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Kui Xu

4 accepted papers

2026

CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models

ICLR 2026poster

Cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling near-atomic-level visualization of biomolecular assemblies. However, the exponential growth in cryo-EM data throughput and complexity, coupled with diverse downstream analytical tasks, necessitates unified computati…

Cited by 0SourceScholar
2026

CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints

ICLR 2026poster

High-resolution structure determination by cryo-electron microscopy (cryo-EM) requires the accurate fitting of an atomic model into an experimental density map. Traditional refinement pipelines like Phenix.real_space_refine and Rosetta are computationally expensive, demand extensive manual tuning, a…

Cited by 0SourcecodeScholar
2025

CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps

AAAI 2025technical

Cryo-electron microscopy (cryo-EM) has revolutionized the field of structural biology, determining structures of large protein machines and sharpening the understanding of fundamental biological processes. Despite cryo-EM’s unique capacity to discover novel proteins from unpurified samples and revea…

Cited by 0SourcePDFScholar
2020

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud

ICRA 2020poster

3D vehicle detection based on point cloud is a challenging task in real-world applications such as autonomous driving. Despite significant progress has been made, we observe two aspects to be further improved. First, the semantic context information in LiDAR is seldom explored in previous works, whi…

Cited by 78SourceScholar