Published in IEEE Access, 2024
A deep learning-based MQTT fuzzing method using generative adversarial networks.
Recommended citation: Wei, Zhiqiang, Wei, Xijia, Zhao, Xinghua, Hu, Zongtang, and Xu, Chu. (2024). "SGANFuzz: A deep learning-based MQTT fuzzing method using generative adversarial networks." IEEE Access. 12, pp. 27210-27224.
Published in Sensors, 2021
Sensor-fusion for smartphone location tracking using hybrid multimodal deep neural networks.
Recommended citation: Wei, Xijia, Wei, Zhiqiang, and Radu, Valentin. (2021). "Sensor-fusion for smartphone location tracking using hybrid multimodal deep neural networks." Sensors. 21(22), pp. 7488.
Published in ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
Cognitive load monitoring via earable acoustic sensing.
Recommended citation: Quan, Jiatao, Al-Naimi, Khaldoon, Wei, Xijia, Liu, Yang, Kawsar, Fahim, Montanari, Alessandro, and Dang, Ting. (2025). "Cognitive Load Monitoring via Earable Acoustic Sensing." ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 1-5.
Published in IEEE 2025, 2025
Emotion in art-elicited texts, interpreted by GPT-4o: self vs. third-person perspectives.
Recommended citation: Narimatsu, Hiromi, Nomura, Keishi, Wei, Xijia, Berthouze, Nadia, and Kumano, Shiro. (2025). "Emotion in Art-Elicited Texts, Interpreted by GPT-4o: Self vs. Third-Person Perspectives."
Published in 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025
Real-time drone detection in 3D space from dual mmWave radar cubes.
Recommended citation: Fang, Yuan, Shi, Fangzhan, Wei, Xijia, Chen, Qingchao, Chetty, Kevin, and Julier, Simon. (2025). "CubeDN: Real-Time Drone Detection in 3D Space from Dual mmWave Radar Cubes." 2025 IEEE International Conference on Robotics and Automation (ICRA). pp. 3977-3983.
Published in Proceedings of the Second International Workshop on Radio Frequency (RF) Computing, 2025
A WiFi-RGBD fusion system for robust protective behaviour recognition.
Recommended citation: Wei, Xijia, Fang, Yuan, Shi, Fangzhan, Wu, Shuang, Williams, Amanda, Gold, Nicolas, Chetty, Kevin, Cho, Youngjun, and Bianchi-Berthouze, Nadia. (2025). "WiProt: A WiFi-RGBD Fusion System for Robust Protective Behaviour Recognition." Proceedings of the Second International Workshop on Radio Frequency (RF) Computing. pp. 6-11.
Published in Proceedings of the 3rd ACM Workshop on Smart Wearable Systems and Applications, 2025
Multi-sensor fusion for indoor smartphone localization with attention mechanism.
Recommended citation: Li, Haoxuan, Wei, Xijia, Wei, Zhiqiang, Radu, Valentin, Wang, Cheng, and Li, Wenda. (2025). "Multi-Sensor Fusion for Indoor Smartphone Localization with Attention Mechanism." Proceedings of the 3rd ACM Workshop on Smart Wearable Systems and Applications. pp. 19-24.
Published in Proceedings of the 2025 ACM Workshop on Access Networks with Artificial Intelligence, 2025
The first mmWave-RGB dataset for clothes try-on multimodal gesture recognition.
Recommended citation: Wei, Xijia, Fang, Yuan, Liu, Zihan, Zhu, Xiyue, Wang, Jiawei, Liu, Yifu, Petreca, Bruna, Baurley, Sharon, Chetty, Kevin, Cho, Youngjun, et al. (2025). "mmWaveTryOn: The first mmWave-RGB Dataset for Clothes Try-On Multimodal Gesture Recognition." Proceedings of the 2025 ACM Workshop on Access Networks with Artificial Intelligence. pp. 31-35.
Published in Proceedings of the 2025 ACM Workshop on Access Networks with Artificial Intelligence, 2025
A multimodal sensing platform for capturing video, audio, mmWave and skeleton data.
Recommended citation: Wei, Xijia, Fang, Yuan, Chetty, Kevin, Cho, Youngjun, and Bianchi-Berthouze, Nadia. (2025). "Vomee: A Multimodal Sensing Platform for Video, Audio, mmWave and Skeleton Data Capturing." Proceedings of the 2025 ACM Workshop on Access Networks with Artificial Intelligence. pp. 36-40.
Published in 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), 2023
A multimodal fabric assessment touch gesture dataset to slow down fast fashion.
Recommended citation: Olugbade, Temitayo, Lin, Lili, Sansoni, Alice, Warawita, Nihara, Gan, Yuanze, Wei, Xijia, Petreca, Bruna, Boccignone, Giuseppe, Atkinson, Douglas, Cho, Youngjun, et al. (2023). "FabricTouch: A multimodal fabric assessment touch gesture dataset to slow down fast fashion." 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII). pp. 1-8.
Published in International Conference on Affective Computing + Intelligent Interaction (ACII), 2023
Leveraging WiFi sensing toward automatic recognition of pain behaviors.
Recommended citation: Wei, Xijia, Olugbade, Temitayo, Shi, Fangzhan, Wu, Shuang, Williams, Amanda, Gold, Nicholas, Cho, Youngjun, Chetty, Kevin, and Bianchi-Berthouze, Nadia. (2023). "Leveraging WiFi Sensing Toward Automatic Recognition of Pain Behaviors." International Conference on Affective Computing + Intelligent Interaction.
Published in MobiUK 2023, 2023
Understanding the quality of body movement by leveraging WiFi sensing.
Recommended citation: Wei, Xijia, Shi, Fangzhan, Wu, Shuang, Chetty, Kevin, Cho, Youngjun, and Berthouze, Nadia. (2023). "Understanding the Quality of Body Movement by Leveraging WiFi Sensing." MobiUK 2023.
Published in 2022 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2022
Leveraging transfer learning for robust multimodal positioning systems based on smartphone multisensory data.
Recommended citation: Wei, Xijia and Radu, Valentin. (2022). "Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data." 2022 International Conference on Indoor Positioning and Indoor Navigation (IPIN). pp. 1-8.
Published in MobiUK 2022, 2022
A transfer learning based multimodal machine learning localization system for dynamic sensor networks.
Recommended citation: Wei, Xijia and Radu, Valentin. (2022). "MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks." MobiUK 2022.
Published in 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2021
Cross-sensor indoor smartphone location tracking using multimodal deep neural networks.
Recommended citation: Wei, Xijia, Wei, Zhiqiang, and Radu, Valentin. (2021). "MM-Loc: Cross-sensor indoor smartphone location tracking using multimodal deep neural networks." 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN). pp. 1-8.
Published in 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2019
Calibrating recurrent neural networks on smartphone inertial sensors for location tracking.
Recommended citation: Wei, Xijia and Radu, Valentin. (2019). "Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking." 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). pp. 1-8.
Published in Mobiuk 2018, 2018
End-to-end machine learning for smartphone-based indoor localisation and tracking using recurrent neural networks.
Recommended citation: Wei, Xijia and Radu, Valentin. (2018). "End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks." Mobiuk 2018.