Below is a selected collection of my publications. A full list can be found at my Google Scholar profile.
- Xu, Xiangxiang and Lizhong Zheng. Kernel Subspace and Feature Extraction. arXiv preprint arXiv:2301.01410 (2023).
- Xu, Xiangxiang and Lizhong Zheng. Multivariate Feature Extraction. 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
- Xu, Xiangxiang and Shao-Lun Huang. On Distributed Learning with Constant Communication Bits. In IEEE Journal on Selected Areas in Information Theory (2022). [Slides]
- Xu, Xiangxiang, Shao-Lun Huang, Lizhong Zheng, and Gregory W. Wornell. 2022. "An Information Theoretic Interpretation to Deep Neural Networks" Entropy 24, no. 1: 135. [Code]
Huang, Shao-Lun, Xiangxiang Xu, and Lizhong Zheng. An information-theoretic approach to unsupervised feature selection for high-dimensional data. In IEEE Journal on Selected Areas in Information Theory (2020). [Appendix]
Xu, Xiangxiang, Shao-Lun Huang, Lizhong Zheng, and Lin Zhang. The Geometric Structure of Generalized Softmax Learning. In 2018 IEEE Information Theory Workshop (ITW) (IEEE ITW 2018), Guangzhou, P.R. China, November 2018. [Slides] [Code]