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20232026
most citediTransformer: Inverted Transformers Are Effective for Time Series Forecasting

383 citations · 504 across the 14 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CE2024

LaMP-Val: Large Language Models Empower Personalized Valuation in Auction

Jie Sun, Tianyu Zhang, Houcheng Jiang +11

Auctions are a vital economic mechanism used to determine the market value of goods or services through competitive bidding within a specific framework. However, much of the curren…

cs.LG2024★ 8 cited

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting

Shiyu Wang, Zhixuan Chu, Yinbo Sun +7

Accurate workload forecasting is critical for efficient resource management in cloud computing systems, enabling effective scheduling and autoscaling. Despite recent advances with…

cs.LG2024

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making

Yang Luo, Shiyu Wang, Zhemeng Yu +4

The surging demand for cloud computing resources, driven by the rapid growth of sophisticated large-scale models and data centers, underscores the critical importance of efficient…

cs.LG2024★ 93 cited

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Shiyu Wang, Haixu Wu, Xiaoming Shi +5

Time series forecasting is widely used in extensive applications, such as traffic planning and weather forecasting. However, real-world time series usually present intricate tempor…

cs.LG2024★ 20 cited

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Yiyuan Yang, Ming Jin, Haomin Wen +9

Diffusion models have been widely used in time series and spatio-temporal data, enhancing generative, inferential, and downstream capabilities. These models are applied across dive…