Author

H. Zhang

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Aug 2026

Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness

Continuous physiological time series underpin modern clinical monitoring, yet many of the most informative signals are invasive, expensive, or simply unavailable for a given patient. Conditional generation offers a remedy: an absent signal can be synthesized from co-recorded signals and routine clinical variables. Exis...

H. Zhang, Jia-Heng Guo, Yu-Chao Huang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

On the Divergence of Accuracy and Mechanism Consistency in Time Series World Models

A time series world model (TSWM) predicts a controlled system's state from its observed history and planned actions and exogenous inputs. Current approaches build forecasters with actions as covariates, trained and evaluated on prediction error under the executed plan. Yet world models compare unexecuted plans, but the...

H. Zhang, Jia-Heng Guo, Zheng Xu et al. · 0 citations

#machine learning Preprint Aug 2026

CAST: Context- and Anomaly Structure-Conditioned Time Series Anomaly Generation

CAST is proposed, a Context- and Anomaly Structure-conditioned Time series anomaly generation framework with principled two-stage pretraining and finetuning strategy that consistently outperforms state-of-the-art anomaly generation methods in terms of both generation fidelity and downstream task utility.

H. Zhang, Jie Peng, Song-Yuan Sui et al. · 0 citations