Assistant Professor at California State University, Long Beach
Hailu Xu is a tenure-track assistant professor at California State University, Long Beach Department of Computer Engineering & Computer Science. He received his PhD degree from Florida International University School of Computing and Information Sciences (Advisor: Dr. Liting Hu) in Summer 2020. He obtained his master degree from Department of EECS (Advisor: Dr. Weiqing Sun) at University of Toledo in Summer 2016 and bachelor degree in computer science at North China Electric Power University in Summer 2014.
System, Data, and Stream
Hailu Xu's research focuses on systems with particular emphasis on online social spam detection, big data processing, and streaming processing. He designs and implements systems for analyzing social streaming data, handling security issues with social networks, recovering failures in streaming systems, and processing data in the cloud and edge environment.
I am actively 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. Details can be found on this page. Students at CSULB can directly visit my office or send me an email if you are interested.
AutoFL: Automated resource allocation for distributed federated learning
SpamX: Next-generation system for efficient online scalable social spam detection
April 2023: Serve as Program Committee in the IEEE Big Data 2023, please consider submit!
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!
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).
Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu, "Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study", In 2022 Fourth International Conference on Transdisciplinary AI (TransAI) (pp. 128-134). IEEE.
Hailu Xu, Pei-Hung Lin, Murali Emani, Liting Hu and Chunhua Liao, "XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory," in IEEE Access, vol. 10, pp. 82614-82625, 2022.