1. Liu, J., Xu, W., Zhang, F., & Lian, H. (2023). Properties of Standard and Sketched Kernel Fisher Discriminant. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8), 10596-10602.
2. Liu, J., Xu, W., Wang, Y. & Lian, H. (2023). Value iteration for streaming data on a continuous space with gradient method in an RKHS. Neural Networks, 166, 437-445.
3. Lian, H., & Liu, J. (2023). Decentralized learning over a network with Nyström approximation using SGD. Applied and Computational Harmonic Analysis, 66, 373-387.
4. Liu, J., & Lian, H. (2022) On optimal learning with random features. IEEE Transactions on Neural Networks and Learning Systems, 34(11), 9536-9541.
5. Liu, J., Ma, S., Xu, W., & Zhu, L. (2022). A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance. Journal of Multivariate Analysis, 190, 104946.
6. Xu, W., Liu, J., & Lian, H. (2022). Distributed estimation of support vector machines for matrix data. IEEE transactions on neural networks and learning systems, doi: 10.1109/TNNLS.2022.3212390.