1 code implementation • 11 Jun 2021 • Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng
Third, to deploy MAAB in the large-scale advertising system with millions of advertisers, we propose a mean-field approach.
no code implementations • 7 Jun 2021 • Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, YiQing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
In e-commerce advertising, it is crucial to jointly consider various performance metrics, e. g., user experience, advertiser utility, and platform revenue.
no code implementations • 5 Dec 2020 • Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
In e-commerce advertising, the ad platform usually relies on auction mechanisms to optimize different performance metrics, such as user experience, advertiser utility, and platform revenue.
no code implementations • 9 Aug 2018 • Zhilin Zhang
In this paper, a concept of $\alpha$-approximation distance is introduced to measure the connectivity between multi-valued objects by taking account of the distribution of the instances.
no code implementations • 21 Apr 2014 • Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Zhouyue Pi, Bhaskar D. Rao
Particularly, the proposed algorithm ensured that the BCI classification and the drowsiness estimation had little degradation even when data were compressed by 80%, making it very suitable for continuous wireless telemonitoring of multichannel signals.
no code implementations • 15 Nov 2013 • Zhilin Zhang, Bhaskar D. Rao, Tzyy-Ping Jung
As a lossy compression framework, compressed sensing has drawn much attention in wireless telemonitoring of biosignals due to its ability to reduce energy consumption and make possible the design of low-power devices.
no code implementations • 29 Jan 2013 • Taiyong Li, Zhilin Zhang
Recently, it has been found that algorithms based on a block sparse model can achieve better recognition rates.
no code implementations • 21 Nov 2012 • Benyuan Liu, Zhilin Zhang, Hongqi Fan, Qiang Fu
One typical correlation structure is the intra-block correlation in block sparse signals.
no code implementations • 13 Jun 2012 • Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao
Compressed sensing (CS), as an emerging data compression methodology, is promising in catering to these constraints.
no code implementations • 7 May 2012 • Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao
The design of a telemonitoring system via a wireless body-area network with low energy consumption for ambulatory use is highly desirable.
no code implementations • 4 Jan 2012 • Zhilin Zhang, Bhaskar D. Rao
We examine the recovery of block sparse signals and extend the framework in two important directions; one by exploiting signals' intra-block correlation and the other by generalizing signals' block structure.