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 Univeristy 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 Univeristy 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 Undergradute students to join our group. Please feel free to send me your CV and unofficial transcript to my email address. Details can be found in this page. Students at CSULB can directly visit my office or send me an email if you are interested.
SpamX: Next-generation system for efficient online scalable social spam detection
April 2021: One paper is accepted by ICOMP 21, congrats to Sophanna and Marco!
April 2021: One paper is accepted by The Journal of Supercomputing.
March 2021: Serve as Associate Editor for Journal of Intelligent & Fuzzy Systems.
March 2021: I will serve as the Program Committee in the 34th International Conference on Computer Applications in Industry and Engineering (CAINE 2021). Please consider submitting!
December 2020: I will serve as the Program Committee in the 41st IEEE International Conference on Distributed Computing Systems (ICDCS 2021). Please consider submitting!
Sophanna Ek, Marco Curci, Xiaokun Yang, Beiyu Lin, Pinchao Liu, Hailu Xu, "Sentiment Analysis of Long-term Social Data during the COVID-19 Pandemic", The 22nd Int'l Conference on Internet Computing and Internet of Things.
Hailu Xu, Pinchao Liu, Susana Cruz-Diaz, Dilma Da Silva, and Liting Hu, “SR3: Customizable Recovery for Stateful Stream Processing Systems”, The 21st ACM/IFIP Middleware conference 2020 (Middleware 2020). (Accept Rate = 25%).
Pinchao Liu, Hailu Xu, Dilma Da Silva, Qingyang Wang, Sarker Tanzir Ahmed, and Liting Hu. "FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications", 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2020). [PDF]