28 citations · 34 across the 7 of their papers we have counts for
8 papers
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…
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
Bowen Hao, Jing Zhang, Cuiping Li +2
The proliferation of massive open online courses (MOOCs) demands an effective way of course recommendation for jobs posted in recruitment websites, especially for the people who ta…
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Bowen Hao, Jing Zhang, Hongzhi Yin +2
Cold-start problem is a fundamental challenge for recommendation tasks. Despite the recent advances on Graph Neural Networks (GNNs) incorporate the high-order collaborative signal…
JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment
Bo Chen, Jing Zhang, Xiaobin Tang +2
Abstract. Cross-lingual knowledge alignment is the cornerstone in building a comprehensive knowledge graph (KG), which can benefit various knowledge-driven applications. As the str…