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Guiying (Victoria) Huang
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Year
Optimizing controller placement for software-defined networks
V Huang, G Chen, Q Fu, E Wen
2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019
312019
A scalable approach to SDN control plane management: High utilization comes with low latency
V Huang, G Chen, P Zhang, H Li, C Hu, T Pan, Q Fu
IEEE Transactions on Network and Service Management 17 (2), 682-695, 2020
232020
BLAC: A bindingless architecture for distributed SDN controllers
V Huang, Q Fu, G Chen, E Wen, J Hart
2017 IEEE 42nd Conference on Local Computer Networks (LCN), 146-154, 2017
142017
Rural ai: Serverless-powered federated learning for remote applications
P Patros, M Ooi, V Huang, M Mayo, C Anderson, S Burroughs, ...
IEEE Internet Computing 27 (2), 28-34, 2022
122022
Effective scheduling function design in SDN through deep reinforcement learning
V Huang, G Chen, Q Fu
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019
112019
Adaptive edge-cloud environments for rural AI
O Almurshed, P Patros, V Huang, M Mayo, M Ooi, R Chard, K Chard, ...
2022 IEEE International Conference on Services Computing (SCC), 74-83, 2022
72022
Budget and SLA aware dynamic workflow scheduling in cloud computing with heterogeneous resources
Y Yang, G Chen, H Ma, M Zhang, V Huang
2021 IEEE Congress on Evolutionary Computation (CEC), 2141-2148, 2021
72021
Cost-aware dynamic multi-workflow scheduling in cloud data center using evolutionary reinforcement learning
V Huang, C Wang, H Ma, G Chen, K Christopher
International Conference on Service-Oriented Computing, 449-464, 2022
62022
Request dispatching over distributed SDN control plane: a multiagent approach
V Huang, G Chen, X Zuo, AY Zomaya, N Sohrabi, Z Tari, Q Fu
IEEE Transactions on Cybernetics, 2023
22023
Energy-aware dynamic resource allocation in container-based clouds via cooperative coevolution genetic programming
C Wang, H Ma, G Chen, V Huang, Y Yu, K Christopher
International Conference on the Applications of Evolutionary Computation …, 2023
22023
Ensemble Reinforcement Learning in Continuous Spaces--A Hierarchical Multi-Step Approach for Policy Training
G Chen, V Huang
arXiv preprint arXiv:2209.14488, 2022
22022
Multi-agent deep reinforcement learning for request dispatching in distributed-controller software-defined networking
V Huang, G Chen, Q Fu
arXiv preprint arXiv:2103.03022, 2021
22021
GESPIRiT: ESPIRiT combined with GRAPPA while autocalibration data is insufficient
R Yang, R Yang, G Huang
2014 13th International Conference on Control Automation Robotics & Vision …, 2014
22014
Measurement and applications: Exploring the challenges and opportunities of hierarchical federated learning in sensor applications
MPL Ooi, S Sohail, VG Huang, N Hudson, M Baughman, O Rana, A Hinze, ...
IEEE Instrumentation & Measurement Magazine 26 (9), 21-31, 2023
12023
Policy ensemble gradient for continuous control problems in deep reinforcement learning
G Liu, G Chen, V Huang
Neurocomputing 548, 126381, 2023
12023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
V Huang, S Sohail, M Mayo, TL Botran, M Rodrigues, C Anderson, M Ooi
2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 1-3, 2023
12023
Hierarchical training of deep ensemble policies for reinforcement learning in continuous spaces
G Chen, V Huang
arXiv preprint arXiv:2209.14488, 2022
12022
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
V Huang, C Wang, S Datta, B Chen, G Chen, H Ma
Australasian Joint Conference on Artificial Intelligence, 387-399, 2023
2023
Learning to Solve Climate Sensor Placement Problems with a Transformer
C Wang, V Huang, G Chen, H Ma, B Chen, J Schmidt
arXiv preprint arXiv:2310.12387, 2023
2023
Deep Metric Tensor Regularized Policy Gradient
G Chen, V Huang
arXiv preprint arXiv:2305.11017, 2023
2023
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