Extreme Point Pursuit -- Part II: Further Error Bound Analysis and Applications

no code implementations • 11 Mar 2024 • Junbin Liu, Ya Liu, Wing-Kin Ma, Mingjie Shao, Anthony Man-Cho So

In the first part of this study, a convex-constrained penalized formulation was studied for a class of constant modulus (CM) problems.

Constrained Clustering Graph Matching

Extreme Point Pursuit -- Part I: A Framework for Constant Modulus Optimization

no code implementations • 11 Mar 2024 • Junbin Liu, Ya Liu, Wing-Kin Ma, Mingjie Shao, Anthony Man-Cho So

This study develops a framework for a class of constant modulus (CM) optimization problems, which covers binary constraints, discrete phase constraints, semi-orthogonal matrix constraints, non-negative semi-orthogonal matrix constraints, and several types of binary assignment constraints.

Unsupervised Deep Learning for IoT Time Series

no code implementations • 7 Feb 2023 • Ya Liu, Yingjie Zhou, Kai Yang, Xin Wang

IoT time series analysis has found numerous applications in a wide variety of areas, ranging from health informatics to network security.

Clustering Representation Learning +3

A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks

no code implementations • 1 Jun 2021 • Qihui Wu, Tianchen Ruan, Fuhui Zhou, Yang Huang, Fan Xu, Shijin Zhao, Ya Liu, Xuyang Huang

Many machine learning frameworks have been proposed and used in wireless communications for realizing diverse goals.

Self-Learning