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Liusheng Huang
University of Science and Technology of China
Distributed computingWireless sensor networkComputer networkComputer scienceReal-time computing
429Publications
26H-index
3,175Citations
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Publications 390
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May 4, 2020 in VLDB (Very Large Data Bases)
#1Shaowei Wang (Tencent)
#2Yuqiu Qian (Tencent)
Last. Hongli Xu (USTC: University of Science and Technology of China)H-Index: 15
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Apr 11, 2020 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Bangzhou Xin (USTC: University of Science and Technology of China)
#2Wei Yang (USTC: University of Science and Technology of China)H-Index: 15
Last. Liusheng Huang (USTC: University of Science and Technology of China)H-Index: 26
view all 6 authors...
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Feb 7, 2020 in AAAI (National Conference on Artificial Intelligence)
#1Zhenbo Xu (USTC: University of Science and Technology of China)H-Index: 1
#2Wei Zhang (Baidu)H-Index: 1
Last. Liusheng Huang (USTC: University of Science and Technology of China)H-Index: 26
view all 9 authors...
2 Citations
#1Mingjun XiaoH-Index: 12
#2Guoju GaoH-Index: 5
Last. Liusheng HuangH-Index: 26
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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#1Yang DuH-Index: 2
#2Yu-E SunH-Index: 8
Last. Hansong GuoH-Index: 4
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#1Zhenyu Zhu (USTC: University of Science and Technology of China)H-Index: 2
#2Liusheng Huang (USTC: University of Science and Technology of China)H-Index: 26
Last. Hongli Xu (USTC: University of Science and Technology of China)H-Index: 15
view all 3 authors...
Abstract Thompson sampling utilizes Bayesian heuristic strategy to balance the exploration-exploitation trade-off. It has been applied in a variety of practical domains and achieved great success. Despite being empirically efficient and powerful, Thompson sampling has eluded theoretical analysis. Existing analyses of Thompson sampling only provide regret upper bound of O ˜ ( d 3 / 2 T ) for linear contextual bandits, which is worse than the information-theoretic lower bound by a factor of d . In...
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#1Yang Du (USTC: University of Science and Technology of China)H-Index: 2
#2Yu-E Sun (Soochow University (Suzhou))H-Index: 8
Last. Xiaocan Wu (Soochow University (Suzhou))H-Index: 1
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Abstract Crowdsourcing has been proven to be a useful tool for the tasks which are hard for computers. Unfortunately, workers with uneven expertise are likely to provide low-quality or even deliberately wrong data. A reliability model that precisely describes workers' performance on the tasks can benefit the development of both task assignment mechanism and truth discovery method. However, existing methods cannot model workers' fine-grained reliability levels accurately. In this paper, we consid...
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#1Guoju GaoH-Index: 5
#2Mingjun XiaoH-Index: 12
Last. Guiliang XiaoH-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...
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