Hongliang Li

Orcid: 0000-0003-4377-0550

Affiliations:
  • Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, China


According to our database1, Hongliang Li authored at least 23 papers between 2009 and 2024.

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Bibliography

2024
HiRM: Hierarchical resource management for earth system models on many-core clusters.
CCF Trans. High Perform. Comput., October, 2024

DGFormer: a physics-guided station level weather forecasting model with dynamic spatial-temporal graph neural network.
GeoInformatica, July, 2024

Interference-aware opportunistic job placement for shared distributed deep learning clusters.
J. Parallel Distributed Comput., January, 2024

Visage: Visual-Aware Generation of Adversarial Examples in Black-Box for Text Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

2023
ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021
Coordinated process scheduling algorithms for coupled earth system models.
Concurr. Comput. Pract. Exp., 2021

2020
Reliable stream data processing for elastic distributed stream processing systems.
Clust. Comput., 2020

Reducing Fault-tolerant Overhead for Distributed Stream Processing with Approximate Backup.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

CPSA: A Coordinated Process Scheduling Algorithm for Coupled Earth System Model.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Job Placement Strategy with Opportunistic Resource Sharing for Distributed Deep Learning Clusters.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
Pec: Proactive Elastic Collaborative Resource Scheduling in Data Stream Processing.
IEEE Trans. Parallel Distributed Syst., 2019

Reducing the synchronizing communication overhead for distributed graph-parallel computing.
Intell. Data Anal., 2019

An optimal checkpointing model with online OCI adjustment for stream processing applications.
Concurr. Comput. Pract. Exp., 2019

2018
A Task Allocation Method for Stream Processing with Recovery Latency Constraint.
J. Comput. Sci. Technol., 2018

Topology-Aware Task Allocation for Distributed Stream Processing with Latency Guarantee.
Proceedings of the 2nd International Conference on Advances in Image Processing, 2018

2017
Minimum Backups for Stream Processing With Recovery Latency Guarantees.
IEEE Trans. Reliab., 2017

Integrated recovery and task allocation for stream processing.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

Task Allocation for Stream Processing with Recovery Latency Guarantee.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2015
THC-MP: High performance numerical simulation of reactive transport and multiphase flow in porous media.
Comput. Geosci., 2015

2014
Topology-Aware Partial Virtual Cluster Mapping Algorithm on Shared Distributed Infrastructures.
IEEE Trans. Parallel Distributed Syst., 2014

MapReduce delay scheduling with deadline constraint.
Concurr. Comput. Pract. Exp., 2014

2009
MPICH-G-DM: An Enhanced MPICH-G with Supporting Dynamic Job Migration.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009


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