Weihong Tian

dblp:383/4041 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0000-7403-2679ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 87% Rendering · 13%
Network and information security
1 paper
Blockchain and cryptocurrency security · 100%
Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 77% Database system architecture and tuning · 23%
Computer networks
1 paper
Edge and fog computing · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › virtual reality
mobile virtual reality
0.912025
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR · IEEE Trans. Parallel Distributed Syst. 2025
Virtual and augmented reality › multi-user interaction
multi-user collaboration
0.912025
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR · IEEE Trans. Parallel Distributed Syst. 2025
Edge and fog computing
edge-cloud collaboration
0.912025
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR · IEEE Trans. Parallel Distributed Syst. 2025
Distributed and cloud data management
data sharing
0.812024
CoralDB: A Collaborative Database for Data Sharing Based on Permissioned Blockchain · IEEE Trans. Mob. Comput. 2024
Blockchain and cryptocurrency security
consensus protocol
0.812024
CoralDB: A Collaborative Database for Data Sharing Based on Permissioned Blockchain · IEEE Trans. Mob. Comput. 2024
Blockchain and cryptocurrency security
permissioned blockchain
0.812024
CoralDB: A Collaborative Database for Data Sharing Based on Permissioned Blockchain · IEEE Trans. Mob. Comput. 2024
Rendering
remote rendering
0.312025
MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR · IEEE Trans. Parallel Distributed Syst. 2025

Methods — techniques the papers use, named apart from their topics

edge-edge synchronization · 1.7edge-cloud offloading · 1.7permissioned blockchain · 1.5consensus mechanism · 1.5connection pooling · 1.5
YearPublicationVenuePosition
2025 MUCVR: Edge Computing-Enabled High-Quality Multi-User Collaboration for Interactive MVR
abstract
Mobile Virtual Reality (MVR), which aims to provide high-quality VR services to mobile devices of end users, has become the latest trend in virtual reality developments. The current MVR solution is to remotely render frame data from a cloud server, while the potential of edge computing in MVR is underexploited. In this paper, we propose a new approach named MUCVR to achieve high-quality interactive MVR collaboration for multiple users by exploiting edge computing. Firstly, we design “vertical” edge–cloud collaboration for VR task rendering, in which foreground interaction is offloaded to an edge server for rendering, while the background environment is rendered by the cloud server. Correspondingly, the VR device of a user is only responsible for decoding and displaying. Secondly, we propose the “horizontal” multi-user collaboration based on edge–edge cooperation, which synchronizes the data among edge servers. Finally, we implement the proposed MUCVR on an MVR device and the Unity VR application engine. The results show that MUCVR can effectively reduce the MVR service latency, improve the rendering performance, reduce the computing load on the VR device, and, ultimately, improve users' quality of experience.
Weimin Li 0002, Weihong Tian, Jie Gao 0002, Fan Wu 0014, Jianxun Liu 0001, Ju Ren 0001
IEEE Trans. Parallel Distributed Syst.3
2024 CoralDB: A Collaborative Database for Data Sharing Based on Permissioned Blockchain
abstract
Systems that integrate distributed databases and existing blockchain platforms have recently emerged, which conveniently leverage their respective strengths to build efficient, secure, and usable data sharing and collaboration environments for different organizations. However, the performance of such systems can be limited by the native blockchain platforms due to the high latency of transactions. In this paper, we present CoralDB, a bottom-up fully redesigned hybrid system of blockchain and database, aimed at enabling untrusted organizations to collaborate and share data efficiently and securely at the database level. The storage layer of CoralDB ensures data security and system throughput through key modules such as customized block structure, consensus mechanism, and transaction pool. On top of the storage layer, a database layer is introduced, which extends the blockchain of the storage layer by incorporating connection pools, collaborative tables, and query interfaces, to enhance the usability and efficiency of data collaboration and sharing. Extensive experimental results demonstrate that CoralDB provides security assurances at the level of blockchain and enables efficient decentralized data collaboration and sharing.
Weimin Li 0002, Weihong Tian, Zhengmao Yan, Jie Gao 0002, Fan Wu 0014, Jianxun Liu 0001, Wenxiong Chen, Ju Ren 0001
IEEE Trans. Mob. Comput.2