Search Results for author: Zhilin Zhang

Found 11 papers, 1 papers with code

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

no code implementations7 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.

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising

no code implementations5 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.

$α$-Approximation Density-based Clustering of Multi-valued Objects

no code implementations9 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.

Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals

no code implementations21 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.

Data Compression Electroencephalogram (EEG)

Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities

no code implementations15 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.

Electroencephalogram (EEG)

Robust Face Recognition via Block Sparse Bayesian Learning

no code implementations29 Jan 2013 Taiyong Li, Zhilin Zhang

Recently, it has been found that algorithms based on a block sparse model can achieve better recognition rates.

Face Recognition Robust Face Recognition

Fast Marginalized Block Sparse Bayesian Learning Algorithm

no code implementations21 Nov 2012 Benyuan Liu, Zhilin Zhang, Hongqi Fan, Qiang Fu

One typical correlation structure is the intra-block correlation in block sparse signals.

Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning

no code implementations7 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.

Data Compression

Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation

no code implementations4 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.

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