Search Results for author: Ruiqi Liu

Found 16 papers, 2 papers with code

Large-Scale RIS Enabled Air-Ground Channels: Near-Field Modeling and Analysis

no code implementations19 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.

3D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesis

no code implementations8 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.

Disentanglement Image Generation

Cross-Domain Dual-Functional OFDM Waveform Design for Accurate Sensing/Positioning

no code implementations8 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.

Two Enhanced-rate Power Allocation Strategies for Active IRS-assisted Wireless Network

no code implementations15 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.

E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network

1 code implementation28 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.

Continual Learning Transfer Learning

Intelligent Reflecting Surface Aided Multi-Tier Hybrid Computing

no code implementations18 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.

Edge-computing

Statistical Inference with Stochastic Gradient Methods under $φ$-mixing Data

no code implementations24 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.

Time Series Time Series Analysis +1

Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks

no code implementations4 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.

feature selection

Calibrating multi-dimensional complex ODE from noisy data via deep neural networks

no code implementations7 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.

Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints

no code implementations21 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.

Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory

no code implementations20 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.

The Support and Resistance Line Method: An Analysis via Optimal Stopping

no code implementations3 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.

Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning

1 code implementation25 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

On Deep Instrumental Variables Estimate

no code implementations30 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.

Optimal Nonparametric Inference via Deep Neural Network

no code implementations5 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).

Two-sample testing

Nonparametric Inference under B-bits Quantization

no code implementations24 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.

Quantization

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