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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
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
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
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
Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments
DCM de Oliveira, J Liu, E Pacitti
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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