no code implementations • 6 May 2023 • Joshua C. Lederman, Weipeng Zhang, Thomas Ferreira de Lima, Eric C. Blow, Simon Bilodeau, Bhavin J. Shastri, Paul R. Prucnal
Multiple-input multiple-output (MIMO) mmWave devices broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates.
no code implementations • 7 May 2022 • Weipeng Zhang, Alexander Tait, Chaoran Huang, Thomas Ferreira de Lima, Simon Bilodeau, Eric Blow, Aashu Jha, Bhavin J. Shastri, Paul Prucnal
The expansion of telecommunications incurs increasingly severe crosstalk and interference, and a physical layer cognitive method, called blind source separation (BSS), can effectively address these issues.
no code implementations • 17 Mar 2022 • Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang
Experiments on the open datasets verify that our model outperforms the existing calibration methods and achieves a significant improvement on the calibration metric.
no code implementations • 25 Jul 2021 • Taichu Shi, Yang Qi, Weipeng Zhang, Paul Prucnal, Ben Wu
We proposed and demonstrated an optical pulse sampling method for photonic blind source separation.
no code implementations • 21 Jul 2021 • Taichu Shi, Yang Qi, Weipeng Zhang, Paul R. Prucnal, Jie Li, Ben Wu
The ultra-fast optical pulse functions as a tweezer that collects samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals.
no code implementations • ACL 2021 • Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai
During synchronous decoding: the utterance paraphrasing is constrained by the structure of the logical form, therefore the canonical utterance can be paraphrased controlledly; the semantic decoding is guided by the semantics of the canonical utterance, therefore its logical form can be generated unsupervisedly.
no code implementations • 16 Nov 2014 • Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu
Unlike previous approaches, our approach models the clothing attributes as latent variables and thus requires no explicit labeling for the clothing attributes.