58 citations · 184 across the 35 of their papers we have counts for
35 papers
Modeling Sequential Recommendation as Missing Information Imputation
Yujie Lin, Zhumin Chen, Zhaochun Ren +5
Side information is being used extensively to improve the effectiveness of sequential recommendation models. It is said to help capture the transition patterns among items. Most pr…
FileDAG: A Multi-Version Decentralized Storage Network Built on DAG-based Blockchain
Hechuan Guo, Minghui Xu, Jiahao Zhang +4
Decentralized Storage Networks (DSNs) can gather storage resources from mutually untrusted providers and form worldwide decentralized file systems. Compared to traditional storage…
Cross-Channel: Scalable Off-Chain Channels Supporting Fair and Atomic Cross-Chain Operations
Yihao Guo, Minghui Xu, Dongxiao Yu +3
Cross-chain technology facilitates the interoperability among isolated blockchains on which users can freely communicate and transfer values. Existing cross-chain protocols suffer…
AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary
Pengfei Hu, Hui Zhuang, Panneer Selvam Santhalingamy +4
With the increasing popularity of voice-based applications, acoustic eavesdropping has become a serious threat to users' privacy. While on smartphones the access to microphones nee…
Federated Learning Hyper-Parameter Tuning from a System Perspective
Huanle Zhang, Lei Fu, Mi Zhang +4
Federated learning (FL) is a distributed model training paradigm that preserves clients' data privacy. It has gained tremendous attention from both academia and industry. FL hyper-…
Proof of User Similarity: the Spatial Measurer of Blockchain
Shengling Wang, Lina Shi, Hongwei Shi +3
Although proof of work (PoW) consensus dominates the current blockchain-based systems mostly, it has always been criticized for the uneconomic brute-force calculation. As alternati…
A Trustless Architecture of Blockchain-enabled Metaverse
Minghui Xu, Yihao Guo, Qin Hu +3
Metaverse has rekindled human beings' desire to further break space-time barriers by fusing the virtual and real worlds. However, security and privacy threats hinder us from buildi…
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization
Honglu Jiang, Haotian Yu, Xiuzhen Cheng +3
A large amount of high-dimensional and heterogeneous data appear in practical applications, which are often published to third parties for data analysis, recommendations, targeted…
zk-PCN: A Privacy-Preserving Payment Channel Network Using zk-SNARKs
Wenxuan Yu, Minghui Xu, Dongxiao Yu +3
Payment channel network (PCN) is a layer-two scaling solution that enables fast off-chain transactions but does not involve on-chain transaction settlement. PCNs raise new privacy…
Online Learning for Failure-aware Edge Backup of Service Function Chains with the Minimum Latency
Chen Wang, Qin Hu, Dongxiao Yu +1
Virtual network functions (VNFs) have been widely deployed in mobile edge computing (MEC) to flexibly and efficiently serve end users running resource-intensive applications, which…
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning
Minghui Xu, Zongrui Zou, Ye Cheng +3
Decentralized learning involves training machine learning models over remote mobile devices, edge servers, or cloud servers while keeping data localized. Even though many studies h…
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing
Qin Hu, Zhilin Wang, Minghui Xu +1
Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the requestor accomplish various sensing tasks with more flexibility and lower cost. However, for the co…
Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning
Qin Hu, Shengling Wang, Zeihui Xiong +1
The explosive amount of data generated at the network edge makes mobile edge computing an essential technology to support real-time applications, calling for powerful data processi…
When Blockchain Meets Smart Grids: A Comprehensive Survey
Yihao Guo, Zhiguo Wan, Xiuzhen Cheng
Recent years have witnessed an increasing interest in the blockchain technology, and many blockchain-based applications have been developed to take advantage of its decentralizatio…
Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen, Dongxiao Yu, Yifei Zou +2
This paper studies decentralized federated learning algorithms in wireless IoT networks. The traditional parameter server architecture for federated learning faces some problems su…
Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification
Fangtian Zhong, Zekai Chen, Minghui Xu +3
Malware is a piece of software that was written with the intent of doing harm to data, devices, or people. Since a number of new malware variants can be generated by reusing codes,…
Harnessing Context for Budget-Limited Crowdsensing with Massive Uncertain Workers
Feng Li, Jichao Zhao, Dongxiao Yu +2
Crowdsensing is an emerging paradigm of ubiquitous sensing, through which a crowd of workers are recruited to perform sensing tasks collaboratively. Although it has stimulated many…
CloudChain: A Cloud Blockchain Using Shared Memory Consensus and RDMA
Minghui Xu, Shuo Liu, Dongxiao Yu +3
Blockchain technologies can enable secure computing environments among mistrusting parties. Permissioned blockchains are particularly enlightened by companies, enterprises, and gov…
Extending On-chain Trust to Off-chain -- Trustworthy Blockchain Data Collection using Trusted Execution Environment (TEE)
Chunchi Liu, Hechuan Guo, Minghui Xu +4
Blockchain creates a secure environment on top of strict cryptographic assumptions and rigorous security proofs. It permits on-chain interactions to achieve trustworthy properties…
Micro Analysis of Natural Forking in Blockchain Based on Large Deviation Theory
Hongwei Shi, Shengling Wang, Qin Hu +1
Natural forking in blockchain refers to a phenomenon that there are a set of blocks at one block height at the same time, implying that various nodes have different perspectives of…
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Zekai Chen, Fangtian Zhong, Zhumin Chen +3
User response prediction, which aims to predict the probability that a user will provide a predefined positive response in a given context such as clicking on an ad or purchasing a…
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen, Dingshuo Chen, Xiao Zhang +2
Many real-world IoT systems, which include a variety of internet-connected sensory devices, produce substantial amounts of multivariate time series data. Meanwhile, vital IoT infra…
BLOWN: A Blockchain Protocol for Single-Hop Wireless Networks under Adversarial SINR
Minghui Xu, Feng Zhao, Yifei Zou +3
Known as a distributed ledger technology (DLT), blockchain has attracted much attention due to its properties such as decentralization, security, immutability and transparency, and…
wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks
Minghui Xu, Chunchi Liu, Yifei Zou +3
This paper presents , a blockchain protocol specifically designed for multihop wireless networks that deeply integrates wireless communication properties and block…