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20232026
most citedWarpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

42 citations · 53 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

Adaptive Time Series Reasoning via Segment Selection

Shvat Messica, Jiawen Zhang, Kevin Li +2

Time series reasoning tasks often start with a natural language question and require targeted analysis of a time series. Evidence may span the full series or appear in a few short…

cs.LG2025

Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains

Jiawen Zhang, Zhenwei Zhang, Shun Zheng +3

Time-Series Foundation Models (TSFMs) are rapidly transitioning from research prototypes to core components of critical decision-making systems, driven by their impressive zero-sho…

cs.LG2025

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting

Xiaobin Hong, Jiawen Zhang, Wenzhong Li +2

The rise of foundation models has revolutionized natural language processing and computer vision, yet their best practices to time series forecasting remains underexplored. Existin…

cs.LG2024

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer

Jiawen Zhang, Shun Zheng, Xumeng Wen +3

Numerous industrial sectors necessitate models capable of providing robust forecasts across various horizons. Despite the recent strides in crafting specific architectures for time…

cs.LG2023★ 1 cited

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons

Jiawen Zhang, Xumeng Wen, Zhenwei Zhang +3

Delivering precise point and distributional forecasts across a spectrum of prediction horizons represents a significant and enduring challenge in the application of time-series for…

cs.LG2023★ 42 cited

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

Jiawen Zhang, Shun Zheng, Wei Cao +2

Irregularly sampled multivariate time series are ubiquitous in various fields, particularly in healthcare, and exhibit two key characteristics: intra-series irregularity and inter-…