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01/30/2023
Designing Ad Auctions with Private Constraints for Automated Bidding
In online advertising, automated bidding (auto-bidding) has become a wid...
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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...
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09/19/2022
Learning Optimal Deterministic Auctions with Correlated Valuation Distributions
In mechanism design, it is challenging to design the optimal auction wit...
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11/10/2021
On Designing a Two-stage Auction for Online Advertising
For the scalability of industrial online advertising systems, a two-stag...
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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...
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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...
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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...
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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...
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08/09/2018
α-Approximation Density-based Clustering of Multi-valued Objects
Multi-valued data are commonly found in many real applications. During t...
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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...
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11/15/2013
Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities
As a lossy compression framework, compressed sensing has drawn much atte...
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01/29/2013
Robust Face Recognition via Block Sparse Bayesian Learning
Face recognition (FR) is an important task in pattern recognition and co...
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11/21/2012
Fast Marginalized Block Sparse Bayesian Learning Algorithm
The performance of sparse signal recovery from noise corrupted, underdet...
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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 ...
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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. ...
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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...
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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 ...
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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...
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02/19/2011