activity
20142023
most citedAI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges

11 citations · 22 across the 13 of their papers we have counts for

collaborators

16 papers

physics.plasm-ph2024

Adapted Swin Transformer-based Real-Time Plasma Shape Detection and Control in HL-3

Qianyun Dong, Zhengwei Chen, Rongpeng Li +6

In the field of magnetic confinement plasma control, the accurate feedback of plasma position and shape primarily relies on calculations derived from magnetic measurements through…

eess.SY2024

Topology Data Analysis-based Error Detection for Semantic Image Transmission with Incremental Knowledge-based HARQ

Fei Ni, Rongpeng Li, Zhifeng Zhao +1

Semantic communication (SemCom) aims to achieve high fidelity information delivery under low communication consumption by only guaranteeing semantic accuracy. Nevertheless, semanti…

cs.CL2024

Interplay of Semantic Communication and Knowledge Learning

Fei Ni, Bingyan Wang, Rongpeng Li +2

In the swiftly advancing realm of communication technologies, Semantic Communication (SemCom), which emphasizes knowledge understanding and processing, has emerged as a hot topic.…

cs.AI20231 cited

Imitation Learning based Alternative Multi-Agent Proximal Policy Optimization for Well-Formed Swarm-Oriented Pursuit Avoidance

Sizhao Li, Yuming Xiang, Rongpeng Li +2

Multi-Robot System (MRS) has garnered widespread research interest and fostered tremendous interesting applications, especially in cooperative control fields. Yet little light has…

cs.IT2023

Alternate Learning based Sparse Semantic Communications for Visual Transmission

Siyu Tong, Xiaoxue Yu, Rongpeng Li +3

Semantic communication (SemCom) demonstrates strong superiority over conventional bit-level accurate transmission, by only attempting to recover the essential semantic information…

cs.MA2023

Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles

Xiaoxue Yu, Rongpeng Li, Fei Wang +4

Multi-Agent Reinforcement Learning (MARL) has become a classic paradigm to solve diverse, intelligent control tasks like autonomous driving in Internet of Vehicles (IoV). However,…