- Wireless Signal Modulation Classification
- UAV Applications and Optimization
- Blockchain Technology Applications and Security
- Privacy-Preserving Technologies in Data
- Caching and Content Delivery
- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- Wireless Communication Security Techniques
- Medical Image Segmentation Techniques
- IoT and Edge/Fog Computing
- Digital Media Forensic Detection
- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Space exploration and regulation
- Stochastic processes and financial applications
- Wireless Body Area Networks
- Drilling and Well Engineering
- Telecommunications and Broadcasting Technologies
- Opportunistic and Delay-Tolerant Networks
- Speech and Audio Processing
- Error Correcting Code Techniques
- Advanced Wireless Communication Technologies
- Satellite Communication Systems
- Speech Recognition and Synthesis
- Risk and Portfolio Optimization
University of Glasgow
2021-2025
Shaanxi University of Science and Technology
2023
Shanghai Jiao Tong University
2015
Virtual reality (VR) over wireless is expected to be one of the killer applications in next-generation communication networks. Nevertheless, huge data volume along with stringent requirements on latency and reliability under limited bandwidth resources makes untethered VR delivery increasingly challenging. Such bottlenecks, therefore, motivate this work seek potential using semantic communication, a new paradigm that promises significantly ease resource pressure, for efficient delivery. To...
In a space-air-ground integrated network (SAGIN), managing resources for the growing number of highly-dynamic and heterogeneous radios is challenging task. Symbiotic communication (SC) novel paradigm, which leverages analogy natural ecosystem in biology to create radio wireless networks that achieves cooperative service exchange resource sharing, is, service/resource trading, among numerous radios. As result, potential symbiotic can be exploited enhance management SAGIN. Despite fact...
Cache-enabled device-to-device (D2D) communication is a potential approach to tackle the resource shortage problem. However, public concerns of data privacy and system security still remain, which thus arises an urgent need for reliable caching scheme. Fortunately, federated learning (FL) with distributed paradigm provides effective way issue by training high-quality global model without any raw exchanges. Besides issue, blockchain can be further introduced into FL framework resist malicious...
Unmanned Aerial Vehicles (UAVs) have significant potential for agile communication and relief coordination in post-disaster scenarios, particularly when ground infrastructure is compromised. However, efficiently coordinating securing flocks of heterogeneous UAVs from different service providers poses challenges related to privacy, scalability, lightweight consensus protocols, comprehensive cybersecurity mechanisms. This study introduces a robust blockchain-enabled framework designed tackle...
Due to the transaction cost and other market friction, investor usually holds only small number of stocks construct portfolio. This common phenomena motives us study cardinality constrained portfolio optimization model. Instead using traditional mean-variance criteria, we use Conditional Value-at-Risk(CVaR) as risk measure build problem is a NP hard problem, which can be reformulated an mixed-integer programming problem. To evaluate CVaR, it necessary generate large scenario, increases size...
Emergency communication is critical but challenging after natural disasters when ground infrastructure devastated. Unmanned aerial vehicles (UAVs) offer enormous potential for agile relief coordination in these scenarios. However, effectively leveraging UAV fleets poses additional challenges around security, privacy, and efficient collaboration across response agencies. This paper presents a robust blockchain-enabled framework to address by integrating consortium blockchain model, smart...
Semantic communication (SC) offers promising advancements in data transmission efficiency and reliability by focusing on delivering true meaning rather than solely binary bits of messages. However, privacy concerns SC might become outstanding. Eavesdroppers equipped with advanced semantic coding models extensive knowledge could be capable correctly decoding reasoning sensitive semantics from just a few stolen bits. To this end, article explores utilizing to enhance networks. Specifically, we...
Multimodal Magnetic Resonance Imaging (MRI) provides essential complementary information for analyzing brain tumor subregions. While methods using four common MRI modalities automatic segmentation have shown success, they often face challenges with missing due to image quality issues, inconsistent protocols, allergic reactions, or cost factors. Thus, developing a paradigm that handles is clinically valuable. A novel single-modality parallel processing network framework based on H\"older...
Video transmission over ultra-reliable and low-latency communication (URLLC) is a promising trend to support various multimedia services. However, in view of the rapid surge video content demand along with stringent resolution requirement, there an unprecedented burden on wireless networks limited yet precious bandwidth resources. In this paper, we propose VIdeo framework Semantic communicaTion Approach (VISTA), where semantics rather than all bits should be transmitted aim reducing...
With the continuous development of intelligent technology, recognition water meter readings has brought convenience to people's lives. By automatically reading data, work efficiency can be improved. However, due varying shapes and sizes areas, it is difficult achieve good results. Therefore, in response problem this paper proposes a method for digital area segmentation based on an improved U<sup>2</sup>-Net. Firstly, terms capturing data features, Double-RSU module RSU designed. This...
Cache-enabled device-to-device (D2D) communication has been widely deemed as a promising approach to tackle the unprecedented growth of wireless traffic demands. Recently, tremendous efforts have put into designing an efficient caching policy provide users better quality service. However, public concerns data privacy still remain in D2D cache sharing networks, which thus arises urgent need for privacy-preserved scheme. In this study, we propose double-layer blockchain-based federated...
Semantic communication is deemed to break Shannon channel capacity by transmitting extracted semantics rather than all binary bits. One critical challenge in semantic system how select a matching coding model (SCM) light of complicated source information, diversified user background knowledge (BK) and dynamic wireless channel. In this paper, we mathematically the relationship among different BKs using graph theory, introduce metric evaluate SCMs performance as per BK relationships. Then,...
To accommodate the growing number of heterogeneous radios with limited wireless resources, symbiotic communication (SC) inspired by biology has been recently proposed to establish a radio (SR) ecosystem. In this SR ecosystem, through collaboratively optimizing service/resource exchange policies, can coevolve like organisms, thus enabling various resources (such as spectrum, energy, and computing power) complement each other. However, one critical challenge is securing trusted coevolution...
Generative AI applications are recently catering to a vast user base by creating diverse and high-quality AI-generated content (AIGC). With the proliferation of mobile devices rapid growth traffic, providing ubiquitous access AIGC services via wireless communication networks is becoming future direction for products. However, it challenging provide optimal in with unstable channels, limited bandwidth resources, unevenly distributed computational resources. To tackle these challenges, we...
Symbiotic communication (SC), exploiting the analogy of biological ecosystem to establish device ecosystems, can enable cooperative service/resource exchanges across heterogeneous devices thus realizing complementarity among different resources. However, considering unstable wireless links, high network dynamics, and complex electromagnetic interference in such an ecosystem, it is difficult perform without securing a trusted environment. Moreover, multi-dimensional exchange demanded by...
Virtual reality (VR) over wireless is expected to be one of the killer applications in next-generation communication networks. Nevertheless, huge data volume along with stringent requirements on latency and reliability under limited bandwidth resources makes untethered VR delivery increasingly challenging. Such bottlenecks, therefore, motivate this work seek potential using semantic communication, a new paradigm that promises significantly ease resource pressure, for efficient delivery. To...
In a space-air-ground integrated network (SAGIN), managing resources for the growing number of highly-dynamic and heterogeneous radios is challenging task. Symbiotic communication (SC) novel paradigm, which leverages analogy natural ecosystem in biology to create radio wireless networks that achieves cooperative service exchange resource sharing, i.e., service/resource trading, among numerous radios. As result, potential symbiotic can be exploited enhance management SAGIN. Despite fact...