• Regularized Unconstrained Weakly Submodular Maximization.

Yanhui Zhu, Samik Basu, A. Pavan.

In 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), to appear. 

• Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints.[arXiv] [code]

Yanhui Zhu, Samik Basu, A. Pavan.

In International Joint Conference on Artificial Intelligence (IJCAI'24), to appear.

• SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection. [arXiv] [code]

Yanhui Zhu, Fang Hu, Lei Hsin Kuo, and Jia Liu.

In IEEE Transactions on Big Data (2024).

2023

• Size-constrained k-submodular Maximization In Near-Linear Time. [PDF] [code]

Guanyu Nie*, Yanhui Zhu*, Yididiya Y. Nadew, Samik Basu, A. Pavan, and Christopher John Quinn. 

In Proceedings of the 39th Uncertainty in Artificial Intelligence (UAI'23)

( * equal contribution, alphabetical order. )

• Maximizing Submodular Functions under Submodular Constraints. [PDF]

M. R. Padmanabhan, Yanhui Zhu, Samik Basu, and A. Pavan. 

In Proceedings of the 39th Uncertainty in Artificial Intelligence (UAI'23)

• A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. [PDF]

Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, and Christopher John Quinn

In Proceedings of the 40th International Conference on Machine Learning (ICML'23)

2020

• Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest.

Jianchao Cai, Kai Xu, Yanhui Zhu, Fang Hu, and Liuhuan Li. 

In Applied Energy (2020).

• An efficient Long Short-Term Memory model based on Laplacian Eigenmap in artificial neural networks.

Fang Hu, Yanhui Zhu, Jia Liu, and Liuhuan Li.

In Applied Soft Computing (2020).

2019