Publications

Selected publications. A full list is available on Google Scholar.

2024

  1. Multiuser Detection With Neural Feature Learning

    Xiangxiang Xu and Lizhong Zheng

    IEEE Military Communications Conference (MILCOM), 2024

  2. Dependence Induced Representations

    Xiangxiang Xu and Lizhong Zheng

    60th Annual Allerton Conference on Communication, Control, and Computing, 2024

  3. Neural Feature Learning in Function Space

    Xiangxiang Xu and Lizhong Zheng

    Journal of Machine Learning Research, 25(142), 2024

  4. Operator SVD with Neural Networks via Nested Low-Rank Approximation

    J. Jon Ryu, Xiangxiang Xu, H. S. Melihcan Erol, Yuheng Bu, Lizhong Zheng, and Gregory W. Wornell

    International Conference on Machine Learning (ICML), 2024

2023

  1. Sequential Dependence Decomposition and Feature Learning

    Xiangxiang Xu and Lizhong Zheng

    59th Annual Allerton Conference on Communication, Control, and Computing, 2023

  2. Kernel Subspace and Feature Extraction

    Xiangxiang Xu and Lizhong Zheng

    IEEE International Symposium on Information Theory (ISIT), 2023, pp. 1032–1037

2022

  1. On Distributed Learning With Constant Communication Bits

    Xiangxiang Xu and Shao-Lun Huang

    IEEE Journal on Selected Areas in Information Theory, 2022

  2. An Information Theoretic Interpretation to Deep Neural Networks

    Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, and Gregory W. Wornell

    Entropy, 24(1):135, 2022

2020

  1. An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

    Shao-Lun Huang, Xiangxiang Xu, and Lizhong Zheng

    IEEE Journal on Selected Areas in Information Theory, 2020

  2. Maximal Correlation Regression

    Xiangxiang Xu and Shao-Lun Huang

    IEEE Access, 8, 2020, pp. 26591–26601

2018

  1. The Geometric Structure of Generalized Softmax Learning

    Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, and Lin Zhang

    IEEE Information Theory Workshop (ITW), Guangzhou, China, November 2018