output
20082026
most citedUltra-Scalable Spectral Clustering and Ensemble Clustering

455 citations

135 papers

cs.RO2026

CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation

Kailun Huang, Zikang Xie, Yanzhe Xie +8

Humans primarily rely on walking and running to traverse complex terrains. Similarly, humanoid robots should be able to smoothly transition between walking and running while mainta…

cs.CV2026

UFO-DETR: Frequency-Guided End-to-End Detector for UAV Tiny Objects

Yuankai Chen, Kai Lin, Qihong Wu +6

Small target detection in UAV imagery faces significant challenges such as scale variations, dense distribution, and the dominance of small targets. Existing algorithms rely on man…

math.NA2025

Exact finite element formulation of quasi-3D beam based on analytical internal force fields for accurate static analysis of FG sandwich beams

Wenxiong Li, Suiyin Chen

This paper presents a novel exact finite element formulation of quasi-3D beam for high-fidelity analysis of functionally graded sandwich beams. Unlike conventional displacement-bas…

cs.CY2024★ 5 cited

Achieving employees agile response in e-governance: Exploring the synergy of technology and group collaboration

Ying Bao, Xusen Cheng, Linlin Su +1

The transformation of technology and collaboration methods driven by the e-government system forces government employees to reconsider their daily workflow and collaboration with c…

quant-ph2024★ 4 cited

Enhancing Variational Quantum Circuit Training: An Improved Neural Network Approach for Barren Plateau Mitigation

Zhehao Yi, Yanying Liang, Haozhen Situ

Combining classical optimization with parameterized quantum circuit evaluation, variational quantum algorithms (VQAs) are among the most promising algorithms in near-term quantum c…

cs.LG2024★ 29 cited

Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization

Guangrui Yang, Ming Li, Han Feng +1

Graph convolutional networks (GCNs) have emerged as powerful models for graph learning tasks, exhibiting promising performance in various domains. While their empirical success is…