no code implementations • 7 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.
1 code implementation • 30 Jan 2024 • Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen, Yi Luo, Peng Cheng, Haiying Deng, Zhonghao Wang, Zijia Lu
For each of these CRUD categories, we have developed comprehensive datasets to evaluate the performance of RAG systems.
no code implementations • 17 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.
1 code implementation • 7 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.
no code implementations • 10 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.
no code implementations • 16 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.
no code implementations • 11 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.
2 code implementations • 1 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.
Ranked #8 on Visual Question Answering (VQA) on DocVQA test
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.
2 code implementations • 12 Oct 2022 • Qiming Peng, Yinxu Pan, Wenjin Wang, Bin Luo, Zhenyu Zhang, Zhengjie Huang, Teng Hu, Weichong Yin, Yongfeng Chen, Yin Zhang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
Recent years have witnessed the rise and success of pre-training techniques in visually-rich document understanding.
Ranked #2 on Semantic entity labeling on FUNSD
no code implementations • 18 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.
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.
1 code implementation • 28 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.
no code implementations • 16 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.
3 code implementations • 8 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.
Ranked #1 on Node Property Prediction on ogbn-proteins
no code implementations • 6 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.
no code implementations • 7 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).
1 code implementation • 19 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.
no code implementations • 11 Feb 2020 • Xin Wang, Ruisheng Su, Weiyi Xie, Wenjin Wang, Yi Xu, Ritse Mann, Jungong Han, Tao Tan
Such performance gain is more pronounced with transfer learning or in the case of limited training data.
no code implementations • 7 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.
no code implementations • 27 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.