Ji Wang

Orcid: 0000-0002-4199-2793

Affiliations:
  • National University of Defense Technology, College of Information Systems and Management, Changsha, China


According to our database1, Ji Wang authored at least 45 papers between 2013 and 2023.

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Bibliography

2023
Towards efficient long-horizon decision-making using automated structure search method of hierarchical reinforcement learning for edge artificial intelligence.
Internet Things, December, 2023

UNION: Fault-tolerant Cooperative Computing in Opportunistic Mobile Edge Cloud.
ACM Trans. Internet Techn., November, 2023

Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng., August, 2023

Fairness-aware data offloading of IoT applications enabled by heterogeneous UAVs.
Internet Things, July, 2023

Dyna-PPO reinforcement learning with Gaussian process for the continuous action decision-making in autonomous driving.
Appl. Intell., July, 2023

PRETTY: A parallel transgenerational learning-assisted evolutionary algorithm for computationally expensive multi-objective optimization.
Inf. Sci., April, 2023

Data Offloading Enabled by Heterogeneous UAVs for IoT Applications Under Uncertain Environments.
IEEE Internet Things J., March, 2023

YISHAN: Managing Large-scale Cloud Database Instances via Machine Learning.
IEEE Trans. Serv. Comput., 2023

Personalized Federated Relation Classification over Heterogeneous Texts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
DANCE: Distributed Generative Adversarial Networks with Communication Compression.
ACM Trans. Internet Techn., 2022

FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device.
ACM Trans. Intell. Syst. Technol., 2022

Torch: Strategy evolution in swarm robots using heterogeneous-homogeneous coevolution method.
J. Ind. Inf. Integr., 2022

Qauxi: Cooperative multi-agent reinforcement learning with knowledge transferred from auxiliary task.
Neurocomputing, 2022

2021
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning.
IEEE Trans. Mob. Comput., 2021

Knowledge graph embedding by relational and entity rotation.
Knowl. Based Syst., 2021

Distributed Learning on Mobile Devices: A New Approach to Data Mining in the Internet of Things.
IEEE Internet Things J., 2021

EASE: Energy-efficient task scheduling for edge computing under uncertain runtime and unstable communication conditions.
Concurr. Comput. Pract. Exp., 2021

ADAPT: Adaptive distributed optimization approach for uploading data with redundancy in cooperative mobile cloud.
Concurr. Comput. Pract. Exp., 2021

Adaptive Task Distribution Approach Using Threshold Behavior Tree for Robotic Swarm.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks.
Inf. Sci., 2020

NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm.
Complex., 2020

Benign: An Automatic Optimization Framework for the Logic of Swarm Behaviors.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems.
ACM Trans. Storage, 2019

Cooperation-Based Gene Regulatory Network for Target Entrapment.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Private Model Compression via Knowledge Distillation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
SP-Partitioner: A novel partition method to handle intermediate data skew in spark streaming.
Future Gener. Comput. Syst., 2018

Adversarial Attack and Defense on Graph Data: A Survey.
CoRR, 2018

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Learning towards Mobile Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

A Parallel Fast Fourier Transform Algorithm for Large-Scale Signal Data Using Apache Spark in Cloud.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
Towards collaborative storage scheduling using alternating direction method of multipliers for mobile edge cloud.
J. Syst. Softw., 2017

Optimal Dynamic Reserved Bandwidth Allocation for Cloud-Integrated Cyber-Physical Systems.
IEEE Access, 2017

A Lightweight Recommendation Framework for Mobile User's Link Selection in Dense Network.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

MECCAS: Collaborative Storage Algorithm Based on Alternating Direction Method of Multipliers on Mobile Edge Cloud.
Proceedings of the IEEE International Conference on Edge Computing, 2017

2016
Maximize Profit for Big Data Processing in Distributed Datacenters.
Proceedings of the Resource Management for Big Data Platforms, 2016

Fault-Tolerant Scheduling for Real-Time Scientific Workflows with Elastic Resource Provisioning in Virtualized Clouds.
IEEE Trans. Parallel Distributed Syst., 2016

Integrating Relationships and Attributes: A Model of Multilayer Networks.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

A Utility-Aware Approach to Redundant Data Upload in Cooperative Mobile Cloud.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Fault-Tolerant Scheduling for Real-Time Tasks on Multiple Earth-Observation Satellites.
IEEE Trans. Parallel Distributed Syst., 2015

FESTAL: Fault-Tolerant Elastic Scheduling Algorithm for Real-Time Tasks in Virtualized Clouds.
IEEE Trans. Computers, 2015

2014
Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds.
IEEE Trans. Cloud Comput., 2014

Analysis and Design of Fault-Tolerant Scheduling for Real-Time Tasks on Earth-Observation Satellites.
Proceedings of the 43rd International Conference on Parallel Processing, 2014

2013
Real-Time Fault-Tolerant Scheduling Based on Primary-Backup Approach in Virtualized Clouds.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013


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