Hailu Xu's homepage

Hailu Xu

Assistant Professor at California State University, Long Beach

Biograph

Hailu Xu is a tenure-track assistant professor of Department of Computer Engineering & Computer Science at California State University, Long Beach. He received his PhD degree of Computer Science from Florida International University in Summer 2020. He obtained a master degree from the Department of EECS at the University of Toledo in Summer 2016 and bachelor degree in computer science at North China Electric Power University in the Summer 2014.

I am looking for Computer Science/Computer Engineering students to join our group. Please feel free to send me your CV and unofficial transcript to my email address. Students at CSULB can directly visit my office.

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System, Data, and AI

Hailu Xu's research focuses on systems with particular emphasis on AI models, distributed DL, big data processing, stream processing, Cloud and IoT. He designs and implements systems for integrating AI models, supporting efficient distributed deep learning, analyzing social streaming data, handling security issues and recovering failures in streaming systems, and processing data in the cloud and edge environment.

News

July 2025: One paper accepted by SEET'25.

Mar 2025: One paper accepted by HumanSys 2025. Congrats to Simon!

Mar 2025: One paper accepted by Sensors S&P 2025.

Mar 2025: I received the summer stipend award from CSULB. Thanks to CSULB ORED!

Aug 2024: One paper accepted by Neurocomputing.

Apr 2024: Serve as Program Committee in the IEEE Big Data 2024, please consider submit!

Nov 2023: Serve as NSF Panel Reviewer.

Feb 2023: One paper got accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS).

Jan 2023: One paper got accepted by IEEE ACCESS.

Nov 2022: One paper got accepted by TransAI 2022.

Nov 2022: One paper got accepted by CLOUD 2022. Congrats to Guanyu!

Aug 2022: One paper got accepted by IEEE ACCESS.

Mar 2022: Serve as Program Committee in the 30th ACM International Conference on Multimedia (ACM MM)

Feb 2022: Serve as a judge for 2022 Riverside County Science and Engineering Fair

Feb 2022: Received the Faculty Small Grant, thanks to CSULB and COE!

Latest Publications

Simon Zhang, Zhengxiong Li, Xin Qin, and Hailu Xu. "Towards a Lightweight Platform for Human-Robot Interaction in Federated Edge and IoT Environments." In Proceedings of the International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems (HumanSys'25)
Valdivia, Andrew, Yueming Zhang, Hailu Xu, Amir Ghasemkhani, and Xin Qin. "Pronunciation Deviation Analysis Through Voice Cloning and Acoustic Comparison." arXiv preprint arXiv:2507.10985 (2025)
Cameron D. DiSomma, Dania Susanne Mosuli, Hailu Xu, and Xiaokun Yang, “A Scalable Software-Hardware Co-Design FPGA Platform for Floating-point Operations”, In Proceedings of the International Conference on Software Engineering of Emerging Technologies (SEET'25)
Xinmin Fang, Hailu Xu, Lingfeng Tao, and Zhengxiong Li. "mmVanish: Extending the Vanish Attack for Multi-Radar Exploitation of mmWave Sensing with Meta-material Tags." In the International Workshop on Security and Privacy of Sensing Systems (Sensor S&P'25), pp. 12-16. 2025. (Best Paper Award)
Chao Wang, Zheng Tang, Hailu Xu, "WSSGCN: Wide Sub-stage Graph Convolutional Networks", Neurocomputing, 2024,
Brandon Delliquadri, Chao Wang, Shuo Chen, Zhengxiong Li, Hui Luo, and Hailu Xu. "Fast Meta Failure Recovery for Federated Meta-Learning." In 2023 IEEE International Conference on Big Data (BigData), pp. 3154-3158. IEEE, 2023.
Hailu Xu, Pinchao Liu, Sarker Tanzir Ahmed, Dilma Da Silva, and Liting Hu, "Adaptive Fragment-based Parallel State Recovery for Stream Processing Systems", in IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023.
Hailu Xu, Pinchao Liu, Boyuan Guan, Qingyang Wang, Dilma Da Silva, and Liting Hu, "Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations," in IEEE Access, 2023.

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