no code implementations • 25 Oct 2023 • Yameng Liu, Jianhua Zhang, Yuxiang Zhang, Huiwen Gong, Tao Jiang, Guangyi Liu
The proposed approach can be summarized as follows: Firstly, an ISAC channel model is proposed, where shared and non-shared components are superimposed for both communication and sensing.
no code implementations • 26 May 2023 • Jianhua Zhang, Jiaxin Lin, Pan Tang, Yuxiang Zhang, Huixin Xu, Tianyang Gao, Haiyang Miao, Zeyong Chai, Zhengfu Zhou, Yi Li, Huiwen Gong, Yameng Liu, Zhiqiang Yuan, Lei Tian, Shaoshi Yang, Liang Xia, Guangyi Liu, Ping Zhang
Then, a survey of the progress of the 6G channel research regarding the above five promising technologies is presented in terms of the latest measurement campaigns, new characteristics, modeling methods, and research prospects.
no code implementations • 12 Nov 2022 • Yameng Liu, Jianhua Zhang, Yuxiang Zhang, Zhiqiang Yuan, Guangyi Liu
Then, a stochastic JCAS channel model is proposed to capture the sharing feature, where shared and non-shared clusters by the two channels are defined and superimposed.
1 code implementation • 27 Jun 2019 • M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Uncertainty in the estimation of the causal effect in observational studies is often due to unmeasured confounding, i. e., the presence of unobserved covariates linking treatments and outcomes.
3 code implementations • 18 Jun 2018 • Yameng Liu, Aw Dieng, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Notable advantages of our method over existing matching procedures are its high-quality matches, versatility in handling different data distributions that may have irrelevant variables, and ability to handle missing data by matching on as many available covariates as possible.
no code implementations • 19 Jul 2017 • Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
In this work, we propose a method that computes high quality almost-exact matches for high-dimensional categorical datasets.