activity
20192026
most citedA Comprehensive Survey on Deep Learning Techniques in Educational Data Mining

5 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

math.NT2026

On the OpenAI proof that Landau-Siegel zeros do not exist

William D. Banks

A recent manuscript of OpenAI asserts that Landau-Siegel zeros do not exist. Here, we give a detailed account of its argument, arranged as a direct proof with explicit constants. T…

cs.CV2026

Multi-instance robust fitting for non-classical geometric models

Zongliang Zhang, Shuxiang Li, Xingwang Huang +1

Most existing robust fitting methods are designed for classical models, such as lines, circles, and planes. In contrast, fewer methods have been developed to robustly handle non-cl…

cs.CV2024★ 1 cited

Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes

Siyu Chen, Ting Han, Changshe Zhang +4

RGB-D has gradually become a crucial data source for understanding complex scenes in assisted driving. However, existing studies have paid insufficient attention to the intrinsic s…

cs.LG2023★ 5 cited

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining

Yuanguo Lin, Hong Chen, Wei Xia +3

Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses the power of computational techniques to analyze educational data. With the increasing compl…

cs.CV2019

Fast Regularity-Constrained Plane Reconstruction

Yangbin Lin, Jialian Li, Cheng Wang +3

Man-made environments typically comprise planar structures that exhibit numerous geometric relationships, such as parallelism, coplanarity, and orthogonality. Making full use of th…