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
Visual grounding aims to localize target objects based on natural language descriptions, and the core challenge lies in the cross-modal gap, which is partly caused by the significant differences in semantic structure between language and vision. Existing methods typically rely on holistic sentence-level semantic repres...
Jie-Peng Cai, Zhen Xu, Tie-Song Zhao et al.· Proceedings of the Thirty-Fi...· 0 citations
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