187 citations · 486 across the 16 of their papers we have counts for
17 papers
Personalized w-Event Privacy for Infinite Stream Estimation
Leilei Du, Xu Zhou, Peng Cheng +4
In applications such as event monitoring, log analysis, and video querying, -event privacy protects individual data within a sliding time window while supporting accurate stream…
Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
Yushi Sun, Jiachuan Wang, Peng Cheng +3
Annotation through crowdsourcing draws incremental attention, which relies on an effective selection scheme given a pool of workers. Existing methods propose to select workers base…
Wait to be Faster: a Smart Pooling Framework for Dynamic Ridesharing
Xiaoyao Zhong, Jiabao Jin, Peng Cheng +4
Ridesharing services, such as Uber or Didi, have attracted considerable attention in recent years due to their positive impact on environmental protection and the economy. Existing…
Efficient Non-Learning Similar Subtrajectory Search
Jiabao Jin, Peng Cheng, Lei Chen +2
Similar subtrajectory search is a finer-grained operator that can better capture the similarities between one query trajectory and a portion of a data trajectory than the tradition…
Dynamic Private Task Assignment under Differential Privacy
Leilei Du, Peng Cheng, Libin Zheng +4
Data collection is indispensable for spatial crowdsourcing services, such as resource allocation, policymaking, and scientific explorations. However, privacy issues make it challen…
Online Ridesharing with Meeting Points [Technical Report]
Jiachuan Wang, Peng Cheng, Libin Zheng +2
Nowadays, ridesharing becomes a popular commuting mode. Dynamically arriving riders post their origins and destinations, then the platform assigns drivers to serve them. In ridesha…
Efficient k-clique Listing with Set Intersection Speedup [Technical Report]
Zhirong Yuan, You Peng, Peng Cheng +4
Listing all k-cliques is a fundamental problem in graph mining, with applications in finance, biology, and social network analysis. However, owing to the exponential growth of the…
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
Jiabao Jin, Peng Cheng, Lei Chen +2
With the development of traffic prediction technology, spatiotemporal prediction models have attracted more and more attention from academia communities and industry. However, most…
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server
Maocheng Li, Jiachuan Wang, Libin Zheng +4
In this paper, we study the privacy-preserving task assignment in spatial crowdsourcing, where the locations of both workers and tasks, prior to their release to the server, are pe…
A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
Peng Cheng, Jiabao Jin, Lei Chen +2
With the rapid development of smart mobile devices, the car-hailing platforms (e.g., Uber or Lyft) have attracted much attention from both the academia and the industry. In this pa…
CoinMagic: A Differential Privacy Framework for Ring Signature Schemes
Wangze Ni, Han Wu, Peng Cheng +4
By allowing users to obscure their transactions via including "mixins" (chaff coins), ring signature schemes have been widely used to protect a sender's identity of a transaction i…
Quality-Assured Synchronized Task Assignment in Crowdsourcing
Jiayang Tu, Peng Cheng, Lei Chen
With the rapid development of crowdsourcing platforms that aggregate the intelligence of Internet workers, crowdsourcing has been widely utilized to address problems that require h…
FROG: A Fast and Reliable Crowdsourcing Framework (Technical Report)
Peng Cheng, Xiang Lian, Xun Jian +1
For decades, the crowdsourcing has gained much attention from both academia and industry, which outsources a number of tasks to human workers. Existing works considered improving t…
Task Assignment on Spatial Crowdsourcing [Experiments and Analyses] (Technical Report)
Peng Cheng, Xun Jian, Lei Chen
Recently, with the rapid development of mobile devices and the crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community. Specific…
Prediction-Based Task Assignment in Spatial Crowdsourcing (Technical Report)
Peng Cheng, Xiang Lian, Lei Chen +1
Spatial crowdsourcing refers to a system that periodically assigns a number of location-based workers with spatial tasks nearby (e.g., taking photos or videos at some spatial locat…
Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing
Peng Cheng, Xiang Lian, Lei Chen +2
With the rapid development of mobile devices and crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community. Specifically, the spat…
Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers
Peng Cheng, Xiang Lian, Zhao Chen +4
With the rapid development of mobile devices and the crowdsourcig platforms, the spatial crowdsourcing has attracted much attention from the database community, specifically, spati…