| 2026 | EuroPar | MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference. | Shaokang Du, Hailong Yang, Tao Lu, Xin You, Baojian Zhou, Depei Qian |
| 2023 | AAAI | Does It Pay to Optimize AUC? | Baojian Zhou, Steven Skiena |
| 2023 | ICDM | SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs. | Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang |
| 2023 | ICML | Fast Online Node Labeling for Very Large Graphs. | Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh |
| 2023 | KDD | Accelerating Personalized PageRank Vector Computation. | Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena |
| 2022 | ICML | Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets. | Baojian Zhou, Yifan Sun |
| 2022 | KDD | Subset Node Anomaly Tracking over Large Dynamic Graphs. | Xingzhi Guo, Baojian Zhou, Steven Skiena |
| 2021 | KDD | Subset Node Representation Learning over Large Dynamic Graphs. | Xingzhi Guo, Baojian Zhou, Steven Skiena |
| 2020 | ICDM | Stochastic Hard Thresholding Algorithms for AUC Maximization. | Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying |
| 2020 | ICDM | Online AUC Optimization for Sparse High-Dimensional Datasets. | Baojian Zhou, Yiming Ying, Steven Skiena |
| 2020 | SDM | Detecting Media Self-Censorship without Explicit Training Data. | Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy |
| 2019 | ICML | Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. | Baojian Zhou, Feng Chen, Yiming Ying |
| 2019 | KDD | Dual Averaging Method for Online Graph-structured Sparsity. | Baojian Zhou, Feng Chen, Yiming Ying |
| 2017 | ICDM | A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. | Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao |
| 2016 | AAAI | Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. | Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan |
| 2016 | APCC | On the minimum subspace coding capacity of multiplicative finite-field matrix channels with a given rank distribution. | Chenchen Liu, Xiaolin Li, Baojian Zhou, Wai Ho Mow |
| 2016 | APCC | Efficient compute-and-forward design with low communication overhead. | Baojian Zhou, Wai Ho Mow |
| 2016 | CIKM | Graph Topic Scan Statistic for Spatial Event Detection. | Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung |
| 2016 | ICDM | Graph-Structured Sparse Optimization for Connected Subgraph Detection. | Baojian Zhou, Feng Chen |
| 2016 | IJCAI | A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. | Feng Chen, Baojian Zhou |
| 2014 | ISIT | A quadratic programming relaxation approach to compute-and-forward network coding design. | Baojian Zhou, Wai Ho Mow |