About Me

🔥 News

• 2026.02Serve as NSF Panel Reviewer.
• 2026.02SwiftBot paper accepted by CCGrid 2026. Congrats to Simon!
• 2026.02Congrats to Simon receiving the Graduate Travel Fellowship Award from CSULB!
• 2025.12Serve as NSF Panel Reviewer.
• 2025.12One paper accepted at WASP 2025. Congrats to Akash!
• 2025.07One paper accepted at SEET'25.
• 2025.07Received one grant from National Science Foundation. Thank you NSF!
• 2025.03One paper accepted at HumanSys 2025. Congrats to Simon!
• 2025.03One paper accepted at Sensors S&P 2025. 🏆 Best Paper Award
• 2025.03Received the summer stipend award from CSULB ORED.
• 2024.08One paper accepted by Neurocomputing.
• 2024.04Serving as Program Committee for IEEE Big Data 2024.
• 2023.11Serve as NSF Panel Reviewer.
• 2023.02One paper accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS).
• 2023.01One paper accepted by IEEE ACCESS.
• 2022.11Two papers accepted — TransAI 2022 and CLOUD 2022. Congrats to Guanyu!
• 2022.02Received the Faculty Small Grant from CSULB and COE.

📝 Publications

Selected Publications

SwiftBot: A Decentralized Platform for LLM-Powered Federated Robotic Task Execution

Simon Zhang, Shuai Xu, Zhengxiong Li, Fangtian Zhong, Xiaokun Yang, Hailu Xu

IEEE CCGrid 2026. (Accept Rate: 25%)

Adaptive Fragment-based Parallel State Recovery for Stream Processing Systems

Hailu Xu, Pinchao Liu, Sarker Tanzir Ahmed, Dilma Da Silva, Liting Hu

IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023.

