Publications

Wei, Xijia, Dang, Ting, Al-Naimi, Khaldoon, Liu, Yang, Kawsar, Fahim, and Montanari, Alessandro. (2026). "Listening to the Mind: Earable Acoustic Sensing of Cognitive Load." Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing. pp. 665-671.

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.

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."

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Wei, Xijia and Radu, Valentin. (2022). "MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks." MobiUK 2022.

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.

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.

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.

Wei, Xijia and Radu, Valentin. (2018). "End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks." Mobiuk 2018.