Search Results for author: Liyang Lu

Found 15 papers, 2 papers with code

Near-Field Channel Estimation in Dual-Band XL-MIMO with Side Information-Assisted Compressed Sensing

no code implementations19 Mar 2024 Haochen Wu, Liyang Lu, Zhaocheng Wang

Specifically, we formulate the dual-band near-field communication model based on the fact that high-frequency systems are likely to be deployed with lower-frequency systems.

Block-Dominant Compressed Sensing for Near-Field Communications: Fundamentals, Solutions and Future Directions

no code implementations19 Mar 2024 Liyang Lu, Ke Ma, Zhaocheng Wang

Near-field (NF) communications draw much attention in the context of extremely large-scale antenna arrays (ELAA).

Block-Sparse Tensor Recovery

no code implementations4 Feb 2024 Liyang Lu, Zhaocheng Wang, Zhen Gao, Sheng Chen, H. Vincent Poor

This work explores the fundamental problem of the recoverability of a sparse tensor being reconstructed from its compressed embodiment.

Sparsity-Based Channel Estimation Exploiting Deep Unrolling for Downlink Massive MIMO

no code implementations24 Sep 2023 An Chen, Wenbo Xu, Liyang Lu, Yue Wang

Massive multiple-input multiple-output (MIMO) enjoys great advantage in 5G wireless communication systems owing to its spectrum and energy efficiency.

Compressive Sensing

Joint Block-Sparse Recovery Using Simultaneous BOMP/BOLS

no code implementations7 Apr 2023 Liyang Lu, Zhaocheng Wang, Sheng Chen

We consider the greedy algorithms for the joint recovery of high-dimensional sparse signals based on the block multiple measurement vector (BMMV) model in compressed sensing (CS).


Compressive Spectrum Sensing Using Blind-Block Orthogonal Least Squares

no code implementations14 Nov 2022 Liyang Lu, Wenbo Xu, Yue Wang, Zhi Tian

In this paper, we propose a blind-block orthogonal least squares-based compressive spectrum sensing (B-BOLS-CSS) algorithm, which utilizes a novel blind stopping rule to cut the cords to these prior information.

Compressive Sensing

Compressive Spectrum Sensing Using Sampling-Controlled Block Orthogonal Matching Pursuit

no code implementations14 Nov 2022 Liyang Lu, Wenbo Xu, Yue Wang, Zhi Tian

To this end, the minimum number of required measurements for successful recovery is first derived in terms of its probabilistic lower bound.

Downlink Massive MIMO Channel Estimation via Deep Unrolling : Sparsity Exploitations in Angular Domain

no code implementations31 Oct 2022 An Chen, Wenbo Xu, Liyang Lu, Yue Wang

In frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massive pilot overhead due to hundreds of antennas at base station (BS).

Compressive Sensing Rolling Shutter Correction

Blind Orthogonal Least Squares based Compressive Spectrum Sensing

no code implementations11 Apr 2022 Liyang Lu, Wenbo Xu, Yue Wang, Zhi Tian

As an enabling technique of cognitive radio (CR), compressive spectrum sensing (CSS) based on compressive sensing (CS) can detect the spectrum opportunities from wide frequency bands efficiently and accurately by using sub-Nyquist sampling rate.

Compressive Sensing

Scalable and Efficient MoE Training for Multitask Multilingual Models

1 code implementation22 Sep 2021 Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Andres Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla

By combining the efficient system and training methods, we are able to significantly scale up large multitask multilingual models for language generation which results in a great improvement in model accuracy.

Machine Translation Text Generation

Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model

no code implementations22 Feb 2021 Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Eskimez, Liyang Lu, Hong Qu, Michael Zeng

Many downstream tasks and human readers rely on the output of the ASR system; therefore, errors introduced by the speaker and ASR system alike will be propagated to the next task in the pipeline.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Improving Readability for Automatic Speech Recognition Transcription

no code implementations9 Apr 2020 Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng

In this work, we propose a novel NLP task called ASR post-processing for readability (APR) that aims to transform the noisy ASR output into a readable text for humans and downstream tasks while maintaining the semantic meaning of the speaker.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Single-Shot Specular Surface Reconstruction With Gonio-Plenoptic Imaging

no code implementations ICCV 2015 Lingfei Meng, Liyang Lu, Noah Bedard, Kathrin Berkner

Unlike a conventional plenoptic camera, our system captures the BRDF variation of the object surface in a single image in addition to the light field information from the scene, which allows us to recover very fine 3D structures of the surface.

Surface Reconstruction

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