Hi there!👋 I am a Ph.D. student at University of Electronic Science and Technology of China, supervised by Prof. Guoqing Wang. Previously, I worked as an Algorithm Engineer at East Hope Group (China) and as a Research Associate in the Sensors, Clouds, and Services Laboratory (SCSLab) at the University of Sydney. Many thanks to Prof. Tongliang Liu and my Master’s supervisor, Prof. Athman Bouguettaya, for their continuous support and guidance.
My research centers on time-series analysis and multimodal learning. I am always open to interesting research collaborations and discussions. Feel free to connect with me!
📖 Education:
06/2025 - Present, Ph.D. in Artificial Intelligence, UESTC
02/2022 - 2023.08, M.I.T. Research Pathway, USYD
09/2016 - 2020.06, B.Eng. in Electronic Information Science and Technology, CUIT
💼 Work:
03/2024. - 2025.6, Algorithm Engineer, East Hope Group (China)
08/2023 - 2024.02, Research Associate, SCSLab (Australia)
🔥 News:
07/2023, Served as a Session Chair at ICWS 2023 (Core A).
05/2023, One paper was accepted by ICWS 2023 (Core A).
03/2023, One paper was accepted by PerCom 2023 (Core A*).
11/2022, One paper was accepted by ICSOC 2022 (Core A).
🏆 Honors and Awards:
04/2025, 14th Place Nationwide in the China Industrial Algorithm Challenge
08/2023, HDR-RASF, University of Sydney
02/2023, HDR-RASF, University of Sydney
05/2019, 1st Prize in the College Student Innovation Cup Competition
📝 Publications:
Energy Loss Prediction in IoT Energy Services
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. “Energy Loss Prediction in IoT Energy Services.” 2023 IEEE International Conference on Web Services (ICWS). IEEE, 2023.
Monitoring efficiency of iot wireless charging
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. “Monitoring efficiency of iot wireless charging.” 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, 2023.
Towards peer-to-peer sharing of wireless energy services
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. “Towards peer-to-peer sharing of wireless energy services.” International Conference on Service-Oriented Computing. Cham: Springer Nature Switzerland, 2022.
Establishment of Neural Networks Robust to Label Noise
Pengwei Yang, Chongyangzi Teng, and Jack George Mangos. “Establishment of Neural Networks Robust to Label Noise.” arXiv preprint arXiv:2211.15279 (2022).
Containminated Images Recovery by Implementing Non-negative Matrix Factorisation
Pengwei Yang, Chongyangzi Teng, and Jack George Mangos. “Contaminated Images Recovery by Implementing Non-negative Matrix Factorisation.” arXiv preprint arXiv:2211.04247 (2022).
Multimodal in Multi-Label Classification: A Report
Chongyangzi Teng, Pengwei Yang, and Mengshen Guo. “Multimodal in Multi-Label Classification: A Report.”
Techniques in Deep Learning: A Report
Chongyangzi Teng, Pengwei Yang, and Mengshen Guo. “Techniques in Deep Learning: A Report.”
🗂️ Projects:
Monitoring Efficiency of IoT Wireless Charging
Towards Peer-to-Peer Sharing of Wireless Energy Services
Energy Loss Prediction in IoT Energy Services
