Zhilin Zhang | DeepAI

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Rui Wang
176 publications
Lei Liu
82 publications
Jian Xu
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Fan Wu
73 publications
Qiang Fu
70 publications
Yu Rong
63 publications
Kun Gai
41 publications
Guihai Chen
37 publications
Lizhen Cui
36 publications
Zhou Zhou
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Xiaoqiang Zhu
23 publications

∙ 01/30/2023

Designing Ad Auctions with Private Constraints for Automated Bidding

In online advertising, automated bidding (auto-bidding) has become a wid...

0 Yidan Xing, et al. ∙

∙ 11/29/2022

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising

Digital advertising constitutes one of the main revenue sources for onli...

0 Hongtao Lv, et al. ∙

∙ 09/19/2022

Learning Optimal Deterministic Auctions with Correlated Valuation Distributions

In mechanism design, it is challenging to design the optimal auction wit...

0 Da Huo, et al. ∙

∙ 11/10/2021

On Designing a Two-stage Auction for Online Advertising

For the scalability of industrial online advertising systems, a two-stag...

0 Yiqing Wang, et al. ∙

∙ 06/11/2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

In online advertising, auto-bidding has become an essential tool for adv...

0 Chao Wen, et al. ∙

∙ 06/07/2021

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

In e-commerce advertising, it is crucial to jointly consider various per...

0 Xiangyu Liu, et al. ∙

∙ 12/05/2020

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

In e-commerce advertising, the ad platform usually relies on auction mec...

0 Zhilin Zhang, et al. ∙

∙ 10/08/2020

A novel control mode of bionic morphing tail based on deep reinforcement learning

In the field of fixed wing aircraft, many morphing technologies have bee...

0 Liming Zheng, et al. ∙

∙ 08/09/2018

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

Multi-valued data are commonly found in many real applications. During t...

0 Zhilin Zhang, et al. ∙

∙ 04/21/2014

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

Energy consumption is an important issue in continuous wireless telemoni...

0 Zhilin Zhang, et al. ∙

∙ 11/15/2013

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

As a lossy compression framework, compressed sensing has drawn much atte...

0 Zhilin Zhang, et al. ∙

∙ 01/29/2013

Robust Face Recognition via Block Sparse Bayesian Learning

Face recognition (FR) is an important task in pattern recognition and co...

0 Taiyong Li, et al. ∙

∙ 11/21/2012

Fast Marginalized Block Sparse Bayesian Learning Algorithm

The performance of sparse signal recovery from noise corrupted, underdet...

0 Benyuan Liu, et al. ∙

∙ 05/20/2012

Sparse Signal Recovery in the Presence of Intra-Vector and Inter-Vector Correlation

This work discusses the problem of sparse signal recovery when there is ...

0 Bhaskar D. Rao, et al. ∙

∙ 05/07/2012

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

Fetal ECG (FECG) telemonitoring is an important branch in telemedicine. ...

0 Zhilin Zhang, et al. ∙

∙ 01/04/2012

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

We examine the recovery of block sparse signals and extend the framework...

0 Zhilin Zhang, et al. ∙

∙ 05/04/2011

Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity

A trend in compressed sensing (CS) is to exploit structure for improved ...

0 Zhilin Zhang, et al. ∙

∙ 04/28/2011

Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors

Iterative reweighted algorithms, as a class of algorithms for sparse sig...

0 Zhilin Zhang, et al. ∙

∙ 02/19/2011

Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning

We address the sparse signal recovery problem in the context of multiple...

0 Zhilin Zhang, et al. ∙

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