Ting Wang
Orcid: 0000-0002-7223-8849Affiliations:
- East China Normal University, Shanghai, China
- Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong (former)
According to our database1,
Ting Wang
authored at least 77 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, January, 2025
Multi-Objective Deep Reinforcement Learning for Function Offloading in Serverless Edge Computing.
IEEE Trans. Serv. Comput., 2025
2024
IEEE Trans. Wirel. Commun., December, 2024
IEEE Trans. Mob. Comput., October, 2024
IEEE Trans. Wirel. Commun., June, 2024
Green Federated Learning Over Cloud-RAN With Limited Fronthaul Capacity and Quantized Neural Networks.
IEEE Trans. Wirel. Commun., May, 2024
GreedW: A Flexible and Efficient Decentralized Framework for Distributed Machine Learning.
IEEE Trans. Computers, March, 2024
Parameterized Deep Reinforcement Learning With Hybrid Action Space for Edge Task Offloading.
IEEE Internet Things J., March, 2024
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
IEEE Internet Things J., February, 2024
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices.
CoRR, 2024
Comput. Networks, 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework With Low Communication Overhead.
IEEE Trans. Parallel Distributed Syst., December, 2023
JointPS: Joint Parameter Server Placement and Flow Scheduling for Machine Learning Clusters.
IEEE Trans. Computers, December, 2023
Hierarchical Relational Graph Learning for Autonomous Multirobot Cooperative Navigation in Dynamic Environments.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023
Parameterized deep reinforcement learning with hybrid action space for energy efficient data center networks.
Comput. Networks, November, 2023
Reconfigurable Intelligent Surfaces Empowered Green Wireless Networks With User Admission Control.
IEEE Trans. Commun., July, 2023
Multi-Agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks.
IEEE Trans. Wirel. Commun., March, 2023
Machine Learning Empowered Intelligent Data Center Networking - Evolution, Challenges and Opportunities
Springer Briefs in Computer Science, Springer, ISBN: 978-981-19-7394-9, 2023
FairLight: Fairness-Aware Autonomous Traffic Signal Control With Hierarchical Action Space.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities.
ACM Comput. Surv., 2023
A Survey of AI-enabled Dynamic Manufacturing Scheduling: From Directed Heuristics to Autonomous Learning.
ACM Comput. Surv., 2023
Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
CoRR, 2023
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Green Federated Learning over Cloud-RAN with Limited Fronthaul and Quantized Neural Networks.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
LWSA: A Learning-Based Workflow Scheduling Algorithm for Energy-Efficient UAV Delivery System.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Towards Efficient Workflow Scheduling Over Yarn Cluster Using Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the IEEE Global Communications Conference, 2023
FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
2022
J. Commun. Inf. Networks, June, 2022
IEEE Trans. Wirel. Commun., 2022
BLB-gcForest: A High-Performance Distributed Deep Forest With Adaptive Sub-Forest Splitting.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Towards Fast and Accurate Federated Learning with Non-IID Data for Cloud-Based IoT Applications.
J. Circuits Syst. Comput., 2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment.
CoRR, 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities.
CoRR, 2022
Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks.
CoRR, 2022
Towards an energy-efficient Data Center Network based on deep reinforcement learning.
Comput. Networks, 2022
Blocking Island Paradigm Enhanced Intelligent Coordinated Virtual Network Embedding Based on Deep Reinforcement Learning.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
MonitorLight: Reinforcement Learning-based Traffic Signal Control Using Mixed Pressure Monitoring.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Intell. Converged Networks, 2021
CoRR, 2021
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021
Reconfigurable Intelligent Surface Assisted Federated Learning with Privacy Guarantee.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2018
Achieving Energy Efficiency in Data Centers Using an Artificial Intelligence Abstraction Model.
IEEE Trans. Cloud Comput., 2018
Comput. Commun., 2018
Proceedings of the IEEE Global Communications Conference, 2018
2017
Comput. Commun., 2017
Enforcing timely network policies installation in OpenFlow-based software defined networks.
Proceedings of the IEEE International Conference on Communications, 2017
2016
Comput. Commun., 2016
Presto: Towards efficient online virtual network embedding in virtualized cloud data centers.
Comput. Networks, 2016
2015
J. Cloud Comput., 2015
Designing efficient high performance server-centric data center network architecture.
Comput. Networks, 2015
Comput. Networks, 2015
COSTA: Cross-layer optimization for sketch-based software defined measurement task assignment.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015
CLOT: A cost-effective low-latency overlaid torus-based network architecture for data centers.
Proceedings of the 2015 IEEE International Conference on Communications, 2015
JieLin: A Scalable and Fault Tolerant Server-Centric Data Center Network Architecture.
Proceedings of the 2015 IEEE Global Communications Conference, 2015
An efficient framework for online virtual network embedding in virtualized cloud data centers.
Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015
2014
Rethinking the Data Center Networking: Architecture, Network Protocols, and Resource Sharing.
IEEE Access, 2014
Proceedings of the IEEE International Conference on Communications, 2014
Proceedings of the IEEE International Conference on Communications, 2014
Proceedings of the IEEE International Conference on Communications, 2014
Proceedings of the IEEE Global Communications Conference, 2014
Proceedings of the IEEE Global Communications Conference, 2014
Proceedings of the IEEE Global Communications Conference, 2014
Proceedings of the IEEE Global Communications Conference, 2014
Preventing passive TCP timeouts in data center networks with packet drop notification.
Proceedings of the 3rd IEEE International Conference on Cloud Networking, 2014