87 citations · 210 across the 6 of their papers we have counts for
6 papers
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Jiahao Xie, Sheng Zhang, Jianwei Lu +1
Coarse-to-fine models and cascade segmentation architectures are widely adopted to solve the problem of large scale variations in medical image segmentation. However, those methods…
Experimental demonstration of memory-enhanced scaling for entanglement connection of quantum repeater segments
Yunfei Pu, Sheng Zhang, Yukai Wu +4
The quantum repeater protocol is a promising approach to implement long-distance quantum communication and large-scale quantum networks. A key idea of the quantum repeater protocol…
Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer
Sheng Zhang, Xin Zhang, Weiming Zhang +1
Multi-task transfer learning based on pre-trained language encoders achieves state-of-the-art performance across a range of tasks. Standard approaches implicitly assume the tasks,…
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
Ivan Perov, Daiheng Gao, Nikolay Chervoniy +11
Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. However, current deepfake methods suffer the effects of obscure wo…
Error Model of Radio Fingerprint and PDR Fusion Indoor Localization
Haojun Ai, Kaifeng Tang, Sheng Zhang +1
Multi-source fusion positioning is one of the technical frameworks for obtaining sufficient indoor positioning accuracy. In order to evaluate the effect of multi-source fusion posi…
Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
Zaiwei Chen, Sheng Zhang, Thinh T. Doan +2
Motivated by applications in reinforcement learning (RL), we study a nonlinear stochastic approximation (SA) algorithm under Markovian noise, and establish its finite-sample conver…