All Publications

1. SwiftBot: A Decentralized Platform for LLM-Powered Federated Robotic Task Execution
   Simon Zhang, Shuai Xu, Zhengxiong Li, Fangtian Zhong, Xiaokun Yang, Hailu Xu
   CCGrid 2026 - 26th IEEE Intl. Symp. on Cluster, Cloud, and Internet Computing. (Accept Rate: 25%)
2. CVAE-Guided QAOA Parameter Initialization and Dynamic Injection
   Jai Nana, Xinpeng Li, Ning Xie, Lauren Li, Yifan Yu, Qiang Guan, Hailu Xu, Shusen Pu, Shuai Xu, Vipin Chaudhary
   QCE25 Q-CORE Workshop Track for the IEEE International Conference on Quantum Computing and Engineering (QCE'25).
3. Atlas: Customizing Large Language Models for Reliable Bibliographic Retrieval and Verification
   Akash Kodali, Hailu Xu, Wenlu Zhang, Xin Qin
   Proceedings of the Third Workshop for Artificial Intelligence for Scientific Publications (WASP 2025).
4. mmVanish: Extending the Vanish Attack for Multi-Radar Exploitation of mmWave Sensing with Meta-material Tags
   Xinmin Fang, Hailu Xu, Lingfeng Tao, Zhengxiong Li
   Sensor S&P'25 — Workshop on Security and Privacy of Sensing Systems. 🏆 Best Paper Award
5. Towards a Lightweight Platform for Human-Robot Interaction in Federated Edge and IoT Environments
   Simon Zhang, Zhengxiong Li, Xin Qin, Hailu Xu
   HumanSys'25 - Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems.
6. LightLLM-Enhanced Multi-Robot Collaboration with Human-in-the-Loop
   Jiaming Guo, Zhichun Qi, Xiaokuan Zhao, Shuai Xu, Hailu Xu
   2025 8th International Conference on Robotics, Control and Automation Engineering (RCAE). IEEE, 2025.
7. A Survey on Multi-Robot Collaboration Systems: Architectures, Performances, and Applications
   Simon Zhang, Zhengxiong Li, Shuai Xu, Yu Yin, Vipin Chaudhary, Hailu Xu
   TechRxiv Preprints, 2025.
8. A Scalable Software-Hardware Co-Design FPGA Platform for Floating-point Operations
   Cameron D. DiSomma, Dania Susanne Mosuli, Hailu Xu, Xiaokun Yang
   SEET'25 - Intl. Conference on Software Engineering of Emerging Technologies.
9. Pronunciation Deviation Analysis Through Voice Cloning and Acoustic Comparison
   Andrew Valdivia, Yueming Zhang, Hailu Xu, Amir Ghasemkhani, Xin Qin
   arXiv preprint arXiv:2507.10985. 2025
10. WSSGCN: Wide Sub-stage Graph Convolutional Networks
    Chao Wang, Zheng Tang, Hailu Xu
    Neurocomputing, 2024.
11. StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests
    Cheng-Wei Ching, Boyuan Guan, Hailu Xu, Liting Hu
    IEEE Intl. Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC), 2024.
12. MATLAB-Based Lightweight Workload Prediction via Machine Learning Models in Distributed Systems
    Ghadeer AI Jufout, Simon Zhang, Hailu Xu, Saleh AI Jufout
    IEEE International Conference on Green Energy and Smart Systems (GESS) 2024.
13. Adaptive Fragment-based Parallel State Recovery for Stream Processing Systems
    Hailu Xu, Pinchao Liu, Sarker Tanzir Ahmed, Dilma Da Silva, Liting Hu
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023.
14. Improving CNN-based Stock Trading by Considering Data Heterogeneity and Burst
    Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, and Shuai Xu
    International Conference on Data Mining, Big Data and Machine Learning (DBML 2023).
15. Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations
    Hailu Xu, Pinchao Liu, Boyuan Guan, Qingyang Wang, Dilma Da Silva, Liting Hu
    IEEE Access, 2023.
16. Fast Meta Failure Recovery for Federated Meta-Learning
    Brandon Delliquadri, Chao Wang, Shuo Chen, Zhengxiong Li, Hui Luo, Hailu Xu
    2023 IEEE International Conference on Big Data (BigData), 2023.
17. XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory
    Hailu Xu, Pei-Hung Lin, Murali Emani, Liting Hu, Chunhua Liao
    IEEE Access, vol. 10, pp. 82614–82625, 2022.
18. Towards an Efficient Client Selection for Federated Learning
    Guanyu Ding, Zhengxiong Li, Yusen Wu, Xiaokun Yang, Mehrdad Aliasgari, Hailu Xu
    CLOUD 2022 - International Conference on Cloud Computing.
19. Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study
    Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu
    TransAI 2022 - 4th Intl. Conference on Transdisciplinary AI.
20. Case Studies of Configurable Binary Design Library on FPGA
    Vega Mario, Mukesh Chowdary Madineni, Benjamin Garrett, Xiaokun Yang, and Hailu Xu
    25th International Symposium on Measurement and Control in Robotics, 2022.
21. FLOR: A Federated Learning-based Music Recommendation Engine
    Jasper Sha, Nathaniel Basara, Joseph Freedman, and Hailu Xu
    The 31st International Conference on Computer Communications and Networks (ICCCN 2022). (poster paper)
22. Behavior modeling via cursor movement data
    Beiyu Lin, Xiaowei Jia, S. Chauhan, Hailu Xu, and X. Huang
    IEEE Rising Stars Poster Competition, 2022. 🏆 People Choice Award
23. COS2: Detecting Large-scale COVID-19 Misinformation in Social Networks
    Hailu Xu, Marco Curci, Sophanna Ek, Pinchao Liu, Zhengxiong Li, Shuai Xu
    CLOUD 2021 — International Conference on Cloud Computing.
24. FPGA acceleration on a multi-layer perceptron neural network for digit recognition
    Isaac Westby, Xiaokun Yang, Tao Liu, Hailu Xu
    The Journal of Supercomputing, 2021.
25. Sentiment Analysis of Long-term Social Data during the COVID-19 Pandemic
    Sophanna Ek, Marco Curci, Xiaokun Yang, Beiyu Lin, Pinchao Liu, and Hailu Xu
    The 22nd International Conference on Internet Computing and Internet of Things, 2021.
26. SR3: Customizable Recovery for Stateful Stream Processing Systems
    Hailu Xu, Pinchao Liu, Susana Cruz-Diaz, Dilma Da Silva, and Liting Hu
    The 21st ACM/IFIP Middleware Conference (Middleware 2020). (Accept Rate = 25%) [PDF]
27. FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications
    Pinchao Liu, Hailu Xu, Dilma Da Silva, Qingyang Wang, Sarker Tanzir Ahmed, and Liting Hu
    34th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2020) (Accept Rate: 27.7%). [PDF]
28. Exploiting the Spam Correlations in Scalable Online Social Spam Detection
    Hailu Xu, Liting Hu, Pinchao Liu, and Boyuan Guan
    2019 International Conference on Cloud Computing (CLOUD 2019). 🏆 Best Student Paper Award [PDF]
29. Machine Learning Guided Optimal Use of GPU Unified Memory
    Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, and Chunhua Liao
    MCHPC '19: Workshop on Memory Centric High Performance Computing, in conjunction with SC 19, 2019. [PDF]
30. dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems
    Boyuan Guan, Liting Hu, Pinchao Liu, Hailu Xu, Jennifer Fu, Qingyang Wang
    2019 International Congress on Big Data (Big Data Congress), 2019. [PDF]
31. Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached
    Pinchao Liu, Adnan Maruf, Farzana Beente Yusuf, Labiba Jahan, Hailu Xu, Boyuan Guan, Liting Hu, and Sitharama S. Iyengar
    2019 International Conference on Data Intelligence and Security (ICDIS 2019), June 2019. [PDF]
32. Oases: An Online Scalable Spam Detection System for Social Networks
    Hailu Xu, Liting Hu, Pinchao Liu, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, and Yuzhe Tang
    2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018). (Accept Rate = 20%) [PDF]
33. Harnessing the Nature of Spam in Scalable Online Social Spam Detection
    Hailu Xu, Boyuan Guan, Pinchao Liu, William Escudero, and Liting Hu
    2018 International Workshop on Big Social Media Data Management and Analysis, in conjunction with IEEE Big Data 2018. [PDF]
34. A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds
    Pinchao Liu, Liting Hu, Hailu Xu, Zhiyuan Shi, Jason Liu, Qingyang Wang, Jai Dayal, and Yuzhe Tang
    2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018). (Accept Rate = 20%) [PDF]
35. Efficient spam detection across Online Social Networks
    Hailu Xu, Weiqing Sun, and Ahmad Javaid
    2016 IEEE International Conference on Big Data Analysis (ICBDA). IEEE, 2016. [PDF]

