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Ji LIU
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Cited by
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A survey of data-intensive scientific workflow management
J Liu, E Pacitti, P Valduriez, M Mattoso
Journal of Grid Computing 13, 457-493, 2015
3102015
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
592022
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
582016
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
442022
Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments
DCM de Oliveira, J Liu, E Pacitti
252019
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
242018
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
222014
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
162018
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
152021
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
152011
Parallelization of scientific workflows in the cloud
J Liu, E Pacitti, P Valduriez, M Mattoso
Inria Research Report, 2014
142014
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
132017
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
122021
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
122016
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
112017
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
92022
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
92022
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
92020
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
72018
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
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Articles 1–20