Zhilin Zhang | DeepAI

DeepAI AI Chat

Featured Co-authors

Rui Wang
176 publications
Lei Liu
82 publications
Jian Xu
75 publications
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
35 publications
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. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world