A5002534955- Privacy-Preserving Technologies in Data
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Metaheuristic Optimization Algorithms Research
- Image and Video Quality Assessment
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Software-Defined Networks and 5G
- Peer-to-Peer Network Technologies
- Blockchain Technology Applications and Security
- Stochastic Gradient Optimization Techniques
- Cooperative Communication and Network Coding
- Video Coding and Compression Technologies
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Cloud Computing and Resource Management
- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Mobile Crowdsensing and Crowdsourcing
- Network Security and Intrusion Detection
- Bioinformatics and Genomic Networks
- Topic Modeling
- IoT Networks and Protocols
- Network Traffic and Congestion Control
- Visual Attention and Saliency Detection
Shenzhen University
2016-2025
Peng Cheng Laboratory
2020-2024
Central South University
2023
Beijing University of Posts and Telecommunications
2023
Beijing Institute of Technology
2023
Chinese University of Hong Kong, Shenzhen
2023
Shanghai Jiao Tong University
2023
Tsinghua University
2009-2012
University Town of Shenzhen
2010
Both big data and software-defined networking (SDN) have attracted great interests from both academia industry. These two important areas traditionally been addressed separately in the most of previous works. However, on one hand, good features SDN can greatly facilitate acquisition, transmission, storage, processing. On other will profound impacts design operation SDN. In this paper, we present solving several issues prevailing with applications, including processing cloud centers,...
With wide adoption of Internet Things (IoT) across the world, IoT devices are facing more and intensive computation task nowadays. However, usually limited by their computing capability battery lifetime. Mobile edge provides new opportunities for developments IoT, since servers which close to can provide powerful resources. The offload tasks servers, while saving own resources reducing energy consumption. benefits come at cost higher latency, mainly due additional transmission time, it may...
Edge computing architectures can help us quickly process the data collected by Internet of Things (IoT) and caching files to edge nodes speed up response IoT devices requesting files. Blockchain ensure security transmitted IoT. Therefore, we have proposed a system that combines devices, nodes, remote cloud, blockchain. In system, designed new algorithm in which blockchain-assisted compressed federated learning is applied for content caching, called CREAT predict cached algorithm, each node...
Industrial Internet of Things (IIoT) has been widely used in many fields. Meanwhile, blockchain is considered promising to address the issues IIoT. However, current blockchains have a limited throughput. In this article, we devise an efficient and secure protocol compacted directed acyclic graph (CoDAG) based on graph, where blocks are organized levels width. New-generated CoDAG will be placed appropriately point those previous level, making it well-connected channel. Transactions network...
Convolutional neural network (CNN) and Transformer have achieved great success in multimedia applications. However, little effort has been made to effectively efficiently harmonize these two architectures satisfy image deraining. This paper aims unify take advantage of their learning merits for In particular, the local connectivity translation equivariance CNN global aggregation ability self-attention (SA) are fully exploited specific context structure representations. Based on observation...
Recent advances in traffic engineering offer a series of techniques to address the network problems due explosive growth Internet traffic. In engineering, dynamic path planning is essential for prevalent applications, e.g., load balancing, monitoring and firewall. Application-specific methods can indeed improve performance but hardly be extended general scenarios. Meanwhile, massive data generated current has not been fully exploited, which may convey much valuable knowledge information...
With the development of Internet Things (IoT), edge computing becomes more and prevalent currently. However, needs to deploy a large number servers reduce communication latency, which will bring additional costs system. Although there exist some idle resources at edge, owners distrust each other lack incentives contribute In this article, we propose new platform decentralized trusted for (DeTEC), provides unified interface users, resolves user's requests most appropriate server through...
Edge computing is promising to solve the latency issue in Internet of Vehicles (IoV). However, due decentralization, traditional edge suffers management, deployment, and security. Containerization relaxes resource deployment migration problems, but current container scheduling policies are inefficient process complicated tasks based on directed acyclic graph or DAG structures. In this article, we design a containerized platform CUTE, which provides low-latency computation services for...
Recently, federated learning (FL) has received tremendous attention in both academia and industry, which decentralized clients collaboratively complete model training by exchanging updates with a parameter server through the Internet. Its distributed nature well utilizes localized data preserves clients' privacy, but also incurs heavy communication overhead. Existing studies on update have mostly focused bandwidth constraint of channels. Today's Internet however is highly unreliable. Simply...