Hailu Xu's homepage - Publications

2024:

Ghadeer AI Jufout, Simon Zhang, Hailu Xu, Saleh AI Jufout, "MATLAB-Based Lightweight Workload Prediction via Machine Learning Models in Distributed Systems", 2024 IEEE International Conference on Green Energy and Smart Systems (IEEE GESS 2024).
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.

2023:

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.

Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, and Shuai Xu, "Improving CNN-based Stock Trading by Considering Data Heterogeneity and Burst", International Conference on Data Mining, Big Data and Machine Learning (DBML 2023).

2022:

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). [PDF]

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.

Vega Mario, Mukesh Chowdary Madineni, Benjamin Garrett, Xiaokun Yang, and Hailu Xu, "Case Studies of Configurable Binary Design Library on FPGA", 25th International Symposium on Measurement and Control in Robotics, 2022.

Jasper Sha, Nathaniel Basara, Joseph Freedman, and Hailu Xu, "FLOR: A Federated Learning-based Music Recommendation Engine", The 31st International Conference on Computer Communications and Networks (ICCCN 2022) (poster paper).

2021:

Hailu Xu, Macro Curci, Sophanna Ek, Pinchao Liu, Zhengxiong Li, Shuai Xu. "COS2: Detecting Large-scale COVID-19 Misinformation in Social Networks". 2021 International Conference on Cloud Computing (CLOUD).

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.

Isaac Westby, Xiaokun Yang, Tao Liu, Hailu Xu, “FPGA acceleration on a multi-layer perceptron neural network for digit recognition”, The Journal of Supercomputing. (2021)

2020 and before:

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%). [PDF]

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]

Hailu Xu, Liting Hu, Pinchao Liu, and Boyuan Guan, “Exploiting the Spam Correlations in Scalable Online Social Spam Detection”, In Proceedings of the 2019 International Conference on Cloud Computing (CLOUD). (Best Student Paper Award). [PDF]

Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, and Chunhua Liao, “Machine Learning Guided Optimal Use of GPU Unified Memory”, MCHPC ’19: Workshop on Memory Centric High Performance Computing, in conjunction with SC 19, 2019. [PDF]

Boyuan Guan, Liting Hu, Pinchao Liu, Hailu Xu, Jennifer Fu, Qingyang Wang, “dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems”, In Proceedings of the 2019 International Congress on Big Data (Big Data Congress), 2019. [PDF]

Pinchao Liu, Adnan Maruf, Farzana Beente Yusuf, Labiba Jahan, Hailu Xu, Boyuan Guan, Liting Hu, and Sitharama S. Iyengar, “Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached”, In Proceedings of 2019 International Conference on Data Intelligence and Security (ICDIS 2019), June 2019. [PDF]

Hailu Xu, Liting Hu, Pinchao Liu, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang and Yuzhe Tang. "Oases: An Online Scalable Spam Detection System for Social Networks", 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD). (Accept Rate=20%). [PDF]

Hailu Xu, Boyuan Guan, Pinchao Liu, William Escudero, and Liting Hu. "Harnessing the Nature of Spam in Scalable Online Social Spam Detection", The 2018 International Workshop on Big Social Media Data Management and Analysis, in conjunction with IEEE Big Data 2018. [PDF]

Pinchao Liu, Liting Hu, Hailu Xu, Zhiyuan Shi, Jason Liu, Qingyang Wang, Jai Dayal, and Yuzhe Tang. "A Toolset for Detecting Containerized Application’s Dependencies in CaaS Clouds", 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD). (Accept Rate=20%). [PDF]

Hailu Xu, Weiqing Sun, and Ahmad Javaid. "Efficient spam detection across Online Social Networks." 2016 IEEE International Conference on Big Data Analysis (ICBDA). IEEE, 2016. [PDF]