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20232025
most citedUniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

6 citations · 10 across the 13 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 1 cited

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Yibo Yan, Haomin Wen, Siru Zhong +5

Urban region profiling from web-sourced data is of utmost importance for urban planning and sustainable development. We are witnessing a rising trend of LLMs for various fields, es…

cs.LG2023

Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning

Junfeng Hu, Xu Liu, Zhencheng Fan +2

Spatio-temporal graph learning is a fundamental problem in modern urban systems. Existing approaches tackle different tasks independently, tailoring their models to unique task cha…

cs.LG2023★ 6 cited

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Xu Liu, Junfeng Hu, Yuan Li +4

Multivariate time series forecasting plays a pivotal role in contemporary web technologies. In contrast to conventional methods that involve creating dedicated models for specific…

cs.CV2023

Domain-wise Invariant Learning for Panoptic Scene Graph Generation

Li Li, You Qin, Wei Ji +2

Panoptic Scene Graph Generation (PSG) involves the detection of objects and the prediction of their corresponding relationships (predicates). However, the presence of biased predic…

cs.CV2023★ 1 cited

Towards Complex-query Referring Image Segmentation: A Novel Benchmark

Wei Ji, Li Li, Hao Fei +4

Referring Image Understanding (RIS) has been extensively studied over the past decade, leading to the development of advanced algorithms. However, there has been a lack of research…