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Xiongxin Yang

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Conference 2026

Near-Optimal Dynamic Data Structures for Maximum Depth and Klee's Measure of Boxes

This approach integrates a classic grid-based partition framework with a novel charging analysis that controls the cost of structure-sensitive offline routines within each cell, to perform a global aggregation of the update time, by circumventing the worst-case costs associated with individual cell updates.

S. Bhore, Subhash Suri, Jie Xue et al. · 0 citations
Preprint Jul 2026

Learning $\mathsf{AC}^0$ under Locally Sampleable Graphical Models

A quasipolynomial-time learner for $\mathsf{AC}^0$ under graphical models that admit efficient local samplers, circumventing the polynomial-growth requirement in prior work.

Weiming Feng, Xiongxin Yang, Yixiao Yu et al. · 0 citations

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