Predicting responses to genetic perturbation is pivotal for elucidating gene regulatory machinery. However, existing methods often rely on statistical perspectives to model differential expression, overlooking the constraints of the underlying molecular interactome, which renders predictions susceptible to spurious cor...
Fei-Yu Ma, Yun-Fei Zhang, Hau-San Wong et al.· Proceedings of the Thirty-Fi...· 0 citations
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
This work designs a semantic structure-based feature refinement module to adaptively modulate subject-centric and contextual visual features and incorporates a visual semantic consistency verification module, which leverages a subject-aware contrastive learning strategy to constrain and verify the semantic corresponden...
Jie-Peng Cai, Zhen Xu, Tie-Song Zhao et al.· Proceedings of the Thirty-Fi...· 0 citations
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