Baojian Zhou

56 papers A* 16A 2B 1C 2Journal 28Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement.
CoRR
Mingyu Xu, Cheng Fang, Keyue Jiang, Yuqian Zheng, Yanghua Xiao, Baojian Zhou, Qifang Zhao, Suhang Zheng, Xiuwen Zhu, Jiyang Tang, Yongchi Zhao, Yijia Luo, Zhiqi Bai, Yuchi Xu, Wenbo Su, Wei Wang, Bing Zhao, Lin Qu, Xiaoxiao Xu
2025 J jnl
Accelerated Evolving Set Processes for Local PageRank Computation.
CoRR
Binbin Huang, Luo Luo, Yanghua Xiao, Deqing Yang, Baojian Zhou
2025 J jnl
From Text to Trajectories: GPT-2 as an ODE Solver via In-Context.
CoRR
Ziyang Ma, Baojian Zhou, Deqing Yang, Yanghua Xiao
2024 J jnl
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs.
CoRR
Xingzhi Guo, Silong Wang, Baojian Zhou, Yanghua Xiao, Steven Skiena
2024 A* conf
Faster Local Solvers for Graph Diffusion Equations.
NeurIPS
Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao
2024 J jnl
Faster Local Solvers for Graph Diffusion Equations.
CoRR
Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao
2024 A* conf
Iterative Methods via Locally Evolving Set Process.
NeurIPS
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao
2024 J jnl
Iterative Methods via Locally Evolving Set Process.
CoRR
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao
2023 A* conf
Accelerating Personalized PageRank Vector Computation.
KDD
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
2023 J jnl
Accelerating Personalized PageRank Vector Computation.
CoRR
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
2023 A* conf
Does It Pay to Optimize AUC?
AAAI
Baojian Zhou, Steven Skiena
2023 J jnl
Does it pay to optimize AUC?
CoRR
Baojian Zhou, Steven Skiena
2023 A* conf
Fast Online Node Labeling for Very Large Graphs.
ICML
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh
2023 J jnl
Fast Online Node Labeling for Very Large Graphs.
CoRR
Baojian Zhou, Yifan Sun, Reza Babanezhad
2023 — conf
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs.
ICDM (Workshops)
Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang
2023 J jnl
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs.
CoRR
Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang
2022 A* conf
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets.
ICML
Baojian Zhou, Yifan Sun
2022 A* conf
Subset Node Anomaly Tracking over Large Dynamic Graphs.
KDD
Xingzhi Guo, Baojian Zhou, Steven Skiena
2022 J jnl
Subset Node Anomaly Tracking over Large Dynamic Graphs.
CoRR
Xingzhi Guo, Baojian Zhou, Steven Skiena
2021 J jnl
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets.
CoRR
Baojian Zhou, Yifan Sun
2021 A* conf
Subset Node Representation Learning over Large Dynamic Graphs.
KDD
Xingzhi Guo, Baojian Zhou, Steven Skiena
2021 J jnl
Subset Node Representation Learning over Large Dynamic Graphs.
CoRR
Xingzhi Guo, Baojian Zhou, Steven Skiena
2020 A conf
Detecting Media Self-Censorship without Explicit Training Data.
SDM
Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy
2020 A* conf
Online AUC Optimization for Sparse High-Dimensional Datasets.
ICDM
Baojian Zhou, Yiming Ying, Steven Skiena
2020 J jnl
Online AUC Optimization for Sparse High-Dimensional Datasets.
CoRR
Baojian Zhou, Yiming Ying, Steven Skiena
2020 A* conf
Stochastic Hard Thresholding Algorithms for AUC Maximization.
ICDM
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying
2020 J jnl
Stochastic Hard Thresholding Algorithms for AUC Maximization.
CoRR
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying
2019 J jnl
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors.
IEEE Trans. Knowl. Data Eng.
Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li, Naren Ramakrishnan
2019 A* conf
Dual Averaging Method for Online Graph-structured Sparsity.
KDD
Baojian Zhou, Feng Chen, Yiming Ying
2019 J jnl
Dual Averaging Method for Online Graph-structured Sparsity.
