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From the 1 of 5 linked papers with an AI index.

most citedScalable Batch Bayesian Optimization Via Subspace Acquisition Functions

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

math.CO2026

An Exact Dominant Degree Condition for Transitive Tournament Factors in Digraphs

Yufei Chang, Shuo Wei, Jin Yan

Let , let denote the transitive tournament on vertices, and write . We prove that if and an -vertex digraph s…

math.CO2026

The exact total degree threshold for the square of a Hamilton cycle in digraphs

Zhilan Wang, Shuo Wei, Jin Yan

The paper determines the exact minimum total degree condition that guarantees the square of a Hamilton cycle in large directed graphs, confirming the conjecture of DeBiasio et al.…

cs.LG20261 cited

Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions

Dawei Zhan, Zhaoxi Zeng, Shuoxiao Wei +1

Extending Bayesian optimization to batch evaluation can enable the designer to make the most use of parallel computing technology. However, most of current batch approaches do not…

math.CO2026

An Ore-type Theorem for Oriented Discrepancy of Hamilton Cycles

Yufei Chang, Yangyang Cheng, Zhilan Wang +2

Oriented graph discrepancy problems focus on finding specific subgraphs within a given oriented graph that contain a significant number of edges in one direction. This concept…

cs.CV2025

Long-Tailed 3D Detection via Multi-Modal Fusion

Yechi Ma, Neehar Peri, Achal Dave +3

Contemporary autonomous vehicle (AV) benchmarks have advanced techniques for training 3D detectors. While class labels naturally follow a long-tailed distribution in the real world…