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20232026
most citedAnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

34 citations · 41 across the 19 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 1 cited

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions

Xingwei He, Qianru Zhang, A-Long Jin +2

Large Vision-Language Models (LVLMs) have achieved remarkable progress on visual perception and linguistic interpretation. Despite their impressive capabilities across various task…

cs.LG2024

HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning

Qianru Zhang, Xinyi Gao, Haixin Wang +3

Spatial-temporal graph representations play a crucial role in urban sensing applications, including traffic analysis, human mobility behavior modeling, and citywide crime predictio…

cs.IR2024

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security

Qianru Zhang, Peng Yang, Junliang Yu +4

The widespread adoption of smartphones and Location-Based Social Networks has led to a massive influx of spatio-temporal data, creating unparalleled opportunities for enhancing Poi…

cs.CE2024

Billiards Sports Analytics: Datasets and Tasks

Qianru Zhang, Zheng Wang, Cheng Long +1

Nowadays, it becomes a common practice to capture some data of sports games with devices such as GPS sensors and cameras and then use the data to perform various analyses on sports…

cs.LG2024★ 5 cited

A Survey of Generative Techniques for Spatial-Temporal Data Mining

Qianru Zhang, Haixin Wang, Cheng Long +8

This paper focuses on the integration of generative techniques into spatial-temporal data mining, considering the significant growth and diverse nature of spatial-temporal data. Wi…