Ting Wang

Orcid: 0000-0002-7223-8849

Affiliations:
  • 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 67 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

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

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 Linear Bandit Learning via Over-the-Air Computation.
CoRR, 2023

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.
CoRR, 2023

Communication-Efficient Vertically Split Inference via Over-the-Air Computation.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Model-Contrastive Learning for Backdoor Elimination.
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

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
Rethinking Data Center Networks: Machine Learning Enables Network Intelligence.
J. Commun. Inf. Networks, June, 2022

Over-the-Air Federated Learning via Second-Order Optimization.
IEEE Trans. Wirel. Commun., 2022

BLB-gcForest: A High-Performance Distributed Deep Forest With Adaptive Sub-Forest Splitting.
IEEE Trans. Parallel Distributed Syst., 2022

PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Special issue on Reliable Software Technologies (AEiC2021).
J. Syst. Archit., 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

Model-Contrastive Learning for Backdoor Defense.
CoRR, 2022

Machine Learning Empowered Intelligent Data Center Networking: A Survey.
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
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation.
CoRR, 2021

Multipath-aware TCP for Data Center Traffic Load-balancing.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Multiuser Downlink Beamforming for URLLC in the Short Blocklength Regime.
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

Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

UAV-Assisted Over-the-Air Computation.
Proceedings of the ICC 2021, 2021

ICE: Intelligent Caching at the Edge.
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

A cost-effective low-latency overlaid torus-based data center network architecture.
Comput. Commun., 2018

eMPTCP: Towards High Performance Multipath Data Transmission by Leveraging SDN.
Proceedings of the IEEE Global Communications Conference, 2018

2017
JOTA: Joint optimization for the task assignment of sketch-based measurement.
Comput. Commun., 2017

Enforcing timely network policies installation in OpenFlow-based software defined networks.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Towards cost-effective and low latency data center network architecture.
Comput. Commun., 2016

Presto: Towards efficient online virtual network embedding in virtualized cloud data centers.
Comput. Networks, 2016

2015
Towards bandwidth guaranteed energy efficient data center networking.
J. Cloud Comput., 2015

Designing efficient high performance server-centric data center network architecture.
Comput. Networks, 2015

CeMon: A cost-effective flow monitoring system in software defined networks.
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

Improving the efficiency of server-centric data center network architectures.
Proceedings of the IEEE International Conference on Communications, 2014

SprintNet: A high performance server-centric network architecture for data centers.
Proceedings of the IEEE International Conference on Communications, 2014

CheetahFlow: Towards low latency software-defined network.
Proceedings of the IEEE International Conference on Communications, 2014

Fine-grained power control for combined input-crosspoint queued switches.
Proceedings of the IEEE Global Communications Conference, 2014

A general framework for performance guaranteed green data center networking.
Proceedings of the IEEE Global Communications Conference, 2014

NovaCube: A low latency Torus-based network architecture for data centers.
Proceedings of the IEEE Global Communications Conference, 2014

FlowCover: Low-cost flow monitoring scheme in software defined networks.
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


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