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2020 – today
- 2024
[j5]Chao Wang
, Zheng Tang, Hailu Xu:
WSSGCN: Wide Sub-stage Graph Convolutional Networks. Neurocomputing 602: 128273 (2024)- [c15]Cheng-Wei Ching, Boyuan Guan, Hailu Xu, Liting Hu:
StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests. AIoTC 2024: 5-10 - [i3]Cheng-Wei Ching, Boyuan Guan, Hailu Xu, Liting Hu:
StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests. CoRR abs/2407.18148 (2024) - 2023
- [j4]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: 7768-7781 (2023) - [j3]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): 2464-2478 (2023) - [c14]Brandon Delliquadri, Chao Wang, Shuo Chen, Zhengxiong Li, Hui Luo, Hailu Xu:
Fast Meta Failure Recovery for Federated Meta-Learning. IEEE Big Data 2023: 3154-3158 - [i2]Keer Yang, Guanqun Zhang, Chuan Bi, Qiang Guan, Hailu Xu, Shuai Xu:
Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst. CoRR abs/2303.09407 (2023) - 2022
- [j2]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: 82614-82625 (2022) - [c13]Guanyu Ding, Zhengxiong Li, Yusen Wu, Xiaokun Yang, Mehrdad Aliasgari, Hailu Xu:
Towards an Efficient Client Selection System for Federated Learning. CLOUD 2022: 13-21 - [c12]Jasper Sha, Nathaniel Basara, Joseph Freedman, Hailu Xu:
FLOR: A Federated Learning-based Music Recommendation Engine. ICCCN 2022: 1-2 - [c11]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: 128-134 - [i1]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 abs/2211.02092 (2022) - 2021
- [j1]Isaac Westby, Xiaokun Yang, Tao Liu, Hailu Xu:
FPGA acceleration on a multi-layer perceptron neural network for digit recognition. J. Supercomput. 77(12): 14356-14373 (2021) - [c10]Hailu Xu, Macro Curci, Sophanna Ek, Pinchao Liu, Zhengxiong Li, Shuai Xu:
COS2: Detecting Large-Scale COVID-19 Misinformation in Social Networks. CLOUD 2021: 97-104 - 2020
- [c9]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: 1102-1111 - [c8]Hailu Xu, Pinchao Liu, Susana Cruz-Diaz, Dilma Da Silva, Liting Hu:
SR3: Customizable Recovery for Stateful Stream Processing Systems. Middleware 2020: 251-264
2010 – 2019
- 2019
- [c7]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: 111-120 - [c6]Hailu Xu, Liting Hu, Pinchao Liu, Boyuan Guan:
Exploiting the Spam Correlations in Scalable Online Social Spam Detection. CLOUD 2019: 146-160 - [c5]Pinchao Liu, Adnan Maruf, Farzana Beente Yusuf, Labiba Jahan, Hailu Xu, Boyuan Guan, Liting Hu, S. Sitharama Iyengar:
Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached. ICDIS 2019: 188-194 - [c4]Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao:
Machine Learning Guided Optimal Use of GPU Unified Memory. MCHPC@SC 2019: 64-70 - 2018
- [c3]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: 98-105 - [c2]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: 194-201 - [c1]Hailu Xu, Boyuan Guan, Pinchao Liu, William Escudero, Liting Hu:
Harnessing the Nature of Spam in Scalable Online Social Spam Detection. IEEE BigData 2018: 3733-3736
Coauthor Index
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