Weijian Zheng

36 papers A 1B 5Journal 19Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs.
CoRR
Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu
2026 J jnl
SDiT: Semantic Region-Adaptive for Diffusion Transformers.
CoRR
Bowen Lin, Fanjiang Ye, Yihua Liu, Zhenghui Guo, Boyuan Zhang, Weijian Zheng, Yufan Xu, Tiancheng Xing, Yuke Wang, Chengming Zhang
2025 — conf
DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs.
IISWC
Ziyu Hu, Zhiqing Zhong, Weijian Zheng, Zhijing Ye, Xuwei Tan, Xueru Zhang, Zheng Xie, Rajkumar Kettimuthu, Xiaodong Yu
2025 B conf
FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations.
IEEE Big Data
Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, Xiaodong Yu
2025 J jnl
Globus Service Enhancements for Exascale Applications and Facilities.
CoRR
Weijian Zheng, Jack Kordas, Tyler J. Skluzacek, Raj Kettimuthu, Ian T. Foster
2025 — conf
InferCT: An Efficient and Generalizable Framework to Enable 3D Machine Learning for Computed Tomography.
SC Workshops
Austin Yunker, Weijian Zheng, Rajkumar Kettimuthu
2025 J jnl
Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models.
CoRR
Hanzhi Zhang, Sumera Anjum, Heng Fan, Weijian Zheng, Yan Huang, Yunhe Feng
2025 — conf
To Stream or Not to Stream: Towards A Quantitative Model for Remote HPC Processing Decisions.
SC Workshops
Flavio Castro, Weijian Zheng, Joaquin Chung, Ian T. Foster, Raj Kettimuthu
2025 J jnl
To Stream or Not to Stream: Towards A Quantitative Model for Remote HPC Processing Decisions.
CoRR
Flavio Castro, Weijian Zheng, Joaquin Chung, Ian T. Foster, Rajkumar Kettimuthu
2024 A conf
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2.
HPDC
Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello
2024 J jnl
GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors.
CoRR
Chengming Zhang, Xinheng Ding, Baixi Sun, Xiaodong Yu, Weijian Zheng, Zhen Xie, Dingwen Tao
2024 J jnl
Globus service enhancements for exascale applications and facilities.
Int. J. High Perform. Comput. Appl.
Weijian Zheng, Jack Kordas, Tyler J. Skluzacek, Raj Kettimuthu, Ian T. Foster
2024 B conf
Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning.
IEEE Big Data
Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu
2024 — conf
S3LLM: Large-Scale Scientific Software Understanding with LLMs Using Source, Metadata, and Document.
ICCS (3)
Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng
2024 J jnl
S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document.
CoRR
Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng
2024 J jnl
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.
CoRR
Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster
2024 J jnl
WorkloadDiff: Conditional Denoising Diffusion Probabilistic Models for Cloud Workload Prediction.
IEEE Trans. Cloud Comput.
Weiping Zheng, Zongxiao Chen, Kaiyuan Zheng, Weijian Zheng, Yiqi Chen, Xiaomao Fan
2023 J jnl
A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems.
ACM Trans. Parallel Comput.
Weijian Zheng, Dali Wang, Fengguang Song
2023 — conf
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
SC Workshops
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao
2023 J jnl
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
CoRR
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao
2023 B conf
Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data.
COMPSAC
Yunhe Feng, Sreecharan Vanam, Manasa Cherukupally, Weijian Zheng, Meikang Qiu, Haihua Chen
2023 J jnl
Rapid detection of rare events from in situ X-ray diffraction data using machine learning.
CoRR
Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma
2023 B conf
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography.
e-Science
Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu
2022 J jnl
Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers.
Comput. Sci. Eng.
Dali Wang, Peter Schwartz, Fengming Yuan, Peter E. Thornton, Weijian Zheng
2021 J jnl
Designing a parallel Feel-the-Way clustering algorithm on HPC systems.
Int. J. High Perform. Comput. Appl.
Weijian Zheng, Dali Wang, Fengguang Song
2021 — conf
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data.
ICC
Yunhe Feng, Dong Zhong, Peng Sun, Weijian Zheng, Qinglei Cao, Xi Luo, Zheng Lu
2021 J jnl
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems.
CoRR
Weijian Zheng, Dali Wang, Fengguang Song
2020 J jnl
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data.
CoRR
Yunhe Feng, Dong Zhong, Peng Sun, Weijian Zheng, Qinglei Cao, Xi Luo, Zheng Lu
2020 — conf
OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems.
ICCS (5)
Weijian Zheng, Dali Wang, Fengguang Song
2019 — conf
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications.
HUST/SE-HER/WIHPC@SC
Weijian Zheng, Dali Wang, Fengguang Song
2019 J jnl
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications.
CoRR
Weijian Zheng, Dali Wang, Fengguang Song
2019 — conf
Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals.
CAA SAFEPROCESS
Feng Tian, Chunhui Zhao, Haidong Fan, Weijian Zheng, Youxian Sun
2019 — conf
XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code.
ICCS (1)
Weijian Zheng, Dali Wang, Fengguang Song
2018 J jnl
Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling.
Parallel Process. Lett.
Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen
2017 — conf
Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements.
MLHPC@SC
Weijian Zheng, Fengguang Song, Lan Lin
2016 B conf
suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework.
ICPADS
Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen