Tonglin Li

According to our database1, Tonglin Li authored at least 43 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Application of Supervised Descent Method for 3-D Gravity Data Focusing Inversion.
IEEE Trans. Geosci. Remote. Sens., 2023

3-D Joint Inversion of DC Resistivity and Time-Domain Induced Polarization With Structural Constraints in Undulating Topography.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Upper Mantle beneath the Myanmar and Surrounding Tomography: New Insight into Plate Subduction and Volcanism.
Remote. Sens., December, 2022

Research on Magnetotelluric Long-Duration Noise Reduction Based on Adaptive Sparse Representation.
IEEE Trans. Geosci. Remote. Sens., 2022

Fast Independent Component Analysis Denoising for Magnetotelluric Data Based on a Correlation Coefficient and Fast Iterative Shrinkage Threshold Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2022

Joint Inversion of Multiphysical Parameters Based on a Combination of Cosine Dot-Gradient and Joint Total Variation Constraints.
IEEE Trans. Geosci. Remote. Sens., 2022

2-D Magnetotelluric Multiparameter Joint Inversion Considering the Induced Polarization Effect.
IEEE Trans. Geosci. Remote. Sens., 2022

Joint Inversion of 3D Gravity and Magnetic Data under Undulating Terrain Based on Combined Hexahedral Grid.
Remote. Sens., 2022

3-D Joint Inversion of Gravity and Magnetic Data Using Data-Space and Truncated Gauss-Newton Methods.
IEEE Geosci. Remote. Sens. Lett., 2022

Noisy2Noisy: Denoise Pre-Stack Seismic Data Without Paired Training Data With Labels.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
De-Noising of Magnetotelluric Signals by Discrete Wavelet Transform and SVD Decomposition.
Remote. Sens., 2021

Insights from the P Wave Travel Time Tomography in the Upper Mantle Beneath the Central Philippines.
Remote. Sens., 2021

Battle of the Defaults: Extracting Performance Characteristics of HDF5 under Production Load.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Imaging of the Upper Mantle Beneath Southeast Asia: Constrained by Teleseismic P-Wave Tomography.
Remote. Sens., 2020

Distributed Cross-Blockchain Transactions.
CoRR, 2020

Foreword to the special issue of the workshop on data-intensive computing in the clouds.
Concurr. Comput. Pract. Exp., 2020

Reflector: a fine-grained I/O tracker for HPC systems.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

2019
A novel parallel and distributed magnetotelluric inversion algorithm on multi-threads workloads cluster.
Clust. Comput., 2019

Enabling Transparent Asynchronous I/O using Background Threads.
Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

2018
Introduction to the special section on network measurement for software-defined and information-centric networking.
Comput. Electr. Eng., 2018

Toward Performant and Energy-efficient Queries in Three-tier Wireless Sensor Networks.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Toward Scalable Analysis of Multidimensional Scientific Data: A Case Study of Electrode Arrays.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Understanding the Performance and Potential of Cloud Computing for Scientific Applications.
IEEE Trans. Cloud Comput., 2017

Toward Efficient and Flexible Metadata Indexing of Big Data Systems.
IEEE Trans. Big Data, 2017

UNITY: Unified Memory and File Space.
Proceedings of the 7th International Workshop on Runtime and Operating Systems for Supercomputers, 2017

2016
Toward high-performance key-value stores through GPU encoding and locality-aware encoding.
J. Parallel Distributed Comput., 2016

Exploiting multi-cores for efficient interchange of large messages in distributed systems.
Concurr. Comput. Pract. Exp., 2016

Load-balanced and locality-aware scheduling for data-intensive workloads at extreme scales.
Concurr. Comput. Pract. Exp., 2016

A convergence of key-value storage systems from clouds to supercomputers.
Concurr. Comput. Pract. Exp., 2016

Albatross: An efficient cloud-enabled task scheduling and execution framework using distributed message queues.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

Coarse-Grained 2.5-D CSAMT Parallel Inversion Method Based on Multi-core CPU.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

2015
A Dynamically Scalable Cloud Data Infrastructure for Sensor Networks.
Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015

Overcoming Hadoop Scaling Limitations through Distributed Task Execution.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

MHT: A light-weight scalable zero-hop MPI enabled distributed key-value store.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

A flexible QoS fortified distributed key-value storage system for the cloud.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

FaBRiQ: Leveraging Distributed Hash Tables towards Distributed Publish-Subscribe Message Queues.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2014
FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Optimizing load balancing and data-locality with data-aware scheduling.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Scalable State Management for Scientific Applications in the Cloud.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

2011
Exploring distributed hash tables in HighEnd computing.
SIGMETRICS Perform. Evaluation Rev., 2011


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