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ORCIDVictoria Huang 0001
Person information
- affiliation: National Institute of Water and Atmospheric Research, Wellington, New Zealand
Other persons with the same name
- Victoria Huang 0002 — University of Texas at Dallas, School of Behavioral and Brain Sciences, TX, USA
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2020 – today
- 2024
[j5]Victoria Huang
, Gang Chen, Xingquan Zuo, Albert Y. Zomaya, Nasrin Sohrabi, Zahir Tari, Qiang Fu:
Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach. IEEE Trans. Cybern. 54(5): 3211-3224 (2024)- 2023
- [j4]Guoqiang Liu, Gang Chen, Victoria Huang:
Policy ensemble gradient for continuous control problems in deep reinforcement learning. Neurocomputing 548: 126381 (2023) - [j3]Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra:
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. IEEE Instrum. Meas. Mag. 26(9): 21-31 (2023) - [j2]Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster:
Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27(2): 28-34 (2023) - [c9]Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi:
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. CLOUD 2023: 1-3 - [c8]Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen, Hui Ma:
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. AI (2) 2023: 387-399 - [c7]Chen Wang, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, Kameron Christopher:
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. EvoApplications@EvoStar 2023: 539-555 - [c6]Gang Chen, Victoria Huang:
Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. IJCAI 2023: 3514-3522 - [i7]Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi:
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. CoRR abs/2305.09856 (2023) - [i6]Gang Chen, Victoria Huang:
Deep Metric Tensor Regularized Policy Gradient. CoRR abs/2305.11017 (2023) - [i5]Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt:
Learning to Solve Climate Sensor Placement Problems with a Transformer. CoRR abs/2310.12387 (2023) - 2022
- [c5]Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster:
Adaptive Edge-Cloud Environments for Rural AI. SCC 2022: 74-83 - [c4]Victoria Huang, Chen Wang, Hui Ma, Gang Chen, Kameron Christopher:
Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. ICSOC 2022: 449-464 - [i4]Gang Chen, Victoria Huang:
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. CoRR abs/2209.14488 (2022) - 2021
- [c3]Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang:
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. CEC 2021: 2141-2148 - [i3]Victoria Huang, Gang Chen, Qiang Fu:
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. CoRR abs/2103.03022 (2021) - 2020
- [j1]Victoria Huang, Gang Chen, Peng Zhang, Hao Li, Chengchen Hu, Tian Pan, Qiang Fu:
A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency. IEEE Trans. Netw. Serv. Manag. 17(2): 682-695 (2020)
2010 – 2019
- 2019
- [c2]Victoria Huang, Gang Chen, Qiang Fu:
Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. ICC 2019: 1-7 - [i2]Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen:
Optimizing Controller Placement for Software-Defined Networks. CoRR abs/1902.09451 (2019) - [i1]Victoria Huang, Gang Chen, Qiang Fu:
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning. CoRR abs/1904.06039 (2019) - 2017
- [c1]Victoria Huang, Qiang Fu, Gang Chen, Elliott Wen, Jonathan Hart:
BLAC: A Bindingless Architecture for Distributed SDN Controllers. LCN 2017: 146-154
Coauthor Index
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