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.
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.
1 code implementation • 27 Feb 2024 • Hao Ma, Zhiyuan Peng, Xu Li, Mingjie Shao, Xixin Wu, Ju Liu
Universal sound separation (USS) aims to extract arbitrary types of sounds from real-world recordings.
Ranked #1 on Target Sound Extraction on AudioSet
1 code implementation • 13 Dec 2023 • Hao Ma, Zhiyuan Peng, Mingjie Shao, Jing Li, Ju Liu
Target-speaker automatic speech recognition (ASR) aims to transcribe the desired speech of a target speaker from multi-talker overlapped utterances.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 1 Sep 2023 • Yatao Liu, Mingjie Shao, Wing-Kin Ma
A symbol-level precoding (SLP) scheme and a zero-forcing (ZF) precoding scheme, with the new design requirement by the spatial $\Sigma \Delta$ approach being taken into account, are developed.
no code implementations • 8 Oct 2022 • Mingjie Shao, Wing-Kin Ma, Junbin Liu, Zihao Huang
In this study we analyze the convergence rate of EM for a class of approximate maximum-likelihood OMOD formulations, or, in a broader sense, a class of problems involving regression from quantized data.
no code implementations • 1 Jul 2021 • Chujun Huang, Mingjie Shao, Wing-Kin Ma, Anthony Man-Cho So
By establishing associations between the SISAL algorithm and a line-search-based proximal gradient method, we confirm that SISAL can indeed guarantee convergence to a stationary point.
no code implementations • 30 Mar 2021 • Yatao Liu, Mingjie Shao, Wing-Kin Ma, Qiang Li
We examine how insights arising from this perturbed ZF and VP interpretations can be leveraged to i) substantially simplify the optimization of certain SLP design criteria, namely, total or peak power minimization subject to SEP quality guarantees; and ii) draw connections with some existing SLP designs.
no code implementations • 8 Jun 2020 • Silei Wang, Qiang Li, Mingjie Shao
This paper considers symbol-level precoding (SLP) for multiuser multi-input single-output (MISO) downlink transmission with the aid of intelligent reflecting surface (IRS).
no code implementations • 19 Jan 2020 • Mingjie Shao, Qiang Li, Wing-Kin Ma
Recently, the use of intelligent reflecting surface (IRS) has gained considerable attention in wireless communications.