Dahai Yu
2 indexed papers
Recent (6 mo)
2With code
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226
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ML×2AI×2
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Research Timeline
2026
EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction
EnergyMamba proposes an uncertainty-aware, graph-enhanced selective state space model to significantly improve both the accuracy and reliability of energy consumption prediction by explicitly modeling spatial dependencies.
E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation
E4GEN introduces an explainable diffusion framework that significantly improves time-series generation by specifically focusing on and controlling the fidelity of extreme events.
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Papers
cs.LGcs.AIRecentJun 1, 2026
E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation
E4GEN introduces an explainable diffusion framework that significantly improves time-series generation by specifically focusing on and controlling the fidelity of extreme events.
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cs.AIcs.LGRecentMay 30, 2026