471 citations · 2.2k across the 114 of their papers we have counts for
51 papers · 1 filter
Does AI Help or Harm? Endogenous Information Acquisition with AI Advice
Kexin Chen, Tao Lin, Jianwei Huang
AI advice increasingly enters human decision workflows before costly information acquisition and final action. This paper studies how such advice affects decision quality, measured…
Recruiting Heterogeneous Crowdsource Vehicles for Updating a High-definition Map
Wentao Ye, Yuan Luo, Bo Liu +1
The high-definition map is a cornerstone of autonomous driving. Unlike constructing a costly fleet of mapping vehicles, the crowdsourcing paradigm is a cost-effective way to keep a…
Efficient and Cost-effective Vehicle Recruitment for HD Map Crowdsourcing
Wentao Ye, Yuan Luo, Bo Liu +1
The high-definition (HD) map is a cornerstone of autonomous driving. The crowdsourcing paradigm is a cost-effective way to keep an HD map up-to-date. Current HD map crowdsourcing m…
Learning From Social Interactions: Personalized Pricing and Buyer Manipulation
Qinqi Lin, Lingjie Duan, Jianwei Huang
As the sociological theory of homophily suggests, people tend to interact with those of similar preferences. Motivated by this well-established phenomenon, today's online sellers,…
Machine Learning Model Trading with Verification under Information Asymmetry
Xiang Li, Jianwei Huang, Kai Yang +1
Machine learning (ML) model trading, known for its role in protecting data privacy, faces a major challenge: information asymmetry. This issue can lead to model deception, a proble…
Mechanism Design for Federated Learning with Non-Monotonic Network Effects
Xiang Li, Bing Luo, Jianwei Huang +1
Mechanism design is pivotal to federated learning (FL) for maximizing social welfare by coordinating self-interested clients. Existing mechanisms, however, often overlook the netwo…
Generative AI as Digital Representatives in Collective Decision-Making: A Game-Theoretical Approach
Kexin Chen, Jianwei Huang, Yuan Luo
Generative Artificial Intelligence (GenAI) enables digital representatives to make decisions on behalf of team members in collaborative tasks, but faces challenges in accurately re…
Personalized Pricing Through Strategic User Profiling in Social Networks
Qinqi Lin, Lingjie Duan, Jianwei Huang
Traditional user profiling techniques rely on browsing history or purchase records to identify users' willingness to pay. This enables sellers to offer personalized prices to profi…
Social Welfare Maximization for Federated Learning with Network Effects
Xiang Li, Yuan Luo, Bing Luo +1
A proper mechanism design can help federated learning (FL) to achieve good social welfare by coordinating self-interested clients through the learning process. However, existing me…
Dual-Role AoI-based Incentive Mechanism for HD map Crowdsourcing
Wentao Ye, Bo Liu, Yuan Luo +1
A high-quality fresh high-definition (HD) map is vital in enhancing transportation efficiency and safety in autonomous driving. Vehicle-based crowdsourcing offers a promising appro…
Information Elicitation from Decentralized Crowd Without Verification
Kexin Chen, Chao Huang, Jianwei Huang
Information Elicitation Without Verification (IEWV) refers to the problem of eliciting high-accuracy solutions from crowd members when the ground truth is unverifiable. A high-accu…
Federated Learning in Competitive EV Charging Market
Chenxi Sun, Chao Huang, Biying Shou +1
Federated Learning (FL) has demonstrated a significant potential to improve the quality of service (QoS) of EV charging stations. While existing studies have primarily focused on d…
Incentive Mechanism Design for Distributed Ensemble Learning
Chao Huang, Pengchao Han, Jianwei Huang
Distributed ensemble learning (DEL) involves training multiple models at distributed learners, and then combining their predictions to improve performance. Existing related studies…
Information Disclosure under Competition in Sharing Systems
Ningning Ding, Zhixuan Fang, Jianwei Huang
Sharing systems have facilitated the redistribution of underused resources by providing convenient online marketplaces for individual sellers and buyers. However, sellers in these…
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
Bing Luo, Yutong Feng, Shiqiang Wang +2
Incentive mechanism is crucial for federated learning (FL) when rational clients do not have the same interests in the global model as the server. However, due to system heterogene…
Socially-Optimal Mechanism Design for Incentivized Online Learning
Zhiyuan Wang, Lin Gao, Jianwei Huang
Multi-arm bandit (MAB) is a classic online learning framework that studies the sequential decision-making in an uncertain environment. The MAB framework, however, overlooks the sce…
Strategic Information Revelation in Crowdsourcing Systems Without Verification
Chao Huang, Haoran Yu, Jianwei Huang +1
We study a crowdsourcing problem where the platform aims to incentivize distributed workers to provide high quality and truthful solutions without the ability to verify the solutio…
Reputation and Pricing Dynamics in Online Markets
Qian Ma, Jianwei Huang, Tamer Başar +2
We study the economic interactions among sellers and buyers in online markets. In such markets, buyers have limited information about the product quality, but can observe the selle…
Taming Time-Varying Information Asymmetry in Fresh Status Acquisition
Zhiyuan Wang, Lin Gao, Jianwei Huang
Many online platforms are providing valuable real-time contents (e.g., traffic) by continuously acquiring the status of different Points of Interest (PoIs). In status acquisition,…
An Incentive Mechanism for Sustainable Blockchain Storage
Yunshu Liu, Zhixuan Fang, Man Hon Cheung +2
Miners in a blockchain system are suffering from ever-increasing storage costs, which in general have not been properly compensated by the users' transaction fees. This reduces the…
Selfish Caching Games on Directed Graphs
Qian Ma, Edmund Yeh, Jianwei Huang
Caching networks can reduce the routing costs of accessing contents by caching contents closer to users. However, cache nodes may belong to different entities and behave selfishly…
Incentive Mechanism Design for Distributed Coded Machine Learning
Ningning Ding, Zhixuan Fang, Lingjie Duan +1
A distributed machine learning platform needs to recruit many heterogeneous worker nodes to finish computation simultaneously. As a result, the overall performance may be degraded…
Economics of Mobile Data Trading Market
Junlin Yu, Man Hon Cheung, Jianwei Huang
To exploit users' heterogeneous data demands, several mobile network operators worldwide have launched the mobile data trading markets, where users can trade mobile data quota with…
Prospect Theoretic Analysis of Privacy-Preserving Mechanism
Guocheng Liao, Xu Chen, Jianwei Huang
We study a problem of privacy-preserving mechanism design. A data collector wants to obtain data from individuals to perform some computations. To relieve the privacy threat to the…