Xiongwei Wu

Orcid: 0000-0002-3475-5212

According to our database1, Xiongwei Wu authored at least 28 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Learning Universal Trajectory Representation via a Siamese Geography-Aware Transformer.
ISPRS Int. J. Geo Inf., February, 2024

2023
A novel cooperative path planning method based on UCR-FCE and behavior regulation for large-scale multi-robot system.
Appl. Intell., December, 2023

A Map-Matching Algorithm With Extraction of Multi-Group Information for Low-Frequency Data.
IEEE Intell. Transp. Syst. Mag., 2023

2022
Collaborative Intelligent Reflecting Surface Networks With Multi-Agent Reinforcement Learning.
IEEE J. Sel. Top. Signal Process., 2022

A Multi-Attention Tensor Completion Network for Spatiotemporal Traffic Data Imputation.
IEEE Internet Things J., 2022

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization.
IEEE Trans. Wirel. Commun., 2021

Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic.
IEEE Trans. Commun., 2021

A Large-Scale Benchmark for Food Image Segmentation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks.
IEEE Trans. Commun., 2020

Feature agglomeration networks for single stage face detection.
Neurocomputing, 2020

Single-shot bidirectional pyramid networks for high-quality object detection.
Neurocomputing, 2020

Recent advances in deep learning for object detection.
Neurocomputing, 2020

Identification and Sensing of Wear Debris Caused by Fretting Wear of Electrical Connectors.
IEICE Trans. Electron., 2020

Meta-RCNN: Meta Learning for Few-Shot Object Detection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Task Offloading for Automatic Speech Recognition in Edge-Cloud Computing Based Mobile Networks.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

Latency-Minimized Design of secure transmissions in UAV-Aided Communications.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach.
IEEE Trans. Wirel. Commun., 2019

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Latency Driven Fronthaul Bandwidth Allocation and Cooperative Beamforming for Cache-enabled Cloud-based Small Cell Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection.
CoRR, 2018

Three-User Mimo Broadcast Channel with Delayed Csit: A Higher Achievable DoF.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Content Delivery Design for Cache-Aided Cloud Radio Access Network to Achieve Low Latency.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
Simplified performance comparison metric based on asymptotic threshold ranking for MIMO radar estimation.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks.
CoRR, 2015


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