| A survey of data-intensive scientific workflow management J Liu, E Pacitti, P Valduriez, M Mattoso Journal of Grid Computing 13, 457-493, 2015 | 386 | 2015 |
| Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou Knowledge and Information Systems 64 (12), 3197-3234, 2022 | 356 | 2022 |
| From distributed machine learning to federated learning: A survey J Liu, J Huang, Y Zhou, X Li, S Ji, H Xiong, D Dou Knowledge and Information Systems 64, 885–917, 2022 | 264 | 2022 |
| Multi-objective scheduling of scientific workflows in multisite clouds J Liu, E Pacitti, P Valduriez, D De Oliveira, M Mattoso Future Generation Computer Systems 63, 76-95, 2016 | 67 | 2016 |
| Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising M Li, J Liu, Y Fu, Y Zhang, D Dou IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 1-10, 2023 | 60 | 2023 |
| Accelerated Federated Learning with Decoupled Adaptive Optimization J Jin, J Ren, Y Zhou, L Lyu, J Liu, D Dou International Conference on Machine Learning (ICML), 1-25, 2022 | 50 | 2022 |
| FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server H Zhang, J Liu, J Jia, Y Zhou, H Dai, D Dou IJCAI, 1-7, 2022 | 48 | 2022 |
| Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization T Che, J Liu, Y Zhou, J Ren, J Zhou, VS Sheng, H Dai, D Dou Empirical Methods in Natural Language Processing, 1-18, 2023 | 46 | 2023 |
| Fast Federated Machine Unlearning with Nonlinear Functional Theory T Che, Y Zhou, Z Zhang, L Lyu, J Liu, D Yan, D Dou, J Huan International Conference on Machine Learning (ICML), 1-28, 2023 | 44 | 2023 |
| Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments DCM de Oliveira, J Liu, E Pacitti | 43 | 2019 |
| LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising Z Wang, Y Fu, J Liu, Y Zhang IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 1-10, 2023 | 40 | 2023 |
| Efficient Device Scheduling with Multi-Job Federated Learning C Zhou, J Liu, J Jia, J Zhou, Y Zhou, H Dai, D Dou The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22), 1-9, 2022 | 40 | 2022 |
| HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments J Liu, Z Wu, D Yu, Y Ma, D Feng, M Zhang, X Wu, X Yao, D Dou Future Generation Computer Systems, 1-14, 2023 | 39 | 2023 |
| FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity G Li, Y Hu, M Zhang, J Liu, Q Yin, Y Peng, D Dou ICPP, 1-10, 2022 | 38 | 2022 |
| Character-level Street View Text Spotting Based on Deep Multi-Segmentation Network for Smarter Autonomous Driving C Zhang, Y Tao, K Du, W Ding, B Wang, J Liu, W Wang IEEE Transactions on Artificial Intelligence, 2022 | 38 | 2022 |
| Efficient scheduling of scientific workflows using hot metadata in a multisite cloud J Liu, L Pineda, E Pacitti, A Costan, P Valduriez, G Antoniu, M Mattoso IEEE Transactions on Knowledge and Data Engineering 31 (10), 1940-1953, 2018 | 36 | 2018 |
| Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction M Li, Y Fu, J Liu, Y Zhang International Conference on Computer Vision (ICCV), 1-10, 2023 | 35 | 2023 |
| G-LIME: Statistical learning for local interpretations of deep neural networks using global priors X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou Artificial Intelligence 314, 103823, 2023 | 35 | 2023 |
| Validating the lottery ticket hypothesis with inertial manifold theory Z Zhang, J Jin, Z Zhang, Y Zhou, X Zhao, J Ren, J Liu, L Wu, R Jin, D Dou Advances in neural information processing systems 34, 30196-30210, 2021 | 35 | 2021 |
| MugRep: A multi-task hierarchical graph representation learning framework for real estate appraisal W Zhang, H Liu, L Zha, H Zhu, J Liu, D Dou, H Xiong Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 30 | 2021 |
Dejing Dou (窦德景）Distinguished Professor, Fudan University/Chief Scientist, BEDI CloudVerified email at cs.uoregon.edu
