28 citations · 30 across the 6 of their papers we have counts for
6 papers
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
Pan Du, Suyun Zhao, Zisen Sheng +2
Semi-Supervised Learning (SSL) under class distribution mismatch aims to tackle a challenging problem wherein unlabeled data contain lots of unknown categories unseen in the labele…
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Yixuan Liu, Suyun Zhao, Li Xiong +2
Federated Learning, as a popular paradigm for collaborative training, is vulnerable against privacy attacks. Different privacy levels regarding users' attitudes need to be satisfie…
Oracle-guided Contrastive Clustering
Mengdie Wang, Liyuan Shang, Suyun Zhao +4
Deep clustering aims to learn a clustering representation through deep architectures. Most of the existing methods usually conduct clustering with the unique goal of maximizing clu…
FLDP: Flexible strategy for local differential privacy
Dan Zhao, Suyun Zhao, Ruixuan Liu +3
Local differential privacy (LDP), a technique applying unbiased statistical estimations instead of real data, is often adopted in data collection. In particular, this technique is…
An Accelerator for Rule Induction in Fuzzy Rough Theory
Suyun Zhao, Zhigang Dai, Xizhao Wang +4
Rule-based classifier, that extract a subset of induced rules to efficiently learn/mine while preserving the discernibility information, plays a crucial role in human-explainable a…
Mixed-Mean Inequality for Submatrix
Lin Si, Suyun Zhao
For a matrix with nonnegative entries and any submatrix of , let and denote the arit…