Publications

Also on Google Scholar and DBLP. Names in bold are mine.

Statistical structure and the evolution of languages
Xingzhi Guo, Sergiy Verstyuk, Haochen Chen, Baojian Zhou, Steven Skiena
Proceedings of the Royal Society B: Biological Sciences, 293(2068) PDF Paper
Semantic DLM+: Improving Diffusion Language Models through Bias-variance Trade-off in Transition Kernel Design
Keyue Jiang, Yuxiang Wang, Yanan Zhao, Xiang Yu, Qifang Zhao, Bohan Tang, Baojian Zhou, Yanghua Xiao, Lin Qu, Xiaoxiao Xu
arXiv preprint arXiv
Reinforcement Learning from Denoising Feedback
Qi He, Huan Chen, Ya Guo, Huijia Zhu, Yi R. Fung, Baojian Zhou
arXiv preprint arXiv
On the Trainability of Masked Diffusion Language Models via Blockwise Locality
Yuxiang Wang, Yu Xiang, Baojian Zhou, Qifang Zhao, Keyue Jiang, Yanghua Xiao, Xiaoxiao Xu
arXiv preprint arXiv
Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement
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
arXiv preprint arXiv

Accelerated Evolving Set Processes for Local PageRank Computation
Binbin Huang, Luo Luo, Yanghua Xiao, Deqing Yang, Baojian Zhou
Advances in Neural Information Processing Systems (NeurIPS) Proceedings arXiv
From Text to Trajectories: GPT-2 as an ODE Solver via In-Context Learning
Ziyang Ma, Baojian Zhou, Deqing Yang, Yanghua Xiao
arXiv preprint arXiv

Iterative Methods via Locally Evolving Set Process
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao
Advances in Neural Information Processing Systems (NeurIPS) Proceedings arXiv
Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao
Advances in Neural Information Processing Systems (NeurIPS) Proceedings arXiv
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs
Xingzhi Guo, Silong Wang, Baojian Zhou, Yanghua Xiao, Steven Skiena
arXiv preprint arXiv

Does It Pay to Optimize AUC?
Baojian Zhou, Steven Skiena
AAAI Conference on Artificial Intelligence (AAAI) Code Paper arXiv
Fast Online Node Labeling for Very Large Graphs
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh
International Conference on Machine Learning (ICML) Code Proceedings arXiv
Accelerating Personalized PageRank Vector Computation
Zhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Code Paper arXiv
SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs
Chi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang
IEEE International Conference on Data Mining Workshops (ICDMW) Code Paper arXiv

Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Baojian Zhou, Yifan Sun
International Conference on Machine Learning (ICML) Code Proceedings arXiv
Subset Node Anomaly Tracking over Large Dynamic Graphs
Xingzhi Guo, Baojian Zhou, Steven Skiena
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Paper arXiv

Subset Node Representation Learning over Large Dynamic Graphs
Xingzhi Guo, Baojian Zhou, Steven Skiena
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Code Paper arXiv

Online AUC Optimization for Sparse High-Dimensional Datasets
Baojian Zhou, Yiming Ying, Steven Skiena
IEEE International Conference on Data Mining (ICDM) Code Paper arXiv
Stochastic Hard Thresholding Algorithms for AUC Maximization
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying
IEEE International Conference on Data Mining (ICDM) Code Paper arXiv
Detecting Media Self-Censorship without Explicit Training Data
Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy
SIAM International Conference on Data Mining (SDM) Paper

Dual Averaging Method for Online Graph-structured Sparsity
Baojian Zhou, Feng Chen, Yiming Ying
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Paper Webpage arXiv
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou, Feng Chen, Yiming Ying
International Conference on Machine Learning (ICML) Proceedings Webpage arXiv
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors
Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li, Naren Ramakrishnan
IEEE Transactions on Knowledge and Data Engineering (TKDE) Paper

PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications
Boyang Hu, Baojian Zhou, Qiben Yan, Adil Alim, Feng Chen, Huacheng Zeng
IEEE Conference on Communications and Network Security (CNS) Equal contribution: Boyang Hu and Baojian Zhou. Paper

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
IEEE International Conference on Data Mining (ICDM) Code Paper arXiv
Parallel Algorithms for Anomalous Subgraph Detection
Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju
Concurrency and Computation: Practice and Experience Paper
Can Self-Censorship in News Media be Detected Algorithmically? A Case Study in Latin America
Rongrong Tao, Baojian Zhou, Adil Alim, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan
arXiv preprint arXiv

Graph-Structured Sparse Optimization for Connected Subgraph Detection
Baojian Zhou, Feng Chen
IEEE International Conference on Data Mining (ICDM) Regular paper; acceptance rate 8.4%. Code Paper arXiv
A Generalized Matching Pursuit Approach for Graph-Structured Sparsity
Feng Chen, Baojian Zhou
International Joint Conference on Artificial Intelligence (IJCAI) Code Paper arXiv
Graph Topic Scan Statistic for Spatial Event Detection
Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung
ACM International Conference on Information and Knowledge Management (CIKM) Long paper; acceptance rate 17.6%. Paper
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors
Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan
AAAI Conference on Artificial Intelligence (AAAI) Paper

Using Paralleled-PEs Method to Resolve the Bursting Data in Distributed Stream Processing System
Baojian Zhou, Zhongzhi Luan, Jieqian Wu, Ming Xie
IEEE International Conference on Computational Science and Engineering (CSE) Paper
Resolve Hotspots and Load Imbalance Problem in Event Stream Processing System
Baojian Zhou, Zhongzhi Luan, Jieqian Wu, Ming Xie
IEEE International Conference on Cyber, Physical and Social Computing (CSC) Paper
Elastic Resource Allocation in the Cloud
Jieqian Wu, Baojian Zhou, Depei Qian, Ming Xie, Wei Chen
IEEE International Conference on Computational Science and Engineering (CSE) Paper