activity
20162023
most citedA Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems

23 citations · 59 across the 16 of their papers we have counts for

collaborators

16 papers

cs.GT2023

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…

cs.CR2023★ 1 cited

SAKSHI: Decentralized AI Platforms

Suma Bhat, Canhui Chen, Zerui Cheng +8

Large AI models (e.g., Dall-E, GPT4) have electrified the scientific, technological and societal landscape through their superhuman capabilities. These services are offered largely…

cs.CR2023★ 11 cited

MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments

Rongwu Xu, Sen Yang, Fan Zhang +1

Single sign-on (SSO) allows users to authenticate to third-party applications through a central identity provider. Despite their wide adoption, deployed SSO systems suffer from pri…

cs.CL2023

Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation

Yujie Wang, Chao Huang, Liner Yang +5

This paper introduces a novel crowdsourcing worker selection algorithm, enhancing annotation quality and reducing costs. Unlike previous studies targeting simpler tasks, this study…

cs.DC2022

Crowdsourcing Work as Mining: A Decentralized Computation and Storage Paradigm

Canhui Chen, Zerui Cheng, Shutong Qu +1

Proof-of-Work (PoW) consensus mechanism is popular among current blockchain systems, which leads to an increasing concern about the tremendous waste of energy due to massive meanin…

cs.CR2022★ 6 cited

SoK: Play-to-Earn Projects

Jingfan Yu, Mengqian Zhang, Xi Chen +1

Play-to-earn is one of the prospective categories of decentralized applications. The play-to-earn projects combine blockchain technology with entertaining games and finance, attrac…

cs.LG2022★ 9 cited

Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning

Pihe Hu, Ling Pan, Yu Chen +2

Multi-user delay constrained scheduling is important in many real-world applications including wireless communication, live streaming, and cloud computing. Yet, it poses a critical…

cs.NI2022

TIPS: Transaction Inclusion Protocol with Signaling in DAG-based Blockchain

Canhui Chen, Xu Chen, Zhixuan Fang

Directed Acyclic Graph (DAG) is a popular approach to achieve scalability of blockchain networks. Due to its high efficiency in data communication and great scalability, DAG has be…

math.OC2021

Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints

Qingsong Liu, Wenfei Wu, Longbo Huang +1

In this paper, we develop a novel virtual-queue-based online algorithm for online convex optimization (OCO) problems with long-term and time-varying constraints and conduct a perfo…

cs.GT2021★ 2 cited

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…

cs.LG2021★ 1 cited

Continuous Mean-Covariance Bandits

Yihan Du, Siwei Wang, Zhixuan Fang +1

Existing risk-aware multi-armed bandit models typically focus on risk measures of individual options such as variance. As a result, they cannot be directly applied to important rea…

cs.GT2020★ 2 cited

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…

cs.GT2018★ 1 cited

Loyalty Programs in the Sharing Economy: Optimality and Competition

Zhixuan Fang, Longbo Huang, Adam Wierman

Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing platforms use loyalty programs to heavily subsidize resource providers, encouragin…

cs.AI2018★ 23 cited

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems

Ling Pan, Qingpeng Cai, Zhixuan Fang +2

Bike sharing provides an environment-friendly way for traveling and is booming all over the world. Yet, due to the high similarity of user travel patterns, the bike imbalance probl…

cs.GT2016★ 3 cited

Market Share Analysis with Brand Effect

Zhixuan Fang, Longbo Huang

In this paper, we investigate the effect of brand in market competition. Specifically, we propose a variant Hotelling model where companies and customers are represented by points…

cs.GT2016

Prices and Subsidies in the Sharing Economy

Zhixuan Fang, Longbo Huang, Adam Wierman

The growth of the sharing economy is driven by the emergence of sharing platforms, e.g., Uber and Lyft, that match owners looking to share their resources with customers looking to…