| Performance prediction of big data transfer through experimental analysis and machine learning D Yun, W Liu, CQ Wu, NSV Rao, R Kettimuthu 2020 IFIP Networking Conference (Networking), 181-189, 2020 | 8 | 2020 |
| Performance modeling and prediction of big data workflows: An exploratory analysis W Liu, CQ Wu, Q Ye, A Hou, W Shen 2020 29th International Conference on Computer Communications and Networks …, 2020 | 5 | 2020 |
| Exploratory analysis and performance prediction of big data transfer in High-performance Networks D Yun, W Liu, CQ Wu, NSV Rao, R Kettimuthu Engineering Applications of Artificial Intelligence 102, 104285, 2021 | 4 | 2021 |
| On a two-stage progressive clustering algorithm with graph-augmented density peak clustering X Niu, Y Zheng, W Liu, CQ Wu Engineering Applications of Artificial Intelligence 108, 104566, 2022 | 3 | 2022 |
| GLEE: GPR-based Latent Effect Elimination for Performance Prediction of Big Data Transfer W Liu, D Yun, C Wu GLOBECOM 2022-2022 IEEE Global Communications Conference, 4595-4600, 2022 | 2 | 2022 |
| On performance prediction of big data transfer in high-performance networks W Liu, D Yun, CQ Wu, NSV Rao, A Hou, W Shen ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 2 | 2020 |
| Two-level clustering-based target detection through sensor deployment and data fusion CQ Wu, W Liu, S Sen, NSV Rao, RR Brooks, G Cordone 2018 21st International Conference on Information Fusion (FUSION), 2376-2383, 2018 | 2 | 2018 |
| Nostop: A novel configuration optimization scheme for Spark Streaming Q Ye, W Liu, CQ Wu Proceedings of the 50th International Conference on Parallel Processing, 1-10, 2021 | 1 | 2021 |
| On Machine Learning-based Stage-aware Performance Prediction of Spark Applications G Ye, W Liu, CQ Wu, W Shen, X Lyu 2020 IEEE 39th International Performance Computing and Communications …, 2020 | 1 | 2020 |
| A parallel implementation of support vector machines with nonlinear dimensionality reduction S Yao, D Wei, W Liu Technical report, NJIT, 2019 | 1 | 2019 |
| GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery D Manu, J Yao, W Liu, X Sun IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 | | 2024 |
| Characterization and Prediction of QUIC's Performance Under Different Network Conditions L Siag, G Einziger, W Liu, C Wu ICC 2023-IEEE International Conference on Communications, 3824-3829, 2023 | | 2023 |
| Machine Learning-assisted Computational Steering of Large-scale Scientific Simulations W Liu, Q Ye, CQ Wu, Y Liu, X Zhou, Y Shan 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | | 2021 |
| On Resource-Efficiency and Performance Optimization in Big Data Computing and Networking Using Machine Learning W Liu New Jersey Institute of Technology, 2021 | | 2021 |
| Profiling-Based Big Data Workflow Optimization in a Cross-layer Coupled Design Framework Q Ye, CQ Wu, W Liu, A Hou, W Shen Algorithms and Architectures for Parallel Processing: 20th International …, 2020 | | 2020 |
| Scalable Self-taught Deep-Embedded Learning Framework for Drug Abuse Spatial Behaviors Detection W Liu, X Ye, H Phan, H Hu Computational Data and Social Networks: 8th International Conference, CSoNet …, 2019 | | 2019 |
Chase Qishi WuProfessor of Computer Science, New Jersey Institute of TechnologyEmail confirmado em njit.edu
