Ji Liu

According to our database, Ji Liu authored at least 62 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On mask-based image set desensitization with recognition support.

Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou

Appl. Intell., January, 2024

Efficient asynchronous federated learning with sparsification and quantization.

Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou

Concurr. Comput. Pract. Exp., 2024

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

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou

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).

Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

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

2023

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

Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou

Future Gener. Comput. Syst., November, 2023

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

Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

IEEE Trans. Parallel Distributed Syst., February, 2023

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

Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou

IEEE Trans. Cloud Comput., 2023

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.

Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez

CoRR, 2023

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

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou

CoRR, 2023

Distributed and deep vertical federated learning with big data.

Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou

Concurr. Comput. Pract. Exp., 2023

Large-scale knowledge distillation with elastic heterogeneous computing resources.

Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu

Concurr. Comput. Pract. Exp., 2023

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

Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

Artif. Intell., 2023

Multi-Temporal Relationship Inference in Urban Areas.

Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong

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.

Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li

Proceedings of the 37th International Conference on Supercomputing, 2023

Fast Federated Machine Unlearning with Nonlinear Functional Theory.

Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan

Proceedings of the International Conference on Machine Learning, 2023

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

Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou

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

Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction.

Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang

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

Path Planning Based on Traffic Flow Prediction for Vehicle Scheduling.

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.

Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou

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.

Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang

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

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising.

Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou

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

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

Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu

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

2022

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

Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou

ACM Trans. Knowl. Discov. Data, 2022

Two-Phase Scheduling for Efficient Vehicle Sharing.

Ji Liu, Carlyna Bondiombouy, Lei Mo, Patrick Valduriez

IEEE Trans. Intell. Transp. Syst., 2022

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

Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang

IEEE Trans. Artif. Intell., 2022

From distributed machine learning to federated learning: a survey.

Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou

Knowl. Inf. Syst., 2022

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

Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou

Knowl. Inf. Syst., 2022

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

Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou

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

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

Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou

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

Accelerated Federated Learning with Decoupled Adaptive Optimization.

Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou

Proceedings of the International Conference on Machine Learning, 2022

Federated Fingerprint Learning with Heterogeneous Architectures.

Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou

Proceedings of the IEEE International Conference on Data Mining, 2022

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

Lei Mo, Qi Zhou, Angeliki Kritikakou, Ji Liu

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

Efficient Device Scheduling with Multi-Job Federated Learning.

Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

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.

Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou

Mach. Learn., 2021

Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.

Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou

Frontiers Artif. Intell., 2021

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

Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou

CoRR, 2021

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

Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou

CoRR, 2021

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.

Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou

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.

Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong

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.

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.

Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou

Proceedings of the IEEE International Conference on Digital Health, 2021

Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources.

Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou

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.

Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou

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

2020

Parallel computation of PDFs on big spatial data using Spark.

Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez

Distributed Parallel Databases, 2020

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

Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez

IEEE Data Eng. Bull., 2020

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

Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang

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.

Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou

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

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.

Ji Liu, Luis Pineda-Morales, Esther Pacitti, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu, Marta Mattoso

IEEE Trans. Knowl. Data Eng., 2019

2018

A survey of scheduling frameworks in big data systems.

Ji Liu, Esther Pacitti, Patrick Valduriez

Int. J. Cloud Comput., 2018

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

Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha

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.

Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez

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.

Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso

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).

Ji Liu

PhD thesis, 2016

Multi-objective scheduling of Scientific Workflows in multisite clouds.

Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso

Future Gener. Comput. Syst., 2016

Scientific Workflow Scheduling with Provenance Support in Multisite Cloud.

Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso

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

Managing hot metadata for scientific workflows on multisite clouds.

Luis Pineda-Morales, Ji Liu, Alexandru Costan, Esther Pacitti, Gabriel Antoniu, Patrick Valduriez, Marta Mattoso

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

2015

A Survey of Data-Intensive Scientific Workflow Management.

Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso

J. Grid Comput., 2015

2014

Scientific Workflow Partitioning in Multisite Cloud.

Ji Liu, Vítor Silva, Esther Pacitti, Patrick Valduriez, Marta Mattoso

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

2012

Dig-event: let's socialize around events.

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.

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.

Zhenzhen Zhao, Sirsha Bhattarai, Ji Liu, Noël Crespi

Proceedings of the iiWAS'2011, 2011