Ping Zhang
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View article: Sensing the living airspace: city-wide bird flight patterns revealed by communication networks
Sensing the living airspace: city-wide bird flight patterns revealed by communication networks Open
Monitoring low-altitude bird movement is crucial for ecological research and aviation safety, yet a critical data gap exists due to the limitations of conventional radar and sparse sensor coverage in urban environments. Here, we demonstrat…
View article: Sensing the living airspace: city-wide bird flight patterns revealed by communication networks
Sensing the living airspace: city-wide bird flight patterns revealed by communication networks Open
Monitoring low-altitude bird movement is crucial for ecological research and aviation safety, yet a critical data gap exists due to the limitations of conventional radar and sparse sensor coverage in urban environments. Here, we demonstrat…
View article: A data- and expert-driven framework for establishing land cover–related essential variables for SDG monitoring and assessment
A data- and expert-driven framework for establishing land cover–related essential variables for SDG monitoring and assessment Open
View article: Towards Native AI in 6G Standardization: The Roadmap of Semantic Communication
Towards Native AI in 6G Standardization: The Roadmap of Semantic Communication Open
Semantic communication (SemCom) has emerged as a transformative paradigm for future 6G networks, offering task-oriented and meaning-aware transmission that fundamentally redefines traditional bit-centric design. Recognized by leading stand…
View article: Semantic Markov Chain Using Synonymous Mapping
Semantic Markov Chain Using Synonymous Mapping Open
View article: Explicit Semantic-Base-Empowered Communications for 6G Mobile Networks
Explicit Semantic-Base-Empowered Communications for 6G Mobile Networks Open
View article: Internet of Satellites (IoS) for Intelligent Satellite Cluster: Applications, Methods, and Challenges
Internet of Satellites (IoS) for Intelligent Satellite Cluster: Applications, Methods, and Challenges Open
The integration of emerging technologies such as artificial intelligence and cloud computing is accelerating the development of intelligent and autonomous satellite systems. However, limitations in onboard sensing, computing, storage, and …
View article: Adaptive Source-Channel Coding for Semantic Communications
Adaptive Source-Channel Coding for Semantic Communications Open
Semantic communications (SemComs) have emerged as a promising paradigm for joint data and task-oriented transmissions, combining the demands for both the bit-accurate delivery and end-to-end (E2E) distortion minimization. However, current …
View article: Fine-Tuning Pre-Trained Large Language Models for Price Prediction on Network Freight Platforms
Fine-Tuning Pre-Trained Large Language Models for Price Prediction on Network Freight Platforms Open
Various factors influence the formation and adjustment of network freight prices, including transportation costs, cargo characteristics, and policies and regulations. The interaction of these factors increases the difficulty of accurately …
View article: Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication
Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Open
Semantic communication with joint semantic-channel coding robustly transmits diverse data modalities but faces challenges in mitigating semantic information loss due to packet drops in packet-based systems. Under current protocols, packets…
View article: Benchmark Evaluation of Multi-Modal Large Language Models for Ophthalmic Diagnosis
Benchmark Evaluation of Multi-Modal Large Language Models for Ophthalmic Diagnosis Open
Multi-modal large language models (MLLMs) are increasingly demonstrating significant potential in medical applications, particularly in image-intensive fields such as ophthalmology. While state-of-the-art models like ChatGPT-4o and Qwen-VL…
View article: On the Rate-Distortion Theory for Task-Specific Semantic Communication
On the Rate-Distortion Theory for Task-Specific Semantic Communication Open
Semantic communication has attracted considerable interest due to its potential to support emerging human-centric services, such as holographic communications, extended reality (XR), and human-machine interactions. Different from tradition…
View article: Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art Open
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of wireless networks due to advantages, such as noise resistanc…
View article: Graph Diffusion-Based AeBS Deployment and Resource Allocation for RSMA-Enabled URLLC Low-Altitude Economy Networks
Graph Diffusion-Based AeBS Deployment and Resource Allocation for RSMA-Enabled URLLC Low-Altitude Economy Networks Open
As a key component of low-altitude economic networks, aerial base stations (AeBSs) provide flexible and reliable wireless coverage to support 6G ultra-reliable and low-latency communication (URLLC) services. However, limited spectrum resou…
View article: Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach
Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach Open
This letter proposes UniToCom, a unified token communication paradigm that treats tokens as the fundamental units for both processing and wireless transmission. Specifically, to enable efficient token representations, we propose a generati…
View article: Improving Convergence for Semi-Federated Learning: An Energy-Efficient Approach by Manipulating Over-the-Air Distortion