🎖 Honors and Awards

• 2025Best Paper Award, Sensors S&P
• 2024HACU Travel Award, HSI Grant Writing Symposium
• 2022-2024CSULB Research, Scholarship, and Creative Activity Awards
• 2022People Choice Award - IEEE Rising Stars Poster Competition
• 2019Best Student Paper Award - CLOUD 2019

💼 Experience

💼 Education

Ph.D., Computer Science

Florida International University

2016 -- 2020

M.S., Computer Science

University of Toledo

2014 -- 2016

B.S., Computer Science

North China Electric Power University

2010 -- 2014

🎓 Teaching

CSULB — California State University, Long Beach

CECS 327 - Introduction to Networks and Distributed Computing2023 -- 2026

CECS 326 - Operating Systems2020 -- 2026

CECS 526 - Advanced Operating Systems2021, 2023

CECS 274 - Data Structures2020

FIU — Florida International University

COP 5614 - Operating Systems (Graduate)Spring 2018, Fall 2019

COP 4610 - Operating Systems (Undergraduate)Fall 2017, Fall 2018, Spring 2019

COP 4710 - Database ManagementSummer 2018

CGS 2518 - Data AnalysisSpring 2017

UT — University of Toledo

EECS 1100 - Digital Logic DesignFall 2015

👥 Research Group

I am actively looking for motivated CS/CE master & undergraduate students. Interests: AI systems, multi-robot computing, distributed deep learning, big data processing.

Graduate Students

Simon Zhang

BS: CSULB

Sophanna Ek

BS: UCSD

Marco Curci

BS: U of Oregon

Undergraduate Students

Simone Gibson

Zarya Amin

Ryan Tran

Rishika Baranwal

Nicholas Chan

Guanyu Ding

Shrawak Shakya

Ninjin Odkhuu

Sean Nightingale

Brandon Delliquadri

Zixi Liu

Aidan Gray

🏅 Services

NSF Panel Reviewer

• Feb 2026 · Dec 2025 · Nov 2023

Beach Mentor (Advancing Inclusive Mentoring) 2022-2023

• As part of the National Institute of Health's (NIH) Building Infrastructure Leading to Diversity (BUILD), provide a variety of engaging training to promote undergraduate student success.

Applied Data Science Program Coordinator, CSULB, 2023

• Design curriculum and course paths for new introduced Applied Data Science Program at department.

Curriculum & Educational Policies Council, CSULB, 2023-2026

• Serve as the primary advisory body to the Academic Senate and University administration on matters pertaining to the educational policies of the university.

Program Committee

• IEEE ICDM 2025
• IEEE BigData 2021 - 2025
• ACM Multimedia 2023, 2022, 2021
• ECML/PKDD 2023
• IEEE ICDCS 2021
• CLOUD 2022, 2021
• IEEE ICBDA 2023, 2022

Journal Editorial / Review

• Journal of Intelligent & Fuzzy Systems - Associate Editor
• PLOS One - Associate Editor
• IEEE Transactions on Computers
• IEEE Transactions on Evolutionary Computation
• IEEE Transactions on Parallel and Distributed Systems
• Future Generation Computer Systems
• Social Network Analysis and Mining
• Journal of Network and Computer Applications
• Peer-to-Peer Networking and Applications
• Data & Knowledge Engineering
• Journal of Computational Social Science
• Cluster Computing
• ACM Transactions on Internet Technology
• International Journal of Data Science and Analytics

Other

• Session Chair - SEET 2025
• Session Chair - IEEE CLOUD 2019
• Judge - 2022 Riverside County Science and Engineering Fair

✉️ Contact

✉️

Email

hailu.xu at csulb.edu

📍

Office Address

250 Bellflower Blvd
Long Beach, CA 90840

🏫

Department

Computer Engineering & Computer Science
California State University, Long Beach