Victoria Huang

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 19

Top Topics

Dynamic Resource Allocation

Reinforcement Learning

Cooperative Coevolution

Top Venues

IEEE Internet Comput.

IEEE Trans. Netw. Serv. Manag.

Publications

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)
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) (2023)
Gang Chen, Victoria Huang
Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. IJCAI (2023)
Guoqiang Liu, Gang Chen, Victoria Huang
Policy ensemble gradient for continuous control problems in deep reinforcement learning. Neurocomputing 548 (2023)
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 (2023)
Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt
Learning to Solve Climate Sensor Placement Problems with a Transformer. CoRR (2023)
Gang Chen, Victoria Huang
Deep Metric Tensor Regularized Policy Gradient. CoRR (2023)
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)
Gang Chen, Victoria Huang
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. CoRR (2022)
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)
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)
Victoria Huang, Gang Chen, Qiang Fu
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. CoRR (2021)
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)
Alex Liu, Andrew Boka, Asal Baragchizadeh, Chandini Muthukumar, Victoria Huang, Arjun Sarup, Regina Ferrell, Gerald Friedland, Thomas Karnowski, Meredith Lee, Alice J. O'Toole
Overview Paper for Driving Road Safety Forward: Video Data Privacy Task at MediaEval 2021. MediaEval (2021)
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) (2020)
Victoria Huang, Gang Chen, Qiang Fu
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning. CoRR (2019)
Victoria Huang, Gang Chen, Qiang Fu
Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. ICC (2019)
Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen
Optimizing Controller Placement for Software-Defined Networks. CoRR (2019)
Victoria Huang, Qiang Fu, Gang Chen, Elliott Wen, Jonathan Hart
BLAC: A Bindingless Architecture for Distributed SDN Controllers. LCN (2017)
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 (2013)