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Mingjun Xiao
University of Science and Technology of China
Distributed computingDestination-Sequenced Distance Vector routingComputer networkComputer scienceReal-time computing
78Publications
15H-index
1,053Citations
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Publications 78
Newest
#1Yubin DuanH-Index: 2
#1Yubin DuanH-Index: 1
Last. Jie WuH-Index: 99
view all 4 authors...
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#1Mingjun Xiao (USTC: University of Science and Technology of China)H-Index: 1
#2Kai Ma (USTC: University of Science and Technology of China)H-Index: 1
Last. Xiaofang Zhou (UQ: University of Queensland)H-Index: 50
view all 7 authors...
In this paper, we study a new type of spatial crowdsourcing, namely competitive detour tasking, where workers can make detours from their original travel paths to perform multiple tasks, and each worker is allowed to compete for preferred tasks by strategically claiming his/her detour costs. The objective is to make suitable task assignment by maximizing the social welfare of crowdsourcing systems and protecting workers' private sensitive information. We first model the task assignment problem a...
14 CitationsSource
#1Mingjun Xiao (USTC: University of Science and Technology of China)H-Index: 15
#2Guoju Gao (USTC: University of Science and Technology of China)H-Index: 6
Last. Liusheng Huang (USTC: University of Science and Technology of China)H-Index: 27
view all 5 authors...
Mobile crowdsensing is a new paradigm in which a requester can recruit a group of mobile users via a platform and coordinate them to perform some sensing tasks by using their smartphones. In mobile crowdsensing, each user might perform multiple tasks with different sensing qualities. Meanwhile, the users participating in the crowdsensing will ask for sufficient rewards to compensate for their expenditures. Hence, an important problem is how to recruit the users with minimum cost while achieving ...
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#1Hui ZhaoH-Index: 2
#2Mingjun XiaoH-Index: 15
Last. Sheng ZhangH-Index: 15
view all 6 authors...
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#1Guoju Gao (USTC: University of Science and Technology of China)H-Index: 6
#2Mingjun Xiao (USTC: University of Science and Technology of China)H-Index: 15
Last. Guiliang Xiao (USTC: University of Science and Technology of China)H-Index: 1
view all 6 authors...
Along with the generation of Internet of Things (IoT), the values of tremendous volumes of sensing data will be slowly unlocked. Thus, crowd-sensed data trading as a new business paradigm has recently attracted increasing attention. A typical data trading system contains a platform, data consumers, and crowd workers. The platform recruits crowd workers to collect data and then sells the data to consumers. In this article, we design a differentially private crowd-sensed data trading mechanism, ca...
1 CitationsSource
#1Sheng ZhangH-Index: 15
#2Yu LiangH-Index: 2
Last. Jie WuH-Index: 99
view all 5 authors...
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#1Hai Tang (USTC: University of Science and Technology of China)H-Index: 1
#2Mingjun Xiao (USTC: University of Science and Technology of China)H-Index: 15
Last. Hui Zhao (USTC: University of Science and Technology of China)H-Index: 2
view all 4 authors...
In the past few years, Machine Learning (ML) has aroused great interest in both academic and industrial societies. ML is booming because of its huge application potential in many areas, such as facial recognition, natural language processing, self-driving car, and so on. Nevertheless, one of the key problems is the scarcity of labeled data. Fortunately, mobile crowdsourcing makes it possible to recruit mobile workers to label large-scale data by offering them small payments. In this paper, we us...
2 CitationsSource
#1Guoju Gao (USTC: University of Science and Technology of China)H-Index: 6
#2Jie Wu (TU: Temple University)H-Index: 99
Last. Guoliang Chen (USTC: University of Science and Technology of China)H-Index: 1
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Mobile crowdsensing, through which a requester can recruit a group of crowd workers via a platform and coordinate them to perform some sensing tasks, has attracted lots of attention recently. However, most of the existing mobile crowdsensing systems assume that the qualities of workers are known in advance. Based on this assumption, they study the task assignment and worker recruitment problems. Unfortunately, the qualities of workers are generally unknown in reality, so the platform must find t...
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#1Yubin Duan (TU: Temple University)H-Index: 2
#1Yubin Duan (TU: Temple University)H-Index: 1
Last. Jie Wu (TU: Temple University)H-Index: 99
view all 4 authors...
The ride-hailing system has become popular around the world. The Service Providers (SPs) such as Uber and Didi dispatch passenger orders based on their location information. However, one concern from the public is whether the SPs could protect the location privacy of passengers. In this paper, we propose an order dispatch scheme that could preserve the location privacy of passengers based on their requirements. Our scheme uses cloaking regions in which the SPs cannot distinguish actual locations...
1 CitationsSource
Jul 1, 2019 in ICDCS (International Conference on Distributed Computing Systems)
#1Nanhuan Mi (USTC: University of Science and Technology of China)
#2Xiaoxue Zhang (USTC: University of Science and Technology of China)
Last. Panlong Yang (USTC: University of Science and Technology of China)H-Index: 21
view all 7 authors...
The ever-increasing number of IoT devices in our surrounding environment bring us tremendous amount of opportunities but also challenges including limited battery life, low computational capability and scalability of multiple access. Recent advances in backscatter communication have enabled ubiquitous IoT devices to communicate in a cost-and power-efficient way. However, most of the proposed backscatter solutions nowadays focus on the single tag paradigm, i.e., multiple tags do not transmit simu...
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