suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework. - Weijian Zheng; Fengguang Song; Lan Lin; Zizhong Chen (ICPADS, 2016)

Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements. - Weijian Zheng; Fengguang Song; Lan Lin (MLHPC@SC, 2017)

Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling. - Weijian Zheng; Fengguang Song; Lan Lin; Zizhong Chen (Parallel Process. Lett., 2018)

Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals. - Feng Tian; Chunhui Zhao 001; Haidong Fan; Weijian Zheng; Youxian Sun (CAA SAFEPROCESS, 2019)

XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. - Weijian Zheng; Dali Wang; Fengguang Song (ICCS (1), 2019)

FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. - Weijian Zheng; Dali Wang; Fengguang Song (HUST/SE-HER/WIHPC@SC, 2019)

OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems. - Weijian Zheng; Dali Wang; Fengguang Song (ICCS (5), 2020)

Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data. - Yunhe Feng; Dong Zhong; Peng Sun 003; Weijian Zheng; Qinglei Cao; Xi Luo; Zheng Lu 005 (ICC, 2021)

OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems. - Weijian Zheng; Dali Wang; Fengguang Song (CoRR, 2021)

Designing a parallel Feel-the-Way clustering algorithm on HPC systems. - Weijian Zheng; Dali Wang; Fengguang Song (Int. J. High Perform. Comput. Appl., 2021)

Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers. - Dali Wang; Peter Schwartz; Fengming Yuan; Peter E. Thornton; Weijian Zheng (Comput. Sci. Eng., 2022)

Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data. - Yunhe Feng; Sreecharan Vanam; Manasa Cherukupally; Weijian Zheng; Meikang Qiu; Haihua Chen 002 (COMPSAC, 2023)

Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. - Aniket Tekawade; Viktor V. Nikitin; Yashas Satapathy; Zhengchun Liu; Xuan Zhang; Peter Kenesei; Weijian Zheng; Francesco De Carlo; Ian T. Foster; Rajkumar Kettimuthu (e-Science, 2023)

Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. - Chengming Zhang 006; Baixi Sun; Xiaodong Yu 001; Zhen Xie; Weijian Zheng; Kamil A. Iskra; Pete Beckman; Dingwen Tao (SC Workshops, 2023)

Rapid detection of rare events from in situ X-ray diffraction data using machine learning. - Weijian Zheng; Jun-Sang Park; Peter Kenesei; Ahsan Ali; Zhengchun Liu; Ian T. Foster; Nicholas Schwarz; Rajkumar Kettimuthu; Antonino Miceli; Hemant Sharma (CoRR, 2023)

A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems. - Weijian Zheng; Dali Wang; Fengguang Song (ACM Trans. Parallel Comput., 2023)

Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning. - Weijian Zheng; Hemant Sharma; Ryan Chard; Peter Kenesei; Jun-Sang Park; Nicholas Schwarz; Antonino Miceli; Ian T. Foster; Rajkumar Kettimuthu (IEEE Big Data, 2024)

CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. - Shihui Song; Yafan Huang; Peng Jiang 004; Xiaodong Yu 001; Weijian Zheng; Sheng Di; Qinglei Cao; Yunhe Feng; Zhen Xie; Franck Cappello (HPDC, 2024)

S3LLM: Large-Scale Scientific Software Understanding with LLMs Using Source, Metadata, and Document. - Kareem Shaik; Dali Wang; Weijian Zheng; Qinglei Cao; Heng Fan 001; Peter Schwartz; Yunhe Feng (ICCS (3), 2024)

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. - Jim Pruyne; Valérie Hayot-Sasson; Weijian Zheng; Ryan Chard; Justin M. Wozniak; Tekin Bicer; Kyle Chard; Ian T. Foster (CoRR, 2024)

GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors. - Chengming Zhang 006; Xinheng Ding; Baixi Sun; Xiaodong Yu 001; Weijian Zheng; Zhen Xie; Dingwen Tao (CoRR, 2024)

Globus service enhancements for exascale applications and facilities. - Weijian Zheng; Jack Kordas; Tyler J. Skluzacek; Raj Kettimuthu; Ian T. Foster (Int. J. High Perform. Comput. Appl., 2024)

WorkloadDiff: Conditional Denoising Diffusion Probabilistic Models for Cloud Workload Prediction. - Weiping Zheng; Zongxiao Chen; Kaiyuan Zheng; Weijian Zheng; Yiqi Chen; Xiaomao Fan (IEEE Trans. Cloud Comput., 2024)

Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models. - Hanzhi Zhang; Sumera Anjum; Heng Fan; Weijian Zheng; Yan Huang; Yunhe Feng (CoRR, 2025)