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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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09/01/2022
Online Data Selection for Federated Learning with Limited Storage
Machine learning models have been deployed in mobile networks to deal wi...
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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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08/24/2021
Data-Free Evaluation of User Contributions in Federated Learning
Federated learning (FL) trains a machine learning model on mobile device...
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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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05/25/2021
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising
Advertising expenditures have become the major source of revenue for e-c...
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12/20/2020
Toward Understanding the Influence of Individual Clients in Federated Learning
Federated learning allows mobile clients to jointly train a global model...
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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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08/20/2020
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
For e-commerce platforms such as Taobao and Amazon, advertisers play an ...
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06/29/2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
In E-commerce, advertising is essential for merchants to reach their tar...
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05/09/2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
Bipartite b-matching is fundamental in algorithm design, and has been wi...
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02/18/2020
Distributed Optimization over Block-Cyclic Data
We consider practical data characteristics underlying federated learning...
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02/18/2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability
Federated learning is a new distributed machine learning framework, wher...
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11/28/2019
Online Pricing with Reserve Price Constraint for Personal Data Markets
The society's insatiable appetites for personal data are driving the eme...
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11/18/2019
Mechanism Design with Predicted Task Revenue for Bike Sharing Systems
Bike sharing systems have been widely deployed around the world in recen...
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08/20/2019
Optimal Search Segmentation Mechanisms for Online Platform Markets
Online platforms, such as Airbnb, hotels.com, Amazon, Uber and Lyft, can...
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12/08/2018
Achieving Data Truthfulness and Privacy Preservation in Data Markets
As a significant business paradigm, many online information platforms ha...
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11/14/2018
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing
In mobile crowdsensing, finding the best match between tasks and users i...
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04/05/2018