no code implementations • 19 Mar 2024 • Hao Jiang, Wangqi Shi, Zaichen Zhang, Cunhua Pan, Qingqing Wu, Feng Shu, Ruiqi Liu, Jiangzhou Wang
Then, we develop a beam domain channel model based on the proposed sub-array partition framework for large-scale RIS-enabled UAV-to-vehicle communication systems, which can be used to efficiently capture the sparse features in RIS-enabled UAV-to-vehicle channels in both near-field and far-field ranges.
no code implementations • 8 Jan 2024 • Ruiqi Liu, Peng Zheng, Ye Wang, Rui Ma
Conversely, some GAN-based 2D portrait synthesis methods can achieve clear disentanglement of facial regions, but they cannot preserve view consistency due to a lack of 3D modeling abilities.
no code implementations • 8 Nov 2023 • Fan Zhang, Tianqi Mao, Ruiqi Liu, Zhu Han, Sheng Chen, Zhaocheng Wang
For the communication-centric design, to maximize the achievable data rate, a fraction of REs are optimally allocated for communications according to prior knowledge of the communication channel.
no code implementations • 15 Oct 2023 • Qiankun Cheng, Rongen Dong, Wenlong Cai, Ruiqi Liu, Feng Shu, Jiangzhou Wang
Subsequently, two high-performance PA strategies, enhanced multiple random initialization Newton's (EMRIN) and Taylor polynomial approximation (TPA), are proposed.
1 code implementation • 28 Sep 2023 • Ruiqi Liu, Boyu Diao, Libo Huang, Zhulin An, Yongjun Xu
In E2Net, we propose Representative Network Distillation to identify the representative core subnet by assessing parameter quantity and output similarity with the working network, distilling analogous subnets within the working network to mitigate reliance on rehearsal buffers and facilitating knowledge transfer across previous tasks.
no code implementations • 18 Aug 2023 • Yapeng Zhao, Qingqing Wu, Guangji Chen, Wen Chen, Ruiqi Liu, Ming-Min Zhao, Yuan Wu, Shaodan Ma
Moreover, the results indicate that the DT assisted MEC system can precisely achieve the balance between local computing and task offloading since real-time system status can be obtained with the help of DT.
no code implementations • 24 Feb 2023 • Ruiqi Liu, Xi Chen, Zuofeng Shang
In this paper, we propose a mini-batch SGD estimator for statistical inference when the data is $\phi$-mixing.
no code implementations • 4 Apr 2022 • Kexuan Li, Fangfang Wang, Lingli Yang, Ruiqi Liu
The applications of traditional statistical feature selection methods to high-dimension, low sample-size data often struggle and encounter challenging problems, such as overfitting, curse of dimensionality, computational infeasibility, and strong model assumption.
no code implementations • 7 Jun 2021 • Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang, Zuofeng Shang
Our method is able to recover the ODE system without being subject to the curse of dimensionality and complicated ODE structure.
no code implementations • 21 May 2021 • Ruiqi Liu, Mingao Yuan, Zuofeng Shang
Stochastic gradient descent (SGD) and projected stochastic gradient descent (PSGD) are scalable algorithms to compute model parameters in unconstrained and constrained optimization problems.
no code implementations • 20 May 2021 • Ruiqi Liu, Ganggang Xu, Zuofeng Shang
When data is of an extraordinarily large size or physically stored in different locations, the distributed nearest neighbor (NN) classifier is an attractive tool for classification.
no code implementations • 3 Mar 2021 • Vicky Henderson, Saul Jacka, Ruiqi Liu
We study a mathematical model capturing the support/resistance line method (a technique in technical analysis) where the underlying stock price transitions between two states of nature in a path-dependent manner.
1 code implementation • 25 May 2020 • Jiawen Kang, Ruiqi Liu, Lantian Li, Yunqi Cai, Dong Wang, Thomas Fang Zheng
Domain generalization remains a critical problem for speaker recognition, even with the state-of-the-art architectures based on deep neural nets.
Audio and Speech Processing
no code implementations • 30 Apr 2020 • Ruiqi Liu, Zuofeng Shang, Guang Cheng
The endogeneity issue is fundamentally important as many empirical applications may suffer from the omission of explanatory variables, measurement error, or simultaneous causality.
no code implementations • 5 Feb 2019 • Ruiqi Liu, Ben Boukai, Zuofeng Shang
Sufficient conditions on network architectures are provided such that the upper bounds become optimal (without log-sacrifice).
no code implementations • 24 Jan 2019 • Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang
Statistical inference based on lossy or incomplete samples is often needed in research areas such as signal/image processing, medical image storage, remote sensing, signal transmission.