Weijian Zheng

Orcid: 0000-0003-2791-0031

According to our database1, Weijian Zheng authored at least 18 papers between 2016 and 2024.

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Bibliography

2024
S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document.
CoRR, 2024

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.
CoRR, 2024

2023
A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems.
ACM Trans. Parallel Comput., June, 2023

Rapid detection of rare events from in situ X-ray diffraction data using machine learning.
CoRR, 2023

Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers.
Comput. Sci. Eng., 2022

2021
Designing a parallel Feel-the-Way clustering algorithm on HPC systems.
Int. J. High Perform. Comput. Appl., 2021

OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems.
CoRR, 2021

Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data.
Proceedings of the ICC 2021, 2021

2020
OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications.
Proceedings of the Tools and Techniques for High Performance Computing, 2019

XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code.
Proceedings of the Computational Science - ICCS 2019, 2019

Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals.
Proceedings of the CAA Symposium on Fault Detection, 2019

2018
Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling.
Parallel Process. Lett., 2018

2017
Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements.
Proceedings of the Machine Learning on HPC Environments, 2017

2016
suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016


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