activity
20092021
most citedTask Assignment on Multi-Skill Oriented Spatial Crowdsourcing

187 citations · 569 across the 41 of their papers we have counts for

collaborators

40 papers

cs.SI2021★ 1 cited

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning

Chaozhuo Li, Senzhang Wang, Zheng Liu +3

User identity linkage, which aims to link identities of a natural person across different social platforms, has attracted increasing research interest recently. Existing approaches…

cs.IR2021★ 6 cited

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering

Yiqi Wang, Chaozhuo Li, Zheng Liu +5

Graph neural networks (GNNs) have been widely applied in the recommendation tasks and have obtained very appealing performance. However, most GNN-based recommendation methods suffe…

cs.CR2021★ 1 cited

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…

cs.LG2021★ 6 cited

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…

cs.AI2021

Learning-Aided Heuristics Design for Storage System

Yingtian Tang, Han Lu, Xijun Li +3

Computer systems such as storage systems normally require transparent white-box algorithms that are interpretable for human experts. In this work, we propose a learning-aided heuri…

cs.LG2021★ 4 cited

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding

Shimin Di, Quanming Yao, Yongqi Zhang +1

The scoring function, which measures the plausibility of triplets in knowledge graphs (KGs), is the key to ensure the excellent performance of KG embedding, and its design is also…