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2020 – today
- 2024
[c12]Shihui Song
, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello:
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. HPDC 2024: 309-321- [c11]Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng:
S3LLM: Large-Scale Scientific Software Understanding with LLMs Using Source, Metadata, and Document. ICCS (3) 2024: 222-230 - [i7]Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster:
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR abs/2403.06077 (2024) - [i6]Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng:
S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document. CoRR abs/2403.10588 (2024) - 2023
- [j4]Weijian Zheng, Dali Wang, Fengguang Song:
A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems. ACM Trans. Parallel Comput. 10(2): 6:1-6:23 (2023) - [c10]Yunhe Feng, Sreecharan Vanam, Manasa Cherukupally, Weijian Zheng, Meikang Qiu, Haihua Chen:
Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data. COMPSAC 2023: 876-885 - [c9]Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu:
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. e-Science 2023: 1-10 - [c8]Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao:
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. SC Workshops 2023: 1757-1766 - [i5]Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao:
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. CoRR abs/2309.16976 (2023) - [i4]Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma:
Rapid detection of rare events from in situ X-ray diffraction data using machine learning. CoRR abs/2312.03989 (2023) - 2022
- [j3]Dali Wang, Peter Schwartz, Fengming Yuan, Peter E. Thornton, Weijian Zheng:
Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers. Comput. Sci. Eng. 24(6): 44-53 (2022) - 2021
- [j2]Weijian Zheng, Dali Wang, Fengguang Song:
Designing a parallel Feel-the-Way clustering algorithm on HPC systems. Int. J. High Perform. Comput. Appl. 35(2) (2021) - [c7]Yunhe Feng, Dong Zhong, Peng Sun, Weijian Zheng, Qinglei Cao, Xi Luo, Zheng Lu:
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. ICC 2021: 1-6 - [i3]Weijian Zheng, Dali Wang, Fengguang Song:
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems. CoRR abs/2105.08764 (2021) - 2020
- [c6]Weijian Zheng, Dali Wang, Fengguang Song:
OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems. ICCS (5) 2020: 439-452 - [i2]Yunhe Feng, Dong Zhong, Peng Sun, Weijian Zheng, Qinglei Cao, Xi Luo, Zheng Lu:
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. CoRR abs/2010.15203 (2020)
2010 – 2019
- 2019
- [c5]Feng Tian, Chunhui Zhao, Haidong Fan, Weijian Zheng, Youxian Sun:
Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals. CAA SAFEPROCESS 2019: 29-34 - [c4]Weijian Zheng, Dali Wang, Fengguang Song:
XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. ICCS (1) 2019: 226-237 - [c3]Weijian Zheng, Dali Wang, Fengguang Song:
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. HUST/SE-HER/WIHPC@SC 2019: 129-142 - [i1]Weijian Zheng, Dali Wang, Fengguang Song:
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. CoRR abs/1905.09364 (2019) - 2018
- [j1]Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen:
Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling. Parallel Process. Lett. 28(1): 1850004:1-1850004:17 (2018) - 2017
- [c2]Weijian Zheng, Fengguang Song, Lan Lin:
Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements. MLHPC@SC 2017: 9:1-9:8 - 2016
- [c1]Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen:
suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework. ICPADS 2016: 1092-1099
Coauthor Index
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