Hailu Xu
Assistant Professor at California State University, Long Beach
Biograph
Hailu Xu is a tenure-track assistant professor of the Department of Computer Engineering & Computer Science at California State University, Long Beach. He received his PhD degree from Florida International University School of Computing and Information Sciences 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 graduate and undergraduate 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.
System, Data, and AI
Hailu Xu's research focuses on systems with particular emphasis on AI models, big data processing, stream processing, Cloud and IoT. He designs and implements systems for integrating AI models, analyzing social streaming data, handling security issues with social networks, recovering failures in streaming systems, and processing data in the cloud and edge environment.
News
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), please consider submit!
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
Cheng-Wei Ching, Boyuan Guan, Hailu Xu, and Liting Hu, "StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests" in Arxiv, 2024.
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.
Guanyu Ding, Zhengxiong Li, Yusen Wu, Xiaokun Yang, Mehrdad Aliasgari, Hailu Xu, "Towards an Efficient Client Selection for Federated Learning", 2022 International Conference on Cloud Computing (CLOUD).