A vision of urban computing is presented, which aims to unlock the power of knowledge from big and heterogeneous data collected in urban spaces and apply this powerful information to solve critical problems the authors' cities face today, ultimately fostering sustainable ecosystems and elevating the human experience.
Sijie Ruan, Yu Zheng, Yuxuan Liang et al.· Proceedings of the 32nd ACM...· 0 citations
LucaCell, a sequence-centric foundation model that represents genes through pre-trained mRNA sequence embeddings rather than static gene annotations, is presented, showing that sequence-informed gene representation can improve the generalization of single-cell foundation models across species, data types, and predictiv...
Yan Sun, Yong He, Min-Si Ren et al.· bioRxiv· 0 citations
This tutorial provides a comprehensive, end-to-end view of LLM interpretability, transitioning from microscopic neural analysis to macroscopic application and deployment, and explores how these interpretability paradigms scale and inspire the design of frontier architectures, agentic systems, and thinking models.
Wei Zhang, Zheng-Fu He, Lu-Lu Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
This tutorial provides a comprehensive, end-to-end view of LLM interpretability, transitioning from microscopic neural analysis to macroscopic application and deployment, and explores how these interpretability paradigms scale and inspire the design of frontier architectures, agentic systems, and thinking models.
Wei Zhang, Zhengfu He, Lucia Zhang et al.· Proceedings of the 32nd ACM...· 0 citations
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