Ye Li

A topic-based reviewer assignment system

2015 · Proceedings of the VLDB Endowment

Peer reviewing is a widely accepted mechanism for assessing the quality of submitted articles to scientific conferences or journals. Conference management systems (CMS) are used by conference organizers to invite appropriate reviewers and assign them …

Securely Outsourcing ID3 Decision Tree in Cloud Computing

2018 · Wireless Communications and Mobile Computing

With the wide application of Internet of Things (IoT), a huge number of data are collected from IoT networks and are required to be processed, such as data mining. Although it is popular to outsource …

An efficient outsourced attribute-based encryption scheme in the device-to-device mobile network

2019 · International Journal of Distributed Sensor Networks

Device-to-device communication is considered as one of the hopeful technologies for proximal communication, which plays a vital role in the wireless systems and 5G cellular networks. The outsourced attribute-based encryption scheme is convinced to be …

Mine Pressure Prediction Study Based on Fuzzy Cognitive Maps

2020 · International Journal of Computational Intelligence and Applications

The study on the prediction of mine pressure, while exploiting in coal mine, is a critical and technical guarantee for coal mine safety and production. In this paper, primarily due to the actual demand for …

Prediction of Disease Progress Using Medical Visit Records with Irregular Time Intervals

2022 · 2022 5th International Conference on Data Science and Information Technology (DSIT)

Time irregularity is common in medical visit record data. For disease progress prediction, irregular time intervals occur in two places. One is in the input historical data for prediction (denoted as input intervals), the other …

Lexical Tone as a Cue in Statistical Word Learning from Bilingual Input

2023

Learners can track word-referent co-occurrences across individually-ambiguous naming events to form correct word-referent mappings, termed statistical word learning (SWL). Prior research largely focuses on learning from a single language input, where a referent co-occurs with …

Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning

2024 · arXiv (Cornell University)

Federated Learning (FL), a privacy-preserving decentralized machine learning framework, has been shown to be vulnerable to backdoor attacks. Current research primarily focuses on the Single-Label Backdoor Attack (SBA), wherein adversaries share a consistent target. However, …