activity
20202026
most citedFrom Federated Learning to Federated Neural Architecture Search: A Survey

10 citations · 24 across the 5 of their papers we have counts for

collaborators

6 papers

math.RT2026

Unipotent quotients in compactified Coxeter varieties

Joseph Muller

In this paper, we extend Lusztig's description of quotients of Coxeter varieties by unipotent radicals of parabolic subgroups, to quotients of certain open neighbourhoods in the sm…

cs.CV2026

Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search

Haoyu Zhang, Zhihao Yu, Rui Wang +3

Modern computer vision requires balancing predictive accuracy with real-time efficiency, yet the high inference cost of large vision models (LVMs) limits deployment on resource-con…

cs.CV2024

360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network

Yichen Chen, Yiqi Pan, Ruyu Liu +4

To enhance the performance and effect of AR/VR applications and visual assistance and inspection systems, visual simultaneous localization and mapping (vSLAM) is a fundamental task…

cs.LG2022★ 4 cited

A Survey on Computationally Efficient Neural Architecture Search

Shiqing Liu, Haoyu Zhang, Yaochu Jin

Neural architecture search (NAS) has become increasingly popular in the deep learning community recently, mainly because it can provide an opportunity to allow interested users wit…

cs.DC2020★ 10 cited

From Federated Learning to Federated Neural Architecture Search: A Survey

Hangyu Zhu, Haoyu Zhang, Yaochu Jin

Federated learning is a recently proposed distributed machine learning paradigm for privacy preservation, which has found a wide range of applications where data privacy is of prim…

cs.NE2020★ 10 cited

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search

Haoyu Zhang, Yaochu Jin, Ran Cheng +1

The performance of a deep neural network is heavily dependent on its architecture and various neural architecture search strategies have been developed for automated network archit…