| A survey of data-intensive scientific workflow management J Liu, E Pacitti, P Valduriez, M Mattoso Journal of Grid Computing 13, 457-493, 2015 | 310 | 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 | 59 | 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 | 58 | 2016 |
| 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 | 44 | 2022 |
| Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments DCM de Oliveira, J Liu, E Pacitti | 25 | 2019 |
| 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 | 24 | 2018 |
| Scientific workflow partitioning in multisite cloud J Liu, V Silva, E Pacitti, P Valduriez, M Mattoso Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International …, 2014 | 22 | 2014 |
| A survey of scheduling frameworks in big data systems J Liu, E Pacitti, P Valduriez International Journal of Cloud Computing 7 (2), 103-128, 2018 | 16 | 2018 |
| C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak C Xiao, J Zhou, J Huang, A Zhuo, J Liu, H Xiong, D Dou The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21) 35 (6 …, 2021 | 15 | 2021 |
| Mashup services to daily activities: end-user perspective in designing a consumer mashups Z Zhao, S Bhattarai, J Liu, N Crespi Proceedings of the 13th international conference on information integration …, 2011 | 15 | 2011 |
| Parallelization of scientific workflows in the cloud J Liu, E Pacitti, P Valduriez, M Mattoso Inria Research Report, 2014 | 14 | 2014 |
| Scientific workflow scheduling with provenance data in a multisite cloud J Liu, E Pacitti, P Valduriez, M Mattoso Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXIII, 80-112, 2017 | 13 | 2017 |
| 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 | 12 | 2021 |
| Managing hot metadata for scientific workflows on multisite clouds L Pineda-Morales, J Liu, A Costan, E Pacitti, G Antoniu, P Valduriez, ... 2016 IEEE International Conference on Big Data (Big Data), 390-397, 2016 | 12 | 2016 |
| Scientific workflow scheduling with provenance support in multisite cloud J Liu, E Pacitti, P Valduriez, M Mattoso High Performance Computing for Computational Science–VECPAR 2016: 12th …, 2017 | 11 | 2017 |
| 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 | 9 | 2022 |
| 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 | 9 | 2022 |
| Understanding the Collective Responses of Populations to the COVID-19 Pandemic in Mainland China H Xiong, J Liu, J Huang, S Huang, H An, Q Kang, Y Li, D Dou, H Wang medRxiv, 2020 | 9 | 2020 |
| Scientific data analysis using data-intensive scalable computing: The SciDISC project P Valduriez, M Mattoso, R Akbarinia, H Borges, J Camata, A Coutinho, ... VLDB Workshop, 2018 | 7 | 2018 |
| Improving adversarial robustness via attention and adversarial logit pairing X Li, D Goodman, J Liu, D Dou, T Wei Frontiers in Artificial Intelligence, 2021 | 6* | 2021 |
Dejing DouBCG, Baidu Research, University of Oregon, YaleVerified email at cs.uoregon.edu