CoRR
Baojian Zhou, Feng Chen, Yiming Ying
2019 A* conf
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization.
ICML
Baojian Zhou, Feng Chen, Yiming Ying
2019 J jnl
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization.
CoRR
Baojian Zhou, Feng Chen, Yiming Ying
2018 — conf
PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications.
CNS
Boyang Hu, Baojian Zhou, Qiben Yan, Adil Alim, Feng Chen, Huacheng Zeng
2018 J jnl
RA Code: A Robust and Aesthetic Code for Resolution-Constrained Applications.
IEEE Trans. Circuits Syst. Video Technol.
Changsheng Chen, Baojian Zhou, Wai Ho Mow
2017 A* conf
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
ICDM
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
2017 J jnl
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
CoRR
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
2017 J jnl
Parallel algorithms for anomalous subgraph detection.
Concurr. Comput. Pract. Exp.
Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju
2016 A* conf
A Generalized Matching Pursuit Approach for Graph-Structured Sparsity.
IJCAI
Feng Chen, Baojian Zhou
2016 J jnl
A Quadratic Programming Relaxation Approach to Compute-and-Forward Network Coding Design.
CoRR
Baojian Zhou, Jinming Wen, Wai Ho Mow
2016 J jnl
An Efficient Algorithm for Optimally Solving a Shortest Vector Problem in Compute-and-Forward Design.
IEEE Trans. Wirel. Commun.
Jinming Wen, Baojian Zhou, Wai Ho Mow, Xiao-Wen Chang
2016 A* conf
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors.
AAAI
Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan
2016 C conf
Efficient compute-and-forward design with low communication overhead.
APCC
Baojian Zhou, Wai Ho Mow
2016 A conf
Graph Topic Scan Statistic for Spatial Event Detection.
CIKM
Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung
2016 A* conf
Graph-Structured Sparse Optimization for Connected Subgraph Detection.
ICDM
Baojian Zhou, Feng Chen
2016 C conf
On the minimum subspace coding capacity of multiplicative finite-field matrix channels with a given rank distribution.
APCC
Chenchen Liu, Xiaolin Li, Baojian Zhou, Wai Ho Mow
2016 J jnl
PiCode: A New Picture-Embedding 2D Barcode.
IEEE Trans. Image Process.
Changsheng Chen, Wenjian Huang, Baojian Zhou, Chenchen Liu, Wai Ho Mow
2016 — conf
Research on Optimal Selection Strategy of Search Engine Keywords Based on Multi-armed Bandit.
HICSS
Juan Qin, Wei Qi, Baojian Zhou
2016 J jnl
Social Media as a Sensor for Censorship Detection in News Media.
CoRR
Rongrong Tao, Baojian Zhou, Adil Alim, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan
2016 J jnl
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity.
CoRR
Feng Chen, Baojian Zhou
2016 J jnl
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection.
CoRR
Baojian Zhou, Feng Chen
2015 — conf
Compute-and-forward protocol design based on improved sphere decoding.
ICC
Jinming Wen, Baojian Zhou, Wai Ho Mow, Xiao-Wen Chang
2014 B conf
A quadratic programming relaxation approach to compute-and-forward network coding design.
ISIT
Baojian Zhou, Wai Ho Mow
2014 J jnl
Compute-and-Forward Protocol Design Based on Improved Sphere Decoding.
CoRR
Jinming Wen, Baojian Zhou, Wai Ho Mow, Xiao-Wen Chang
2013 — conf
Elastic Resource Allocation in the Cloud.
CSE
JieQian Wu, Baojian Zhou, Depei Qian, Ming Xie, Wei Chen
2013 — conf
Resolve Hotspots and Load Imbalance Problem in Event Stream Processing System.
CSC
Baojian Zhou, Zhongzhi Luan, JieQian Wu, Ming Xie
2013 — conf
Using Paralleled-PEs Method to Resolve the Bursting Data in Distributed Stream Processing System.
CSE
Baojian Zhou, Zhongzhi Luan, JieQian Wu, Ming Xie