Browse by UCL people
Group by: Type | Date
Number of items: 7.
Article
Wei, Xijia;
Wei, Zhiqiang;
Radu, Valentin;
(2021)
Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks.
Sensors
, 21
(22)
, Article 7488. 10.3390/s21227488.
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Wei, Zhiqiang;
Wei, Xijia;
Zhao, Xinghua;
Hu, Zongtang;
Xu, Chu;
(2024)
SGANFuzz: A Deep Learning-Based MQTT Fuzzing Method Using Generative Adversarial Networks.
IEEE Access
, 12
pp. 27210-27224.
10.1109/ACCESS.2024.3365712.
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Proceedings paper
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Wei, Xijia;
Fang, Yuan;
Chetty, Kevin;
Cho, Youngjun;
Bianchi-Berthouze, Nadia;
(2025)
Vomme: A Multimodal Sensing Platform for Video, Audio, mmWave and Skeleton Data Capturing.
In:
ANAI '25: Proceedings of the 2025 ACM Workshop on Access Networks with Artificial Intelligence.
(pp. pp. 36-40).
Association for Computing Machinery (ACM): New York, NY, USA.
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Wei, Xijia;
Fang, Yuan;
Liu, Zihan;
Zhu, Xiyue;
Wang, Jiawei;
Liu, Yifu;
Petreca, Bruna;
... Bianchi-Berthouze, Nadia; + view all
(2025)
mmWaveTryOn: The first mmWave-RGB Dataset for Clothes Try-On Multimodal Gesture Recognition.
In:
ANAI '25: Proceedings of the 2025 ACM Workshop on Access Networks with Artificial Intelligence.
(pp. pp. 31-35).
Association for Computing Machinery (ACM): New York, NY, USA.
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Wei, Xijia;
Fang, Yuan;
Shi, Fangzhan;
Wu, Shuang;
Williams, Amanda;
Gold, Nicolas;
Chetty, Kevin;
... Berthouze, Nadia; + view all
(2025)
WiProt: A WiFi-RGBD Fusion System for Robust
Protective Behaviour Recognition.
In:
Proceedings of the Second International Workshop on Radio Frequency computing (RFCom '25).
ACM (Association for Computing Machinery): New York, NY, USA.
(In press).
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Wei, Xijia;
Radu, Valentin;
(2022)
Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data.
In:
Proceedings of the 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN).
IEEE: Beijing, China.
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Conference item
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Wei, Xijia;
Wei, Zhiqiang;
Radu, Valentin;
(2022)
MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks.
Presented at: 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Lloret de Mar, Spain.
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