Ji Liu

Orcid: 0000-0003-4710-5697

Affiliations:

Hithink RoyalFlush Information Network Co., Ltd., China
Baidu Inc., Baidu Research, Beijing, China
MSR - Inria Joint Centre, INRIA Sophia-Antipolis Méditerranée, LIRMM, France (2013-2017)
University of Montpellier, France (2013-2017)

According to our database¹, Ji Liu authored at least 67 papers between 2011 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

2024

Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., August, 2024

On mask-based image set desensitization with recognition support.

[BibT_eX]

[DOI]

Appl. Intell., January, 2024

Trustworthy Federated Learning: Privacy, Security, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data.

[BibT_eX]

[DOI]

CoRR, 2024

A Systematic Review on Long-Tailed Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient asynchronous federated learning with sparsification and quantization.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2024

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., November, 2023

Multi-Job Intelligent Scheduling With Cross-Device Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., February, 2023

Data Placement for Multi-Tenant Data Federation on the Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

Distributed and deep vertical federated learning with big data.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2023

Large-scale knowledge distillation with elastic heterogeneous computing resources.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2023

G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.

[BibT_eX]

[DOI]

Artif. Intell., 2023

Multi-Temporal Relationship Inference in Urban Areas.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Supercomputing, 2023

Fast Federated Machine Unlearning with Nonlinear Functional Theory.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Path Planning Based on Traffic Flow Prediction for Vehicle Scheduling.

[BibT_eX]

[DOI]

Yiming Zhao

Lei Mo

Ji Liu

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Two-Phase Scheduling for Efficient Vehicle Sharing.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2022

From distributed machine learning to federated learning: a survey.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2022

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2022

FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the 51st International Conference on Parallel Processing, 2022

Accelerated Federated Learning with Decoupled Adaptive Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Federated Fingerprint Learning with Heterogeneous Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Energy Efficient, Real-time and Reliable Task Deployment on NoC-based Multicores with DVFS.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Efficient Device Scheduling with Multi-Job Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2021

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments.

[BibT_eX]

[DOI]

CoRR, 2021

Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2021

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Evaluation and Optimization of learning-based DNS over HTTPS Traffic Classification.

[BibT_eX]

[DOI]

Yue Li

Abdulhalim Dandoush

Ji Liu

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Digital Health, 2021

Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Parallel computation of PDFs on big spatial data using Spark.

[BibT_eX]

[DOI]

Distributed Parallel Databases, 2020

SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2020

An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments

[BibT_eX]

[DOI]

Daniel C. M. de Oliveira

Ji Liu

Esther Pacitti

Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01872-5, 2019

Efficient Scheduling of Scientific Workflows Using Hot Metadata in a Multisite Cloud.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

2018

A survey of scheduling frameworks in big data systems.

[BibT_eX]

[DOI]

Ji Liu

Esther Pacitti

Patrick Valduriez

Int. J. Cloud Comput., 2018

Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.

[BibT_eX]

[DOI]

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Computation of PDFs on Big Spatial Data: Problem & Architecture.

[BibT_eX]

[DOI]

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

2017

Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2017

2016

Multisite Management of Scientific Workflows in the Cloud. (Gestion multisite de workflows scientifiques dans le cloud).

[BibT_eX]

[DOI]

Ji Liu

PhD thesis, 2016

Multi-objective scheduling of Scientific Workflows in multisite clouds.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2016

Scientific Workflow Scheduling with Provenance Support in Multisite Cloud.

[BibT_eX]

[DOI]

Proceedings of the High Performance Computing for Computational Science - VECPAR 2016, 2016

Managing hot metadata for scientific workflows on multisite clouds.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

A Survey of Data-Intensive Scientific Workflow Management.

[BibT_eX]

[DOI]

J. Grid Comput., 2015

2014

Scientific Workflow Partitioning in Multisite Cloud.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2012

Dig-event: let's socialize around events.

[BibT_eX]

[DOI]

Zhenzhen Zhao

Ji Liu

Noël Crespi

Proceedings of the CSCW '12 Computer Supported Cooperative Work, Seattle, WA, USA, February 11-15, 2012, 2012

2011

The design of activity-oriented social networking: Dig-Event.

[BibT_eX]

[DOI]

Zhenzhen Zhao

Ji Liu

Noël Crespi

Proceedings of the iiWAS'2011, 2011

Mashup services to daily activities: end-user perspective in designing a consumer mashups.

[BibT_eX]

[DOI]

Proceedings of the iiWAS'2011, 2011

Ji Liu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...