Ji Liu

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 61

Top Venues

CoRR

AAAI

Concurr. Comput. Pract. Exp.

IEEE BigData

University of Montpellier, France (PHD)

Education History

University of Montpellier, France

PHD

Publications

Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning. Knowl. Inf. Syst. 66 (8) (2024)
Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
Efficient asynchronous federated learning with sparsification and quantization. Concurr. Comput. Pract. Exp. 36 (9) (2024)
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM (2024)
Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning. CoRR (2024)
Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. AAAI (2024)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). AAAI (2024)
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
On mask-based image set desensitization with recognition support. Appl. Intell. 54 (1) (2024)
Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li
FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing. ICS (2023)
Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. ICCV (2023)
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35 (26) (2023)
Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update. CoRR (2023)
Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Gener. Comput. Syst. 148 (2023)
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
On Mask-based Image Set Desensitization with Recognition Support. CoRR (2023)
Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong
Multi-Temporal Relationship Inference in Urban Areas. KDD (2023)
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR (2023)
Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
Data Placement for Multi-Tenant Data Federation on the Cloud. IEEE Trans. Cloud Comput. 11 (2) (2023)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. 314 (2023)
Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. AAAI (2023)
Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou
Distributed and deep vertical federated learning with big data. Concurr. Comput. Pract. Exp. 35 (21) (2023)
Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR (2022)
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
Efficient Device Scheduling with Multi-Job Federated Learning. AAAI (2022)
Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML (2022)
Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR (2022)
Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. IJCAI (2022)
Ji Liu, Carlyna Bondiombouy, Lei Mo, Patrick Valduriez
Two-Phase Scheduling for Efficient Vehicle Sharing. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. 64 (4) (2022)
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR (2022)
Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang
Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. IEEE Trans. Artif. Intell. 3 (2) (2022)
Lei Mo, Qi Zhou, Angeliki Kritikakou, Ji Liu
Energy Efficient, Real-time and Reliable Task Deployment on NoC-based Multicores with DVFS. DATE (2022)
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. CoRR (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR (2021)
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow. Mach. Learn. 110 (8) (2021)
Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
Data Placement for Multi-Tenant Data Federation on the Cloud. CoRR (2021)
Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops (2021)
Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS (2021)
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
From Distributed Machine Learning to Federated Learning: A Survey. CoRR (2021)
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR (2021)
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD (2021)
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
Efficient Device Scheduling with Multi-Job Federated Learning. CoRR (2021)
Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China. ICDH (2021)
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow. CoRR (2021)
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. AAAI (2021)
Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. CoRR (2021)
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. CoRR (2020)
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. CoRR (2020)
Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud. IEEE BigData (2020)
Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez
SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. IEEE Data Eng. Bull. 43 (1) (2020)
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. IEEE BigData (2020)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Parallel computation of PDFs on big spatial data using Spark. Distributed Parallel Databases 38 (1) (2020)
Ji Liu, Luis Pineda-Morales, Esther Pacitti, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu, Marta Mattoso
Efficient Scheduling of Scientific Workflows Using Hot Metadata in a Multisite Cloud. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Parallel Computation of PDFs on Big Spatial Data Using Spark. CoRR (2018)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Computation of PDFs on Big Spatial Data: Problem & Architecture. LADaS@VLDB (2018)
Ji Liu, Esther Pacitti, Patrick Valduriez
A survey of scheduling frameworks in big data systems. Int. J. Cloud Comput. 7 (2) (2018)
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
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB (2018)
Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud. Trans. Large Scale Data Knowl. Centered Syst. 33 (2017)
Luis Pineda-Morales, Ji Liu, Alexandru Costan, Esther Pacitti, Gabriel Antoniu, Patrick Valduriez, Marta Mattoso
Managing hot metadata for scientific workflows on multisite clouds. IEEE BigData (2016)
Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso
Multi-objective scheduling of Scientific Workflows in multisite clouds. Future Gener. Comput. Syst. 63 (2016)
Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
Scientific Workflow Scheduling with Provenance Support in Multisite Cloud. VECPAR (2016)
Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
A Survey of Data-Intensive Scientific Workflow Management. J. Grid Comput. 13 (4) (2015)
Ji Liu, Vítor Silva, Esther Pacitti, Patrick Valduriez, Marta Mattoso
Scientific Workflow Partitioning in Multisite Cloud. Euro-Par Workshops (1) (2014)
Zhenzhen Zhao, Ji Liu, Noël Crespi
Dig-event: let's socialize around events. CSCW (Companion) (2012)
Zhenzhen Zhao, Sirsha Bhattarai, Ji Liu, Noël Crespi
Mashup services to daily activities: end-user perspective in designing a consumer mashups. iiWAS (2011)
Zhenzhen Zhao, Ji Liu, Noël Crespi
The design of activity-oriented social networking: Dig-Event. iiWAS (2011)

Ji Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ji Liu