activity
20212024
most citedCriticality-Enhanced Quantum Sensing in the Anisotropic Quantum Rabi Model

24 citations · 26 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Unsegment Anything by Simulating Deformation

Jiahao Lu, Xingyi Yang, Xinchao Wang

Foundation segmentation models, while powerful, pose a significant risk: they enable users to effortlessly extract any objects from any digital content with a single click, potenti…

cs.CV2024

Unsupervised Template-assisted Point Cloud Shape Correspondence Network

Jiacheng Deng, Jiahao Lu, Tianzhu Zhang

Unsupervised point cloud shape correspondence aims to establish point-wise correspondences between source and target point clouds. Existing methods obtain correspondences directly…

cs.CV2023

SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence

Jiacheng Deng, Chuxin Wang, Jiahao Lu +4

Unsupervised point cloud shape correspondence aims to obtain dense point-to-point correspondences between point clouds without manually annotated pairs. However, humans and some an…

math.OC2023

Sliding at first order: Higher-order momentum distributions for discontinuous image registration

Lili Bao, Jiahao Lu, Shihui Ying +1

In this paper, we propose a new approach to deformable image registration that captures sliding motions. The large deformation diffeomorphic metric mapping (LDDMM) registration met…

quant-ph202324 cited

Criticality-Enhanced Quantum Sensing in the Anisotropic Quantum Rabi Model

Xin Zhu, Jia-Hao Lü, Wen Ning +4

Quantum systems that undergo quantum phase transitions exhibit divergent susceptibility and can be exploited as probes to estimate physical parameters. We generalize the dynamic fr…

cs.CV20212 cited

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers

Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao +2

Federated learning frameworks typically require collaborators to share their local gradient updates of a common model instead of sharing training data to preserve privacy. However,…