60 citations · 67 across the 29 of their papers we have counts for
32 papers
Sampling Safe Futures: Multimodal Trajectory Planning for Personalized Safety in Anthropomorphic AI
Benedetta Picano, Dusit Niyato
Anthropomorphic artificial intelligence systems increasingly remember personal details, display empathy, and are engaged with as social counterparts, creating forms of risk that em…
Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey
Xiaojing Chen, Haiqi Yu, Wei Ni +5
The rapid emergence of Large Language Models (LLMs) has catalyzed Agentic artificial intelligence (AI), autonomous systems integrating perception, reasoning, and action into closed…
Rotatable Antenna Enabled Multi-Cell Mixed Near-Field and Far-Field Communications
Yunpu Zhang, Changsheng You, Ruichen Zhang +4
Prior studies on mixed near-field and far-field communications have focused exclusively on single-cell scenarios, where both near-field and far-field users are served by the same b…
FedUTR: Federated Recommendation with Augmented Universal Textual Representation for Sparse Interaction Scenarios
Kang Fu, Honglei Zhang, Zikai Zhang +5
Federated recommendations (FRs) have emerged as an on-device privacy-preserving paradigm, attracting considerable attention driven by rising demands for data security. Existing FRs…
Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models
Zikang Ding, Haomiao Yang, Meng Hao +6
Backdoor attacks against pre-trained models (PTMs) have traditionally operated under an ``immediacy assumption,'' where malicious behavior manifests instantly upon trigger occurren…
Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions
Jer Shyuan Ng, Wathsara Daluwatta, Shehan Edirimannage +5
The proliferation of connected devices and privacy-sensitive applications has accelerated the adoption of Federated Learning (FL), a decentralized paradigm that enables collaborati…
AmbShield: Enhancing Physical Layer Security with Ambient Backscatter Devices against Eavesdroppers
Yifan Zhang, Yishan Yang, Riku Jäntti +3
Passive eavesdropping compromises confidentiality in wireless networks, especially in resource-constrained environments where heavyweight cryptography is impractical. Physical laye…
ShardMemo: Scope-Before-Routing for Agentic Memory Retrieval
Yang Zhao, Chengxiao Dai, Mengying Kou +2
Agentic systems accumulate persistent memory across sessions, tools, and tasks, and a later request must retrieve from it under two distinct constraints: which memories it is permi…
Chirp Delay-Doppler Domain Modulation Based Joint Communication and Radar for Autonomous Vehicles
Zhuoran Li, Zhen Gao, Sheng Chen +3
This paper introduces a sensing-centric joint communication and millimeter-wave radar paradigm to facilitate collaboration among intelligent vehicles. We first propose a chirp wave…
Efficient Resource Allocation for Multi-User and Multi-Target MIMO-OFDM Underwater ISAC
Wei Men, Longfei Zhao, Yong Liang Guan +3
Integrated sensing and communication (ISAC) technology is crucial for next-generation underwater networks. However, covering multiple users and targets and balancing sensing and co…
Pseudo-Random TDM-MIMO FMCW Based Millimeter-Wave Sensing and Communication Integration for UAV Swarm
Yi Tao, Zhen Gao, Zhuoran Li +7
The integrated sensing and communications (ISAC) can achieve the sharing of hardware and spectrum resources, enabling efficient data transmission and environmental sensing. This fu…
From Literature to Insights: Methodological Guidelines for Survey Writing in Communications Research
Dusit Niyato, Octavia A. Dobre, Trung Q. Duong +2
The rapid growth of communications and networking research has created an unprecedented demand for high-quality survey and tutorial papers that can synthesize vast bodies of litera…
Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems
Huy T. Nguyen, Van-Dinh Nguyen, Nhan Thanh Nguyen +5
This paper explores the energy efficiency (EE) of integrated sensing and communication (ISAC) systems employing massive multiple-input multiple-output (mMIMO) techniques to leverag…
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
Yang Zhao, Chengxiao Dai, Wei Zhuo +2
Knowledge graphs provide structured context for multi-hop question answering, but deployed systems must balance answer accuracy with strict latency and cost targets while preservin…
Robust Optimization for Movable Antenna-aided Cell-Free ISAC with Time Synchronization Errors
Yue Xiu, Yang Zhao, Ran Yang +5
The cell-free integrated sensing and communication (CF-ISAC) system, which effectively mitigates intra-cell interference and provides precise sensing accuracy, is a promising techn…
Joint Beamforming Design for RIS-Empowered NOMA-ISAC Systems
Chunjie Wang, Xuhui Zhang, Jinke Ren +6
This paper investigates a reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system and proposes a joint communication and sensing beamfo…
Generative AI-Empowered Secure Communications in Space-Air-Ground Integrated Networks: A Survey and Tutorial
Chenbo Hu, Ruichen Zhang, Bo Li +6
Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topol…
Diffusion Models for Future Networks and Communications: A Comprehensive Survey
Nguyen Cong Luong, Nguyen Duc Hai, Duc Van Le +9
The rise of Generative AI (GenAI) in recent years has catalyzed transformative advances in wireless communications and networks. Among the members of the GenAI family, Diffusion Mo…
From Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs
Chengxiao Dai, Yue Xiu, Dusit Niyato
Text-to-SPARQL maps natural-language questions to executable SPARQL queries over RDF knowledge graphs. While standard evaluations often fix the target graph in advance, practical k…
Latent Diffusion Model Based Denoising Receiver for 6G Semantic Communication: From Stochastic Differential Theory to Application
Xiucheng Wang, Honggang Jia, Nan Cheng
In this paper, a novel semantic communication framework empowered by generative artificial intelligence (GAI) is proposed, to enhance the robustness against both channel noise and…
Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
Jer Shyuan Ng, Aditya Pribadi Kalapaaking, Xiaoyu Xia +3
In recent years, Federated Learning (FL) has emerged as a widely adopted privacy-preserving distributed training approach, attracting significant interest from both academia and in…
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy
Yang Zhao, Chengxiao Dai, Dusit Niyato +7
Large language models (LLMs) hold promise for sustainable manufacturing, but often hallucinate industrial codes and emission factors, undermining regulatory and investment decision…
Distributionally Robust Wireless Semantic Communication with Large AI Models
Long Tan Le, Senura Hansaja Wanasekara, Zerun Niu +7
Semantic communication (SemCom) has emerged as a promising paradigm for 6G wireless systems by transmitting task-relevant information rather than raw bits, yet existing approaches…
Movable Antenna Enhanced Federated Fine-Tuning of Large Language Models via Hybrid Client Selection Optimization
Yang Zhao, Yue Xiu, Chengxiao Dai +2
Federated fine-tuning of large language models (LLMs) over bandwidth-limited 6G links must meet strict round-time and energy budgets. Analog over-the-air (OTA) aggregation reduces…