Xin Huang

According to our database, Xin Huang authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

eIM: GPU-Accelerated Efficient Influence Maximization in Large-Scale Social Networks.

Jacob Doney, Xin Huang, Chul-Ho Lee

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

SDT-GNN: Streaming-Based Distributed Training Framework for Graph Neural Networks.

Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee

Proceedings of the IEEE International Conference on Big Data, 2025

2024

I/O-signature-based feature analysis and classification of high-performance computing applications.

Ju-Won Park, Xin Huang, Jae-Kook Lee, Taeyoung Hong

Clust. Comput., June, 2024

Analyzing and predicting job failures from HPC system log.

Ju-Won Park, Xin Huang, Chul-Ho Lee

J. Supercomput., January, 2024

CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks.

Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee

CoRR, 2024

2023

Controlling Epidemic Spread Under Immunization Delay Constraints.

Shiju Li, Xin Huang, Chul-Ho Lee, Do Young Eun

Proceedings of the IFIP Networking Conference, 2023

2022

Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass.

Xin Huang, Jongryool Kim, Bradley Rees, Chul-Ho Lee

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

2021

Estimating Distributions of Large Graphs from Incomplete Sampled Data.

Shiju Li, Xin Huang, Chul-Ho Lee

Proceedings of the IFIP Networking Conference, 2021

An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs.

Shiju Li, Xin Huang, Chul-Ho Lee

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning.

Xin Huang, Jangsoo Lee, Young-Woo Kwon, Chul-Ho Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020