Hailu Xu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Social Networks

Failure Recovery

Stream Processing

Top Venues

Publications

Chao Wang, Zheng Tang, Hailu Xu
WSSGCN: Wide Sub-stage Graph Convolutional Networks. Neurocomputing 602 (2024)
Cheng-Wei Ching, Boyuan Guan, Hailu Xu, Liting Hu
StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests. CoRR (2024)
Hailu Xu, Pinchao Liu, Sarker Tanzir Ahmed, Dilma Da Silva, Liting Hu
Adaptive Fragment-Based Parallel State Recovery for Stream Processing Systems. IEEE Trans. Parallel Distributed Syst. 34 (8) (2023)
Hailu Xu, Pinchao Liu, Boyuan Guan, Qingyang Wang, Dilma Da Silva, Liting Hu
Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations. IEEE Access 11 (2023)
Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, Shuai Xu
Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst. CoRR (2023)
Brandon Delliquadri, Chao Wang, Shuo Chen, Zhengxiong Li, Hui Luo, Hailu Xu
Fast Meta Failure Recovery for Federated Meta-Learning. BigData (2023)
Guanyu Ding, Zhengxiong Li, Yusen Wu, Xiaokun Yang, Mehrdad Aliasgari, Hailu Xu
Towards an Efficient Client Selection System for Federated Learning. CLOUD (2022)
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. CoRR (2022)
Jasper Sha, Nathaniel Basara, Joseph Freedman, Hailu Xu
FLOR: A Federated Learning-based Music Recommendation Engine. ICCCN (2022)
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. TransAI (2022)
Hailu Xu, Pei-Hung Lin, Murali Emani, Liting Hu, Chunhua Liao
XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory. IEEE Access 10 (2022)
Hailu Xu, Macro Curci, Sophanna Ek, Pinchao Liu, Zhengxiong Li, Shuai Xu
COS2: Detecting Large-Scale COVID-19 Misinformation in Social Networks. CLOUD (2021)
Isaac Westby, Xiaokun Yang, Tao Liu, Hailu Xu
FPGA acceleration on a multi-layer perceptron neural network for digit recognition. J. Supercomput. 77 (12) (2021)
Hailu Xu, Pinchao Liu, Susana Cruz-Diaz, Dilma Da Silva, Liting Hu
SR3: Customizable Recovery for Stateful Stream Processing Systems. Middleware (2020)
Pinchao Liu, Hailu Xu, Dilma Da Silva, Qingyang Wang, Sarker Tanzir Ahmed, Liting Hu
FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications. IPDPS (2020)
Boyuan Guan, Liting Hu, Pinchao Liu, Hailu Xu, Zhaohui Fu, Qingyang Wang
dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems. BigData Congress (2019)
Hailu Xu, Liting Hu, Pinchao Liu, Boyuan Guan
Exploiting the Spam Correlations in Scalable Online Social Spam Detection. CLOUD (2019)
Pinchao Liu, Adnan Maruf, Farzana Beente Yusuf, Labiba Jahan, Hailu Xu, Boyuan Guan, Liting Hu, Sitharama S. Iyengar
Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached. ICDIS (2019)
Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao
Machine Learning Guided Optimal Use of GPU Unified Memory. MCHPC@SC (2019)
Hailu Xu, Boyuan Guan, Pinchao Liu, William Escudero, Liting Hu
Harnessing the Nature of Spam in Scalable Online Social Spam Detection. IEEE BigData (2018)
Hailu Xu, Liting Hu, Pinchao Liu, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, Yuzhe Tang
Oases: An Online Scalable Spam Detection System for Social Networks. IEEE CLOUD (2018)
Pinchao Liu, Liting Hu, Hailu Xu, Zhiyuan Shi, Jason Liu, Qingyang Wang, Jai Dayal, Yuzhe Tang
A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds. IEEE CLOUD (2018)