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Guan-Xing Chen

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#machine learning Preprint Sep 2026

More Sensors Only One Field: Rethinking Continual Spatio-Temporal Forecasting

Continual spatio-temporal forecasting supports traffic management and environmental monitoring under evolving dynamics and expanding sensor networks. However, conventional graph-based continual learning methods tie forecasting representations to the current sensor layout, so sensor expansion can alter the representatio...

Le-Wei Xie, Hao-Yu Zhang, Jia-Jun Zhou et al. · 0 citations
#machine learning Preprint Aug 2026

PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data

It is shown that cellular perturbation atlases can instead become reinforcement-learning environments, where measured gene responses provide computable rewards for biological reasoning, and introduces PertMind, which combines trusted-trajectory supervised initialization with gene-, pathway-, and format-level reinforcem...

Zhen-Chao Tang, Xiao-Gang Xu, Jia-Fei Wu et al. · 0 citations

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