Publications (23)
Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality
Jiadong Yu, Ahmad Alhilal, Tailin Zhou +2
Metaverse applications such as virtual reality (VR) content streaming, require optimal resource allocation strategies for mobile edge computing (MEC) to ensure a high-quality user…
Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
Chen Shang, Jiadong Yu, Dinh Thai Hoang
The integration of immersive communication into a human-centric ecosystem has intensified the demand for sophisticated Human Digital Twins (HDTs) driven by multifaceted human data.…
Network Topology and Information Efficiency of Multi-Agent Systems: Study based on MARL
Xinren Zhang, Sixi Cheng, Zixin Zhong +1
Multi-agent systems (MAS) solve complex problems through coordinated autonomous entities with individual decision-making capabilities. While Multi-Agent Reinforcement Learning (MAR…
6G Mobile-Edge Empowered Metaverse: Requirements, Technologies, Challenges and Research Directions
Jiadong Yu, Ahmad Alhilal, Pan Hui +1
The Metaverse has emerged as the successor of the conventional mobile internet to change people's lifestyles. It has strict visual and physical requirements to ensure an immersive…
Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication
Chen Shang, Dinh Thai Hoang, Diep N. Nguyen +1
This work proposes a novel immersive communication framework that leverages brain-computer interface (BCI) to acquire brain signals for inferring user-centric states (e.g., intenti…
Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL
Chen Shang, Jiadong Yu, Dinh Thai Hoang
Integrated sensing and communication (ISAC) is emerging as a key enabler for vehicle-to-everything (V2X) systems. However, designing efficient beamforming schemes for ISAC signals…
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction
Ziru Zhang, Jiadong Yu, Danny H. K. Tsang
The optimization of quality of experience (QoE) in multi-user virtual reality (VR) interactions demands a delicate balance between ultra-low latency, high-fidelity motion synchroni…
IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning
Jiadong Yu, Yang Li, Xiaolan Liu +3
By employing powerful edge servers for data processing, mobile edge computing (MEC) has been recognized as a promising technology to support emerging computation-intensive applicat…
Amortized Reasoning Tree Search: Decoupling Proposal and Decision in Large Language Models
Zesheng Hong, Jiadong Yu, Hui Pan
Reinforcement Learning with Verifiable Rewards (RLVR) has established itself as the dominant paradigm for instilling rigorous reasoning capabilities in Large Language Models. While…
Distributed Intelligence in Wireless Networks
Xiaolan Liu, Jiadong Yu, Yuanwei Liu +4
The cloud-based solutions are becoming inefficient due to considerably large time delays, high power consumption, security and privacy concerns caused by billions of connected wire…
Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL
Xinren Zhang, Zixin Zhong, Jiadong Yu
Multi-Agent Systems (MAS) have emerged as a fundamental paradigm for distributed problem-solving, where autonomous agents collaborate to achieve complex objectives. Within this fra…
Integrated Gallium Nitride Nonlinear Photonics
Yanzhen Zheng, Changzheng Sun, Bing Xiong +7
Gallium nitride (GaN) as a wide-band gap material has been widely used in solid-state lighting. Thanks to its high nonlinearity and high refractive index contrast, GaN-on-insulator…
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
Xinren Zhang, Jiadong Yu, Zixin Zhong
Multi-Agent Systems (MAS) have emerged as a powerful paradigm for modeling complex interactions among autonomous entities in distributed environments. In Multi-Agent Reinforcement…
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
Tailin Zhou, Jiadong Yu, Jun Zhang +1
This paper investigates resource allocation to provide heterogeneous users with customized virtual reality (VR) services in a mobile edge computing (MEC) system. We first introduce…
Multi-Modal Beamforming with Model Compression and Modality Generation for V2X Networks
Chen Shang, Dinh Thai Hoang, Jiadong Yu
Integrating sensing and communication (ISAC) is a promising technology for predictive beamforming in 6G vehicle-to-everything (V2X) networks. However, current ISAC paradigms rely s…
Improve the Training Efficiency of DRL for Wireless Communication Resource Allocation: The Role of Generative Diffusion Models
Xinren Zhang, Jiadong Yu
Dynamic resource allocation in mobile wireless networks involves complex, time-varying optimization problems, motivating the adoption of deep reinforcement learning (DRL). However,…
Soliton dynamics in microresonators with XPM induced negative thermo-optic effect
Yanzhen Zheng, Changzheng Sun, Bing Xiong +10
Optical frequency comb generation in microresonators has attracted significant attention over the past decade, as it offers the promising potential for chip-scale optical frequency…
Bi-directional Digital Twin and Edge Computing in the Metaverse
Jiadong Yu, Ahmad Alhilal, Pan Hui +1
The Metaverse has emerged to extend our lifestyle beyond physical limitations. As essential components in the Metaverse, digital twins (DTs) are the real-time digital replicas of p…
Low half-wave-voltage, ultra-high bandwidth thin-film LiNbO3 modulator based on hybrid waveguide and periodic capacitively loaded electrodes
Xuecheng Liu, Bing Xiong, Changzheng Sun +7
A novel thin-film LiNbO3 (TFLN) electro-optic modulator is proposed and demonstrated. LiNbO3-silica hybrid waveguide is adopted to maintain low optical loss for an electrode spacin…
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing
Xiaolan Liu, Jiadong Yu, Yue Gao
To support popular Internet of Things (IoT) applications such as virtual reality, mobile games and wearable devices, edge computing provides a front-end distributed computing arche…
Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks
Chen Shang, Jiadong Yu, Dinh Thai Hoang
This work proposes an energy-efficient, learning-based beamforming scheme for integrated sensing and communication (ISAC)-enabled V2X networks. Specifically, we first model the dyn…
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
Jiahao Qiu, Fulian Xiao, Yimin Wang +96
Recent advances in large language models (LLMs) have led to remarkable progress across domains, yet their capabilities in the humanities, particularly history, remain underexplored…
Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-cell Mobile Edge Computing
Wenhan Xu, Jiadong Yu, Yuan Wu +1
The explosive development of the Internet of Things (IoT) has led to increased interest in mobile edge computing (MEC), which provides computational resources at network edges to a…