Publications

2025

1. 

   DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing

   Z.-J. Zhou, X.-Y. Tian, L.-H. Peng, C. Lei, A. Schrab, D. J. Sutherland, and F. Liu

   In Advances in Neural Information Processing Systems 38, 2025

   Bib PDF Code

   @incollection{Zhou:Tian:Peng:Lei:Schrab:Sutherland:Liu2025,
     author = {Zhou, Z.-J. and Tian, X.-Y. and Peng, L.-H. and Lei, C. and Schrab, A. and Sutherland, D.~J. and Liu, F.},
     title = {{DUAL:} Learning Diverse Kernels for Aggregated Two-sample and Independence
                       Testing},
     booktitle = {Advances in Neural Information Processing Systems 38},
     publisher = {Curran Associates},
     address = {Dutchess, NY},
     year = {2025}
   }

2. 

   Anchor-based Maximum Discrepancy for Relative Similarity Testing

   Z.-J. Zhou, L.-H. Peng, X.-Y. Tian, and F. Liu

   In Advances in Neural Information Processing Systems 38, 2025

   Bib PDF Code

   @incollection{Zhou:Peng:Tian:Liu2025,
     author = {Zhou, Z.-J. and Peng, L.-H. and Tian, X.-Y. and Liu, F.},
     title = {Anchor-based Maximum Discrepancy for Relative Similarity Testing},
     booktitle = {Advances in Neural Information Processing Systems 38},
     publisher = {Curran Associates},
     address = {Dutchess, NY},
     year = {2025}
   }

3. 

   A Unified Data Representation Learning for Non-parametric Two-sample Testing

   X.-Y Tian, L.-H. Peng, Z.-J. Zhou, M.-M. Gong, A. Gretton, and F. Liu

   In Proceedings of the 41th Conference on Uncertainty in Artificial Intelligence, 2025

   Bib PDF

   @inproceedings{Tian:Peng:Zhou:Gong:Gretton:Liu2025,
     author = {Tian, X.-Y and Peng, L.-H. and Zhou, Z.-J. and Gong, M.-M. and Gretton, A. and Liu, F.},
     title = {A Unified Data Representation Learning for Non-parametric Two-sample
                       Testing},
     booktitle = {Proceedings of the 41th Conference on Uncertainty in Artificial Intelligence},
     address = {Rio de Janeiro, Brazil},
     series = {Proceedings of Machine Learning Research},
     volume = {286},
     pages = {4165-4184},
     year = {2025}
   }

4. 

   Interpretation with baseline shapley value for feature groups on tree models

   F. Xu, Z.-J. Zhou, J. Ni, and W. Gao

   Frontiers of Computer Science, 2025

   Bib PDF

   @article{xu2025interpretation,
     title = {Interpretation with baseline shapley value for feature groups on tree models},
     author = {Xu, F. and Zhou, Z.-J. and Ni, J. and Gao, W.},
     journal = {Frontiers of Computer Science},
     volume = {19},
     number = {5},
     pages = {195316},
     year = {2025}
   }

2023

1. 

   On the Exploration of Local Significant Differences for Two-Sample Test

   Z.-J. Zhou, J. Ni, J.-H. Yao, and W. Gao

   In Advances in Neural Information Processing Systems 36, 2023

   Bib PDF Code

   @incollection{Zhou:Ni:Yao:Gao2023,
     author = {Zhou, Z.-J. and Ni, J. and Yao, J.-H. and Gao, W.},
     title = {On the Exploration of Local Significant Differences for Two-Sample Test},
     booktitle = {Advances in Neural Information Processing Systems 36},
     publisher = {Curran Associates},
     address = {Dutchess, NY},
     year = {2023}
   }

2021

1. 

   Active learning for multi-objective optimal road congestion pricing considering negative land use effect

   S.-P. Zhong, Y.-H. Gong, Z.-J Zhou, R. Cheng, and F. Xiao

   Transportation Research Part C: Emerging Technologies, 2021

   Bib PDF

   @article{Zhong:Gong:Zhou:Cheng:Xiao,
     title = {Active learning for multi-objective optimal road congestion pricing considering negative land use effect},
     author = {Zhong, S.-P. and Gong, Y.-H. and Zhou, Z.-J and Cheng, R. and Xiao, F.},
     journal = {Transportation Research Part C: Emerging Technologies},
     volume = {125},
     pages = {103002},
     year = {2021}
   }