1.2k citations · 4.2k across the 61 of their papers we have counts for
18 papers · 1 filter
Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach
Dan Lin, Jiajing Wu, Qi Yuan +1
As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of…
When Services Computing Meets Blockchain: Challenges and Opportunities
Xiaoyun Li, Zibin Zheng, Hong-Ning Dai
Services computing can offer a high-level abstraction to support diverse applications via encapsulating various computing infrastructures. Though services computing has greatly boo…
Tensor Completion via Convolutional Sparse Coding Regularization
Zhebin Wu, Tianchi Liao, Chuan Chen +3
Tensor data often suffer from missing value problem due to the complex high-dimensional structure while acquiring them. To complete the missing information, lots of Low-Rank Tensor…
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
Tao Huang, Yihan Zhang, Jiajing Wu +2
Graph convolutional networks (GCNs) have been employed as a kind of significant tool on many graph-based applications recently. Inspired by convolutional neural networks (CNNs), GC…
From Technology to Society: An Overview of Blockchain-based DAO
Lu Liu, Sicong Zhou, Huawei Huang +1
Decentralized Autonomous Organization (DAO) is believed to play a significant role in our future society governed in a decentralized way. In this article, we first explain the defi…
Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview
Jiajing Wu, Jieli Liu, Yijing Zhao +1
As one of the most important and famous applications of blockchain technology, cryptocurrency has attracted extensive attention recently. Empowered by blockchain technology, all th…
Ensemble Knowledge Distillation for CTR Prediction
Jieming Zhu, Jinyang Liu, Weiqi Li +4
Recently, deep learning-based models have been widely studied for click-through rate (CTR) prediction and lead to improved prediction accuracy in many industrial applications. Howe…
Adversarial Attack on Large Scale Graph
Jintang Li, Tao Xie, Liang Chen +3
Recent studies have shown that graph neural networks (GNNs) are vulnerable against perturbations due to lack of robustness and can therefore be easily fooled. Currently, most works…
A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools
Huawei Huang, Wei Kong, Sicong Zhou +2
To draw a roadmap of current research activities of the blockchain community, we first conduct a brief overview of state-of-the-art blockchain surveys published in the recent 5 yea…
Outlier-Resilient Web Service QoS Prediction
Fanghua Ye, Zhiwei Lin, Chuan Chen +2
The proliferation of Web services makes it difficult for users to select the most appropriate one among numerous functionally identical or similar service candidates. Quality-of-Se…
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li, Chuan Chen, Nan Liu +3
Federated learning has been widely studied and applied to various scenarios. In mobile computing scenarios, federated learning protects users from exposing their private data, whil…
AxeChain: A Secure and Decentralized blockchain for solving Easily-Verifiable problems
Weilin Zheng, Xu Chen, Zibin Zheng +2
While Proof-of-Work (PoW) is the most widely used consensus mechanism for blockchain, it received harsh criticism due to its massive waste of energy for meaningless hash calculatio…
Modelling High-Order Social Relations for Item Recommendation
Yang Liu, Liang Chen, Xiangnan He +3
The prevalence of online social network makes it compulsory to study how social relations affect user choice. However, most existing methods leverage only first-order social relati…
XBlock-EOS: Extracting and Exploring Blockchain Data From EOSIO
Weilin Zheng, Zibin Zheng, Hong-Ning Dai +2
Blockchain-based cryptocurrencies and applications have flourished in blockchain research community. Massive data generated from diverse blockchain systems bring not only huge busi…
An Uncoupled Training Architecture for Large Graph Learning
Dalong Yang, Chuan Chen, Youhao Zheng +2
Graph Convolutional Network (GCN) has been widely used in graph learning tasks. However, GCN-based models (GCNs) is an inherently coupled training framework repetitively conducting…
A Survey of Adversarial Learning on Graphs
Liang Chen, Jintang Li, Jiaying Peng +6
Deep learning models on graphs have achieved remarkable performance in various graph analysis tasks, e.g., node classification, link prediction, and graph clustering. However, they…
Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases
Huawei Huang, Kangying Lin, Song Guo +2
Although the challenge of the device connection is much relieved in 5G networks, the training latency is still an obstacle preventing Federated Learning (FL) from being largely ado…
Detecting Mixing Services via Mining Bitcoin Transaction Network with Hybrid Motifs
Jiajing Wu, Jieli Liu, Weili Chen +3
As the first decentralized peer-to-peer (P2P) cryptocurrency system allowing people to trade with pseudonymous addresses, Bitcoin has become increasingly popular in recent years. H…