15 citations · 28 across the 9 of their papers we have counts for
9 papers
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
Jining Wang, Chuan Chen, Zibin Zheng +1
To solve the inherent incompleteness of knowledge graphs (KGs), numbers of knowledge graph completion (KGC) models have been proposed to predict missing links from known triples. A…
Contextual Dictionary Lookup for Knowledge Graph Completion
Jining Wang, Delai Qiu, YouMing Liu +4
Knowledge graph completion (KGC) aims to solve the incompleteness of knowledge graphs (KGs) by predicting missing links from known triples, numbers of knowledge graph embedding (KG…
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning
Lin Shu, Chuan Chen, Zibin Zheng
Graph contrastive learning defines a contrastive task to pull similar instances close and push dissimilar instances away. It learns discriminative node embeddings without supervise…
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
YanMing Hu, Chuan Chen, BoWen Deng +4
Anomaly detection on attributed graphs is a crucial topic for its practical application. Existing methods suffer from semantic mixture and imbalance issue because they mainly focus…
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng
In the stock market, a successful investment requires a good balance between profits and risks. Based on the learning to rank paradigm, stock recommendation has been widely studied…
When Digital Economy Meets Web3.0: Applications and Challenges
Chuan Chen, Lei Zhang, Yihao Li +5
With the continuous development of web technology, Web3.0 has attracted a considerable amount of attention due to its unique decentralized characteristics. The digital economy is a…
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots
Shaokang Cai, Dezhi Han, Zibin Zheng +2
The rapid development of artificial intelligence (AI) technology has enabled large-scale AI applications to land in the market and practice. However, while AI technology has brough…
Distributed Evolution Strategies for Black-box Stochastic Optimization
Xiaoyu He, Zibin Zheng, Chuan Chen +3
This work concerns the evolutionary approaches to distributed stochastic black-box optimization, in which each worker can individually solve an approximation of the problem with na…
HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems
Jiezhu Cheng, Cuiyun Gao, Zibin Zheng
Modern software systems are usually highly configurable, providing users with customized functionality through various configuration options. Understanding how system performance v…