Search Results for author: Wenjin Wang

Found 21 papers, 9 papers with code

Robust Symbol-Level Precoding for Massive MIMO Communication Under Channel Aging

no code implementations7 Feb 2024 Yafei Wang, Xinping Yi, Hongwei Hou, Wenjin Wang, Shi Jin

With the signal model in the presence of channel aging, we formulate the signal-to-noise-plus-interference ratio (SINR) balancing and minimum mean square error (MMSE) problems for robust SLP design.

Robust Design

Privacy Protected Contactless Cardio-respiratory Monitoring using Defocused Cameras during Sleep

no code implementations17 Jan 2024 Yingen Zhu, Jia Huang, Hongzhou Lu, Wenjin Wang

The monitoring of vital signs such as heart rate (HR) and respiratory rate (RR) during sleep is important for the assessment of sleep quality and detection of sleep disorders.

Sleep Quality

Grimoire is All You Need for Enhancing Large Language Models

1 code implementation7 Jan 2024 Ding Chen, Shichao Song, Qingchen Yu, Zhiyu Li, Wenjin Wang, Feiyu Xiong, Bo Tang

In this paper, we propose a method SLEICL that involves learning from examples using strong language models and then summarizing and transferring these learned skills to weak language models for inference and application.

In-Context Learning

Beam-Delay Domain Channel Estimation for mmWave XL-MIMO Systems

no code implementations10 Dec 2023 Hongwei Hou, Xuan He, Tianhao Fang, Xinping Yi, Wenjin Wang, Shi Jin

This paper investigates the uplink channel estimation of the millimeter-wave (mmWave) extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in the beam-delay domain, taking into account the near-field and beam-squint effects due to the transmission bandwidth and array aperture growth.

Soft Demodulator for Symbol-Level Precoding in Coded Multiuser MISO Systems

no code implementations16 Oct 2023 Yafei Wang, Hongwei Hou, Wenjin Wang, Xinping Yi, Shi Jin

It is observed that the received SLP signals do not always follow Gaussian distribution, rendering the conventional soft demodulation with the Gaussian assumption unsuitable for the coded SLP systems.

Symbol-Level Precoding for Average SER Minimization in Multiuser MISO Systems

no code implementations11 Oct 2023 Yafei Wang, Hongwei Hou, Wenjin Wang, Xinping Yi

This paper investigates symbol-level precoding (SLP) for high-order quadrature amplitude modulation (QAM) aimed at minimizing the average symbol error rate (SER), leveraging both constructive interference (CI) and noise power to gain superiority in full signal-to-noise ratio (SNR) ranges.

Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering

2 code implementations1 Jun 2023 Wenjin Wang, Yunhao Li, Yixin Ou, Yin Zhang

Instead, in this paper, we find that instruction-tuning language models like Claude and ChatGPT can understand layout by spaces and line breaks.

Optical Character Recognition (OCR) Question Answering +2

Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning

1 code implementation CVPR 2023 Wenjin Wang, Yunqing Hu, Qianglong Chen, Yin Zhang

In this paper, we propose the Parameter Allocation & Regularization (PAR), which adaptively select an appropriate strategy for each task from parameter allocation and regularization based on its learning difficulty.

ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding

no code implementations18 Sep 2022 Wenjin Wang, Zhengjie Huang, Bin Luo, Qianglong Chen, Qiming Peng, Yinxu Pan, Weichong Yin, Shikun Feng, Yu Sun, dianhai yu, Yin Zhang

At first, a document graph is proposed to model complex relationships among multi-grained multimodal elements, in which salient visual regions are detected by a cluster-based method.

Common Sense Reasoning document understanding +1

Estimating Human Weight from A Single Image

1 code implementation IEEE Transactions on Multimedia 2022 Zhi Jin, Junjia Huang, Wenjin Wang, Aolin Xiong, Xiaojun Tan

In this case, the widely used Body Mass Index (BMI) which is associated with body height and weight can be employed as a measure of weight to indicate the health conditions.

LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction

1 code implementation28 Jun 2021 Shanzhuo Zhang, Lihang Liu, Sheng Gao, Donglong He, Xiaomin Fang, Weibin Li, Zhengjie Huang, Weiyue Su, Wenjin Wang

In this report, we (SuperHelix team) present our solution to KDD Cup 2021-PCQM4M-LSC, a large-scale quantum chemistry dataset on predicting HOMO-LUMO gap of molecules.

molecular representation Property Prediction +2

Algorithmic Principles of Camera-based Respiratory Motion Extraction

no code implementations16 May 2021 Wenjin Wang, Albertus C. den Brinker

Measuring the respiratory signal from a video based on body motion has been proposed and recently matured in products for video health monitoring.

Motion Estimation

Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

3 code implementations8 Sep 2020 Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjin Wang, Yu Sun

Graph neural network (GNN) and label propagation algorithm (LPA) are both message passing algorithms, which have achieved superior performance in semi-supervised classification.

General Classification Node Classification +1

Network Massive MIMO Transmission Over Millimeter-Wave and Terahertz Bands: Mobility Enhancement and Blockage Mitigation

no code implementations6 May 2020 Li You, Xu Chen, Xiaohang Song, Fan Jiang, Wenjin Wang, Xiqi Gao, Gerhard Fettweis

Based on these insights, the network massive MIMO precoding design is reduced to a network sum-rate maximization problem with respect to beam domain power allocation.

Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission with Statistical CSIT

no code implementations7 Apr 2020 Li You, Jiayuan Xiong, Alessio Zappone, Wenjin Wang, Xiqi Gao

As a key technology for future wireless networks, massive multiple-input multiple-output (MIMO) can significantly improve the energy efficiency (EE) and spectral efficiency (SE), and the performance is highly dependant on the degree of the available channel state information (CSI).

Lifelong Learning with Searchable Extension Units

1 code implementation19 Mar 2020 Wenjin Wang, Yunqing Hu, Yin Zhang

To solve those problems, in this paper, we propose a new lifelong learning framework named Searchable Extension Units (SEU) by introducing Neural Architecture Search into lifelong learning, which breaks down the need for a predefined original model and searches for specific extension units for different tasks, without compromising the performance of the model on different tasks.

Neural Architecture Search

Analysis of CNN-based remote-PPG to understand limitations and sensitivities

no code implementations7 Nov 2019 Qi Zhan, Wenjin Wang, Gerard de Haan

Finally, we conclude that the PPG-related prior knowledge is still helpful for the CNN-based PPG extraction.

Photoplethysmography (PPG)

Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems

no code implementations27 Oct 2019 Chi Wu, Xinping Yi, Wenjin Wang, Li You, Qing Huang, Xiqi Gao

In this paper, we consider the user positioning problem in the massive multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system with a uniform planner antenna (UPA) array.

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