Meng Xu

Orcid: 0000-0003-3282-9318

Affiliations:
  • Queen Mary University of London, London, UK


According to our database1, Meng Xu authored at least 15 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DARKAN: Daily Activity Recognition Using Optimized Wavelet-Based Kolmogorov-Arnold Networks.
IEEE Trans. Artif. Intell., May, 2026

PSL: Prototype swapping learning for modality imbalance.
Neural Networks, 2026

TransHAR: Toward Intent-Aware Transformer-Based Human Activity Recognition in Intelligent IoT Communication Systems.
IEEE Internet Things J., 2026

2025
WiKAN: Lightweight Kolmogorov-Arnold Networks for accurate indoor WiFi localization.
Pervasive Mob. Comput., 2025

RaCo: Reliable multi-augmentation complementary label learning.
Inf. Sci., 2025

BEV-Locator: an end-to-end visual semantic localization network using multi-view images.
Sci. China Inf. Sci., 2025

HARNet: Human Activity Recognition with Spatial-Temporal Features.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

KANLoc: WiFi Localization with A Lightweight KAN.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

2024
A critical analysis of image-based camera pose estimation techniques.
Neurocomputing, February, 2024

WiLoc: Encoding-based WiFi Indoor Localization.
Proceedings of the 14th International Conference on Indoor Positioning and Indoor Navigation, 2024

2023
Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features.
Sensors, 2023

MCAPR: Multi-modality Cross Attention for Camera Absolute Pose Regression.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
A Critical Analysis of Image-based Camera Pose Estimation Techniques.
CoRR, 2022

2021
Optimized Computation Combining Classification and Detection Networks with Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Stricter Constraint Produces Outstanding Matching: Learning More Reliable Image Matching Using a Quadratic Hinge Triplet Loss Network.
Proceedings of the 47th Graphics Interface Conference, 2021


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