Hailu Xu

According to our database, Hailu Xu authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

WSSGCN: Wide Sub-stage Graph Convolutional Networks.

Chao Wang, Zheng Tang, Hailu Xu

Neurocomputing, 2024

StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests.

Cheng-Wei Ching, Boyuan Guan, Hailu Xu, Liting Hu

Proceedings of the 3rd International Conference on Artificial Intelligence, 2024

2023

Adaptive Fragment-Based Parallel State Recovery for Stream Processing Systems.

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

IEEE Trans. Parallel Distributed Syst., August, 2023

Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst.

Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, Shuai Xu

CoRR, 2023

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

Fast Meta Failure Recovery for Federated Meta-Learning.

Brandon Delliquadri, Chao Wang, Shuo Chen, Zhengxiong Li, Hui Luo, Hailu Xu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory.

Hailu Xu, Pei-Hung Lin, Murali Emani, Liting Hu, Chunhua Liao

IEEE Access, 2022

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

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

FLOR: A Federated Learning-based Music Recommendation Engine.

Jasper Sha, Nathaniel Basara, Joseph Freedman, Hailu Xu

Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

Towards an Efficient Client Selection System for Federated Learning.

Guanyu Ding, Zhengxiong Li, Yusen Wu, Xiaokun Yang, Mehrdad Aliasgari, Hailu Xu

Proceedings of the Cloud Computing - CLOUD 2022, 2022

2021

FPGA acceleration on a multi-layer perceptron neural network for digit recognition.

Isaac Westby, Xiaokun Yang, Tao Liu, Hailu Xu

J. Supercomput., 2021

COS2: Detecting Large-Scale COVID-19 Misinformation in Social Networks.

Hailu Xu, Macro Curci, Sophanna Ek, Pinchao Liu, Zhengxiong Li, Shuai Xu

Proceedings of the Cloud Computing - CLOUD 2021, 2021

2020

SR3: Customizable Recovery for Stateful Stream Processing Systems.

Hailu Xu, Pinchao Liu, Susana Cruz-Diaz, Dilma Da Silva, Liting Hu

Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications.

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

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Machine Learning Guided Optimal Use of GPU Unified Memory.

Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao

Proceedings of the 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, 2019

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, S. Sitharama Iyengar

Proceedings of the 2nd International Conference on Data Intelligence and Security, 2019

Exploiting the Spam Correlations in Scalable Online Social Spam Detection.

Hailu Xu, Liting Hu, Pinchao Liu, Boyuan Guan

Proceedings of the Cloud Computing - CLOUD 2019, 2019

dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems.

Boyuan Guan, Liting Hu, Pinchao Liu, Hailu Xu, Zhaohui Fu, Qingyang Wang

Proceedings of the 2019 IEEE International Congress on Big Data, 2019

2018

Harnessing the Nature of Spam in Scalable Online Social Spam Detection.

Hailu Xu, Boyuan Guan, Pinchao Liu, William Escudero, Liting Hu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Oases: An Online Scalable Spam Detection System for Social Networks.

Hailu Xu, Liting Hu, Pinchao Liu, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, Yuzhe Tang

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

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, Yuzhe Tang

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018