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Tianhong Li

2 papers indexed

arxivcs.LGcs.AI2026-07-05

Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series

Zitao Shuai, Zongzhe Xu, Yuntian Wu, Sirui Li, Tianhong Li, Yuzhe Yang

Generative models have changed how machine learning represents complex data distributions, especially in language and vision, yet many real-world systems are observed instead as continuous, high-dimensional, and noisy sensor time series. Existing generative modeling of sensor dat…

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crossrefWater2025-06-23Cited by 10

Comparative Analysis of Machine/Deep Learning Models for Single-Step and Multi-Step Forecasting in River Water Quality Time Series

Hongzhe Fang, Tianhong Li, Huiting Xian

There is a lack of a systematic comparison framework that can assess models in both single-step and multi-step forecasting situations while balancing accuracy, training efficiency, and prediction horizon. This study aims to evaluate the predictive capabilities of machine learning…

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