Demo Data from VLDB 2026 / reviewers in the wild / expert
Jialin Meng
dblp:285/2174
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2021
0000-0002-4622-833XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › cancer genomics
cancer subtyping |
0.5 | 1 | 2021 | MOVICS: an R package for multi-omics integration and visualization in cancer subtyping · Bioinform. 2021 |
Bioinformatics and computational biology › multi-omics data integration
integrative clustering |
0.5 | 1 | 2021 | MOVICS: an R package for multi-omics integration and visualization in cancer subtyping · Bioinform. 2021 |
Bioinformatics and computational biology
multi-omics data integration |
0.5 | 1 | 2021 | MOVICS: an R package for multi-omics integration and visualization in cancer subtyping · Bioinform. 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | MOVICS: an R package for multi-omics integration and visualization in cancer subtypingabstractSUMMARY: Stratification of cancer patients into distinct molecular subgroups based on multi-omics data is an important issue in the context of precision medicine. Here, we present MOVICS, an R package for multi-omics integration and visualization in cancer subtyping. MOVICS provides a unified interface for 10 state-of-the-art multi-omics integrative clustering algorithms, and incorporates the most commonly used downstream analyses in cancer subtyping researches, including characterization and comparison of identified subtypes from multiple perspectives, and verification of subtypes in external cohort using two model-free approaches for multiclass prediction. MOVICS also creates feature rich customizable visualizations with minimal effort. By analysing two published breast cancer cohort, we signifies that MOVICS can serve a wide range of users and assist cancer therapy by moving away from the 'one-size-fits-all' approach to patient care. AVAILABILITY AND IMPLEMENTATION: MOVICS package and online tutorial are freely available at https://github.com/xlucpu/MOVICS. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Xiaofan Lu, Jialin Meng, Liyun Jiang, Fangrong Yan |
Bioinform. | 2 |
| 2021 | Blockchain-Based Decentralized Authentication Modeling Scheme in Edge and IoT EnvironmentabstractAuthentication is the first entrance to kinds of information systems; however, traditional centered single-side authentication is weak and fragile, which has security risk of single-side failure or breakdown caused by outside attacks or internal cheating. In the edge and Internet-of-Things (IoT) environment, blockchain can apply edge devices to better serve the IoT and provide decentralized high security service solutions. In this article, we proposed a blockchain-based decentralized authentication modeling scheme (named BlockAuth) in edge and IoT environment to provide a more secure, reliable, and strong fault tolerance novel solution, in which each edge device is regarded as a node to form a blockchain network. We designed secure registration and authentication strategy, blockchain-based decentralized authentication protocol, and developed the blockchain consensus, smart contract, and implemented a whole blockchain-based authentication platform for the feasibility, security, and performance evaluation. The analysis and evaluation show that the proposed BlockAuth scheme provides a more secure, reliable, and strong fault tolerance decentralized novel authentication with high-level security driven configuration management. The proposed BlockAuth scheme is suitable for password-based, certificate-based, biotechnology-based, and token-based authentication for high-level security requirement system in edge and IoT environment. Zhaofeng Ma, Jialin Meng, Jihui Wang, Zhiguang Shan |
IEEE Internet Things J. | 2 |