1 code implementation • 18 Dec 2023 • Zhihao Yu, Chaohe Zhang, Yasha Wang, Wen Tang, Jiangtao Wang, Liantao Ma
Predicting health risks from electronic health records (EHR) is a topic of recent interest.
no code implementations • 25 Nov 2023 • Zezhou Wang, Guitao Cao, Xidong Xi, Jiangtao Wang
Automated driving object detection has always been a challenging task in computer vision due to environmental uncertainties.
no code implementations • 10 Oct 2023 • Ke Xu, Jiangtao Wang, Hongyuan Zhu, Dingchang Zheng
We attribute this issue to the inappropriate alignment criteria, which disrupt the semantic distance consistency between the feature space and the input space.
no code implementations • 19 Jul 2023 • Ke Xu, Jiangtao Wang, Hongyuan Zhu, Dingchang Zheng
Therefore, considerable efforts have been made to address the challenge of insufficient data in deep learning by leveraging SSL algorithms.
1 code implementation • 28 Oct 2022 • Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
M3Care is an end-to-end model compensating the missing information of the patients with missing modalities to perform clinical analysis.
no code implementations • 9 Jan 2022 • Long Yang, Jiangtao Wang, Xuan Xue, Jia Shi, Yongchao Wang
In this paper, we investigate the secure beamforming design in an intelligent reflection surface (IRS) assisted millimeter wave (mmWave) system, where the hybrid beamforming (HB) and the passive beamforming (PB) are employed by the transmitter and the IRS, respectively.
no code implementations • 6 Oct 2021 • Jiangtao Wang, Yongchao Wang
In this paper, we design low correlation binary sequences favorable in wireless communication and radar applications.
no code implementations • 16 Apr 2021 • Quan Zhang, Jiangtao Wang, Yongchao Wang
In this paper, we design an efficient quadrature amplitude modulation (QAM) signal detector for massive multiple-input multiple-output (MIMO) communication systems via the penalty-sharing alternating direction method of multipliers (PS-ADMM).
1 code implementation • 30 Sep 2020 • Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Gen, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal
The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis.
no code implementations • 17 Jul 2020 • Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang
Due to the characteristics of COVID-19, the epidemic develops rapidly and overwhelms health service systems worldwide.
1 code implementation • 27 Nov 2019 • Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma
It also models the correlation between clinical features to enhance the ones which strongly indicate the health status and thus can maintain a state-of-the-art performance in terms of prediction accuracy while providing qualitative interpretability.
no code implementations • 1 Nov 2018 • Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang
However, the shallow models leveraging bilinear forms suffer from limitations on capturing complicated nonlinear interactions between drug pairs.