Improving Convergence for Semi-Federated Learning: An Energy-Efficient Approach by Manipulating Over-the-Air Distortion Open
In this paper, we propose a hybrid learning framework that combines federated and split learning, termed semi-federated learning (SemiFL), in which over-the-air computation is utilized for gradient aggregation. A key idea is to strategical…
View article: Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function
Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function Open
Semantic communication has recently gained significant attention in theoretical analysis due to its potential to improve communication efficiency by focusing on meaning rather than exact signal reconstruction. In this paper, we extend the …
View article: Key developments and hotspots in programmed cell death in liver cancer pain: a bibliometric study
Key developments and hotspots in programmed cell death in liver cancer pain: a bibliometric study Open
View article: A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams
A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Open
The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can result in estimation errors that impact collaborative efforts…
View article: ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications
ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications Open
Diffusion models (DMs) have recently achieved significant success in wireless communications systems due to their denoising capabilities. The broadcast nature of wireless signals makes them susceptible not only to Gaussian noise, but also …
View article: SANNet: A Semantic-Aware Agentic AI Networking Framework for Multi-Agent Cross-Layer Coordination
SANNet: A Semantic-Aware Agentic AI Networking Framework for Multi-Agent Cross-Layer Coordination Open
Agentic AI networking (AgentNet) is a novel AI-native networking paradigm that relies on a large number of specialized AI agents to collaborate and coordinate for autonomous decision-making, dynamic environmental adaptation, and complex go…
View article: Neural Coding Is Not Always Semantic: Towards the Standardized Coding Workflow in Semantic Communications
Neural Coding Is Not Always Semantic: Towards the Standardized Coding Workflow in Semantic Communications Open
Semantic communication, leveraging advanced deep learning techniques, emerges as a new paradigm that meets the requirements of next-generation wireless networks. However, current semantic communication systems, which employ neural coding f…
View article: Modeling and Performance Analysis of IoT-Over-LEO Satellite Systems Under Realistic Operational Constraints: A Stochastic Geometry Approach
Modeling and Performance Analysis of IoT-Over-LEO Satellite Systems Under Realistic Operational Constraints: A Stochastic Geometry Approach Open
The growing demand for reliable and extensive connectivity has made low Earth orbit (LEO) satellites aided Internet of Things (IoT) systems a critical area of research. However, current theoretical studies on IoT-over-LEO satellite systems…
View article: Image Steganography For Securing Intellicise Wireless Networks: "Invisible Encryption" Against Eavesdroppers
Image Steganography For Securing Intellicise Wireless Networks: "Invisible Encryption" Against Eavesdroppers Open
As one of the most promising technologies for intellicise (intelligent and consice) wireless networks, Semantic Communication (SemCom) significantly improves communication efficiency by extracting, transmitting, and recovering semantic inf…
View article: Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling Open
Personalized federated learning (PFL) offers a solution to balancing personalization and generalization by conducting federated learning (FL) to guide personalized learning (PL). Little attention has been given to wireless PFL (WPFL), wher…
View article: Generative AI for Physical-Layer Authentication
Generative AI for Physical-Layer Authentication Open
In recent years, Artificial Intelligence (AI)-driven Physical-Layer Authentication (PLA), which focuses on achieving endogenous security and intelligent identity authentication, has attracted considerable interest. When compared with Discr…
View article: Semantic Arithmetic Coding Using Synonymous Mappings
Semantic Arithmetic Coding Using Synonymous Mappings Open
Recent semantic communication methods explore effective ways to expand the communication paradigm and improve the performance of communication systems. Nonetheless, a common problem with these methods is that the essence of semantics is no…
View article: Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm Open
Domain adaptation (DA) tackles the issue of distribution shift by learning a model from a source domain that generalizes to a target domain. However, most existing DA methods are designed for scenarios where the source and target domain da…
View article: NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission
NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission Open
We introduce NeRFCom, a novel communication system designed for end-to-end 3D scene transmission. Compared to traditional systems relying on handcrafted NeRF semantic feature decomposition for compression and well-adaptive channel coding f…
View article: Semantic Communication on Digital Wireless Communication Systems
Semantic Communication on Digital Wireless Communication Systems Open
Semantic communication is an effective technological approach for the integration of intelligence and communication, enabling more efficient and context-aware data transmission. In this paper, we propose a bit-conversion-based semantic com…