Shangqing Xu — accepted AI-conference papers

2026

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness

Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash

ICLR 2026poster

Time-series forecasting is an essential task with wide real-world applications across domains. While recent advances in deep learning have enabled time-series forecasting models with accurate predictions, there remains considerable debate over which architectures and design components, such as serie…

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2024

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur +5

NeurIPS 2024poster

Time series data are ubiquitous across a wide range of real-world domains. While real-world time series analysis (TSA) requires human experts to integrate numerical series data with multimodal domain-specific knowledge, most existing TSA models rely solely on numerical data, overlooking the signific…

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