| Investigating code generation performance of ChatGPT with crowdsourcing social data Y Feng, S Vanam, M Cherukupally, W Zheng, M Qiu, H Chen 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | 50 | 2023 |
| Micromobility in smart cities: A closer look at shared dockless e-scooters via big social data Y Feng, D Zhong, P Sun, W Zheng, Q Cao, X Luo, Z Lu ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 19 | 2021 |
| Opengraphgym: a parallel reinforcement learning framework for graph optimization problems W Zheng, D Wang, F Song International conference on computational science, 439-452, 2020 | 14 | 2020 |
| Xscan: an integrated tool for understanding open source community-based scientific code W Zheng, D Wang, F Song International Conference on Computational Science, 226-237, 2019 | 8 | 2019 |
| A resilient network recovery framework against cascading failures with deep graph learning J Zhou, W Zheng, D Wang, DW Coit Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2024 | 5 | 2024 |
| Towards ultra-high-resolution e3sm land modeling on exascale computers D Wang, P Schwartz, F Yuan, P Thornton, W Zheng Computing in Science & Engineering, 2022 | 5 | 2022 |
| Designing a synchronization-reducing clustering method on manycores: Some issues and improvements W Zheng, F Song, L Lin Proceedings of the Machine Learning on HPC Environments, 1-8, 2017 | 4 | 2017 |
| Designing a parallel Feel-the-Way clustering algorithm on HPC systems W Zheng, D Wang, F Song The International Journal of High Performance Computing Applications 35 (2 …, 2021 | 2 | 2021 |
| FQL: An extensible feature query language and toolkit on searching software characteristics for HPC applications W Zheng, D Wang, F Song Annual Workshop on HPC User Support Tools, 129-142, 2019 | 2 | 2019 |
| Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling W Zheng, F Song, L Lin, Z Chen Parallel Processing Letters 28 (01), 1850004, 2018 | 2 | 2018 |
| An application software analytics toolkit for facilitating the understanding, componentization, and refactoring of large-scale scientific models D Wang | 2 | 2018 |
| OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems W Zheng, D Wang, F Song arXiv preprint arXiv:2105.08764, 2021 | 1 | 2021 |
| S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document K Shaik, D Wang, W Zheng, Q Cao, H Fan, P Schwartz, Y Feng arXiv preprint arXiv:2403.10588, 2024 | | 2024 |
| Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments J Pruyne, V Hayot-Sasson, W Zheng, R Chard, JM Wozniak, T Bicer, ... arXiv preprint arXiv:2403.06077, 2024 | | 2024 |
| Rapid detection of rare events from in situ X-ray diffraction data using machine learning W Zheng, JS Park, P Kenesei, A Ali, Z Liu, IT Foster, N Schwarz, ... arXiv preprint arXiv:2312.03989, 2023 | | 2023 |
| Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors C Zhang, B Sun, X Yu, Z Xie, W Zheng, KA Iskra, P Beckman, D Tao Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | | 2023 |
| Tomo2Mesh: Fast porosity mapping and visualization for synchrotron tomography A Tekawade, V Nikitin, Y Satapathy, Z Liu, X Zhang, P Kenesei, W Zheng, ... 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | | 2023 |
| A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems W Zheng, D Wang, F Song ACM Transactions on Parallel Computing 10 (2), 1-23, 2023 | | 2023 |
| Scalable Parallel Machine Learning on High Performance Computing Systems–Clustering and Reinforcement Learning W Zheng Purdue University Graduate School, 2022 | | 2022 |
| Design and Implementation of an Efficient Parallel Feel-the-Way Clustering Algorithm on High Performance Computing Systems W Zheng, F Song, D Wang | | 2018 |
Dali WangORNLVerified email at ornl.gov
