A Toolset for Detecting Containerized Application's Dependencies in CaaS Clouds. - Pinchao Liu; Liting Hu; Hailu Xu; Zhiyuan Shi; Jason Liu 001; Qingyang Wang 001; Jai Dayal; Yuzhe Tang (IEEE CLOUD, 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 001; Yuzhe Tang (IEEE CLOUD, 2018)

Harnessing the Nature of Spam in Scalable Online Social Spam Detection. - Hailu Xu; Boyuan Guan; Pinchao Liu; William Escudero; Liting Hu (IEEE BigData, 2018)

dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems. - Boyuan Guan; Liting Hu; Pinchao Liu; Hailu Xu; Zhaohui Fu; Qingyang Wang 001 (BigData Congress, 2019)

Exploiting the Spam Correlations in Scalable Online Social Spam Detection. - Hailu Xu; Liting Hu; Pinchao Liu; Boyuan Guan (CLOUD, 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 (ICDIS, 2019)

Machine Learning Guided Optimal Use of GPU Unified Memory. - Hailu Xu; Murali Emani; Pei-Hung Lin; Liting Hu; Chunhua Liao (MCHPC@SC, 2019)

FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications. - Pinchao Liu; Hailu Xu; Dilma Da Silva; Qingyang Wang 001; Sarker Tanzir Ahmed; Liting Hu (IPDPS, 2020)

SR3: Customizable Recovery for Stateful Stream Processing Systems. - Hailu Xu; Pinchao Liu; Susana Cruz-Diaz; Dilma Da Silva; Liting Hu (Middleware, 2020)

COS2: Detecting Large-Scale COVID-19 Misinformation in Social Networks. - Hailu Xu; Macro Curci; Sophanna Ek; Pinchao Liu; Zhengxiong Li; Shuai Xu (CLOUD, 2021)

FPGA acceleration on a multi-layer perceptron neural network for digit recognition. - Isaac Westby; Xiaokun Yang; Tao Liu; Hailu Xu (J. Supercomput., 2021)

Towards an Efficient Client Selection System for Federated Learning. - Guanyu Ding; Zhengxiong Li; Yusen Wu; Xiaokun Yang; Mehrdad Aliasgari; Hailu Xu (CLOUD, 2022)

FLOR: A Federated Learning-based Music Recommendation Engine. - Jasper Sha; Nathaniel Basara; Joseph Freedman; Hailu Xu (ICCCN, 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 (TransAI, 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)

Fast Meta Failure Recovery for Federated Meta-Learning. - Brandon Delliquadri; Chao Wang 117; Shuo Chen; Zhengxiong Li; Hui Luo; Hailu Xu (IEEE Big Data, 2023)

Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations. - Hailu Xu; Pinchao Liu; Boyuan Guan; Qingyang Wang 001; Dilma Da Silva; Liting Hu (IEEE Access, 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)

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., 2023)

StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests. - Cheng-Wei Ching; Boyuan Guan; Hailu Xu; Liting Hu (AIoTC, 2024)

WSSGCN: Wide Sub-stage Graph Convolutional Networks. - Chao Wang 117; Zheng Tang; Hailu Xu (Neurocomputing, 2024)

Towards a Lightweight Platform for Human-Robot Interaction in Federated Edge and IoT Environments. - Simon Zhang; Zhengxiong Li; Xin Qin; Hailu Xu (HumanSys@SenSys, 2025)

Pronunciation Deviation Analysis Through Voice Cloning and Acoustic Comparison. - Andrew Valdivia; Yueming Zhang; Hailu Xu; Amir Ghasemkhani; Xin Qin (CoRR, 2025)