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20232026
most citedExploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

6 citations · 27 across the 25 of their papers we have counts for

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5 papers · 1 filter

cs.AI2023

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction

Tangwen Qian, Yile Chen, Gao Cong +2

Multi-agent trajectory prediction, as a critical task in modeling complex interactions of objects in dynamic systems, has attracted significant research attention in recent years.…

cs.DB2023

Trajectory Similarity Measurement: An Efficiency Perspective

Yanchuan Chang, Egemen Tanin, Gao Cong +2

Trajectories that capture object movement have numerous applications, in which similarity computation between trajectories often plays a key role. Traditionally, the similarity bet…

cs.IR2023★ 1 cited

UnifiedSSR: A Unified Framework of Sequential Search and Recommendation

Jiayi Xie, Shang Liu, Gao Cong +1

In this work, we propose a Unified framework of Sequential Search and Recommendation (UnifiedSSR) for joint learning of user behavior history in both search and recommendation scen…

cs.LG2023★ 6 cited

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Zezhi Shao, Fei Wang, Yongjun Xu +10

Multivariate Time Series (MTS) analysis is crucial to understanding and managing complex systems, such as traffic and energy systems, and a variety of approaches to MTS forecasting…

cs.DB2023★ 2 cited

City Foundation Models for Learning General Purpose Representations from OpenStreetMap

Pasquale Balsebre, Weiming Huang, Gao Cong +1

Pre-trained Foundation Models (PFMs) have ushered in a paradigm-shift in Artificial Intelligence, due to their ability to learn general-purpose representations that can be readily…