Boran Wang

Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks

Boran Wang, Ziye Jia, Can Cui, Qihui Wu

With the development of low earth orbit (LEO) satellites and unmanned aerial vehicles (UAVs), the space-air-ground integrated network (SAGIN) becomes a major trend in the next-generation networks. However, due to the instability of heterogeneous communication and time-varying characteristics of SAGIN, it is …

cn (code pays fourni par la source)

From Skeleton to Flesh: Aggregated Relational Transformer Towards Controllable Video Captioning with Two-Step Decoding

Qianwen Cao, Heyan Huang, Boran Wang

Video captioning is the task of automatically producing natural language descriptions for a given video. The great success of the Transformer architecture in NLP and CV has inspired recent attempts at constructing an end-to-end Transformer-based model for video captioning. Although achieving impressive …

cn (code pays fourni par la source)

Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks

Boran Wang, Ziye Jia, Can Cui, Qihui Wu

With the development of low earth orbit (LEO) satellites and unmanned aerial vehicles (UAVs), the space-air-ground integrated network (SAGIN) becomes a major trend in the next-generation networks. However, due to the instability of heterogeneous communication and time-varying characteristics of SAGIN, it is …

An adaptive linearized alternating direction multiplier method with a relaxation step for convex programming

Boran Wang

Alternating direction multiplication is a powerful technique for solving convex optimisation problems. When challenging subproblems are encountered in the real world, it is useful to solve them by introducing neighbourhood terms. When the neighbourhood matrix is positive definite, the algorithm converges but …

A New Fast Adaptive Linearized Alternating Direction Multiplier Method for Convex Optimization

Boran Wang

This work proposes a novel adaptive linearized alternating direction multiplier method (LADMM) to convex optimization, which improves the convergence rate of the LADMM-based algorithm by adjusting step-size iteratively.The innovation of this method is to utilize the information of the current iteration point …

Pedestrian Detection in Nighttime Infrared Images Based on Improved YOLOv8 Networks

Zhenyue Zhang, Boran Wang, Wensheng Sun

Nowadays, due to poor nighttime lighting conditions, common visible light pedestrian detection mechanisms exhibit low sensitivity, leading to potential safety hazards. To address this issue, this paper proposes a nighttime pedestrian detection method called YOLOv8_FastD based on infrared images. This method constructs …

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