yu Liu 066; Baojian Zhou; Feng Chen 001; David W. Cheung (CIKM, 2016)

Research on Optimal Selection Strategy of Search Engine Keywords Based on Multi-armed Bandit. - Juan Qin; Wei Qi; Baojian Zhou (HICSS, 2016)

Graph-Structured Sparse Optimization for Connected Subgraph Detection. - Baojian Zhou; Feng Chen 001 (ICDM, 2016)

A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. - Feng Chen 001; Baojian Zhou (IJCAI, 2016)

Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. - Feng Chen 001; Baojian Zhou (CoRR, 2016)

Social Media as a Sensor for Censorship Detection in News Media. - Rongrong Tao; Baojian Zhou; Adil Alim; Feng Chen 001; David Mares; Patrick Butler; Naren Ramakrishnan (CoRR, 2016)

Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection. - Baojian Zhou; Feng Chen 001 (CoRR, 2016)

A Quadratic Programming Relaxation Approach to Compute-and-Forward Network Coding Design. - Baojian Zhou; Jinming Wen; Wai Ho Mow (CoRR, 2016)

PiCode: A New Picture-Embedding 2D Barcode. - Changsheng Chen; Wenjian Huang; Baojian Zhou; Chenchen Liu; Wai Ho Mow (IEEE Trans. Image Process., 2016)

An Efficient Algorithm for Optimally Solving a Shortest Vector Problem in Compute-and-Forward Design. - Jinming Wen; Baojian Zhou; Wai Ho Mow; Xiao-Wen Chang (IEEE Trans. Wirel. Commun., 2016)

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. - Feng Chen 001; Baojian Zhou; Adil Alim; Liang Zhao 002 (ICDM, 2017)

Parallel algorithms for anomalous subgraph detection. - Jieyu Zhao; Jianxin Li 002; Baojian Zhou; Feng Chen 001; Paul Tomchik; Wuyang Ju (Concurr. Comput. Pract. Exp., 2017)

PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications. - Boyang Hu; Baojian Zhou; Qiben Yan; Adil Alim; Feng Chen 001; Huacheng Zeng (CNS, 2018)

RA Code: A Robust and Aesthetic Code for Resolution-Constrained Applications. - Changsheng Chen; Baojian Zhou; Wai Ho Mow (IEEE Trans. Circuits Syst. Video Technol., 2018)

Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. - Baojian Zhou; Feng Chen 001; Yiming Ying (ICML, 2019)

Dual Averaging Method for Online Graph-structured Sparsity. - Baojian Zhou; Feng Chen 001; Yiming Ying (KDD, 2019)

A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. - Nannan Wu; Feng Chen 001; Jianxin Li 002; Jinpeng Huai; Baojian Zhou; Bo Li 005; Naren Ramakrishnan (IEEE Trans. Knowl. Data Eng., 2019)

Stochastic Hard Thresholding Algorithms for AUC Maximization. - Zhenhuan Yang; Baojian Zhou; Yunwen Lei; Yiming Ying (ICDM, 2020)

Online AUC Optimization for Sparse High-Dimensional Datasets. - Baojian Zhou; Yiming Ying; Steven Skiena (ICDM, 2020)

Detecting Media Self-Censorship without Explicit Training Data. - Rongrong Tao; Baojian Zhou; Feng Chen 001; David Mares; Patrick Butler; Naren Ramakrishnan; Ryan Kennedy (SDM, 2020)

Subset Node Representation Learning over Large Dynamic Graphs. - Xingzhi Guo; Baojian Zhou; Steven Skiena (KDD, 2021)

Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets. - Baojian Zhou; Yifan Sun (ICML, 2022)

Subset Node Anomaly Tracking over Large Dynamic Graphs. - Xingzhi Guo; Baojian Zhou; Steven Skiena (KDD, 2022)

Does It Pay to Optimize AUC? - Baojian Zhou; Steven Skiena (AAAI, 2023)

SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. - Chi Zhang; Wenkai Xiang; Xingzhi Guo; Baojian Zhou; Deqing Yang (ICDM (Workshops), 2023)

Fast Online Node Labeling for Very Large Graphs. - Baojian Zhou; Yifan Sun; Reza Babanezhad Harikandeh (ICML, 2023)

Accelerating Personalized PageRank Vector Computation. - Zhen Chen; Xingzhi Guo; Baojian Zhou; Deqing Yang; Steven Skiena (KDD, 2023)

Faster Local Solvers for Graph Diffusion Equations. - Jiahe Bai; Baojian Zhou; Deqing Yang; Yanghua Xiao (NeurIPS, 2024)

Iterative Methods via Locally Evolving Set Process. - Baojian Zhou; Yifan Sun; Reza Babanezhad Harikandeh; Xingzhi Guo; Deqing Yang; Yanghua Xiao (NeurIPS, 2024)

Fast and Robust Contextual Node Representation Learning over Dynamic Graphs. - Xingzhi Guo; Silong Wang; Baojian Zhou; Yanghua Xiao; Steven Skiena (CoRR, 2024)

From Text to Trajectories: GPT-2 as an ODE Solver via In-Context. - Ziyang Ma; Baojian Zhou; Deqing Yang; Yanghua Xiao (CoRR, 2025)