Victoria Huang

22 papers A* 1A 1B 3Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. AI (1) Chen Wang, Erik Behrens, Hui Ma, Gang Chen, Victoria Huang
2024	J	`jnl`	Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach. IEEE Trans. Cybern. Victoria Huang, Gang Chen, Xingquan Zuo, Albert Y. Zomaya, Nasrin Sohrabi, Zahir Tari, Qiang Fu
2024	—	`conf`	Sensor-Drift-Aware Time-Series Anomaly Detection for Climate Stations. CAI Bryce Chen, Victoria Huang, Chen Wang
2023	J	`jnl`	Deep Metric Tensor Regularized Policy Gradient. CoRR Gang Chen, Victoria Huang
2023	—	`conf`	Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. EvoApplications@EvoStar Chen Wang, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, Kameron Christopher
2023	A*	`conf`	Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. IJCAI Gang Chen, Victoria Huang
2023	—	`conf`	Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. AI (2) Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen, Hui Ma
2023	B	`conf`	Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. CLOUD Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi
2023	J	`jnl`	Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. CoRR Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi
2023	J	`jnl`	Learning to Solve Climate Sensor Placement Problems with a Transformer. CoRR Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt
2023	J	`jnl`	Policy ensemble gradient for continuous control problems in deep reinforcement learning. Neurocomputing Guoqiang Liu, Gang Chen, Victoria Huang
2023	J	`jnl`	Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 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
2022	—	`conf`	Adaptive Edge-Cloud Environments for Rural AI. SCC Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster
2022	A	`conf`	Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. ICSOC Victoria Huang, Chen Wang, Hui Ma, Gang Chen, Kameron Christopher
2022	J	`jnl`	Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. CoRR Gang Chen, Victoria Huang
2021	B	`conf`	Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. CEC Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang
2021	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. CoRR Victoria Huang, Gang Chen, Qiang Fu
2020	J	`jnl`	A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency. IEEE Trans. Netw. Serv. Manag. Victoria Huang, Gang Chen, Peng Zhang, Hao Li, Chengchen Hu, Tian Pan, Qiang Fu
2019	—	`conf`	Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. ICC Victoria Huang, Gang Chen, Qiang Fu
2019	J	`jnl`	Effective Scheduling Function Design in SDN through Deep Reinforcement Learning. CoRR Victoria Huang, Gang Chen, Qiang Fu
2019	J	`jnl`	Optimizing Controller Placement for Software-Defined Networks. CoRR Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen
2017	B	`conf`	BLAC: A Bindingless Architecture for Distributed SDN Controllers. LCN Victoria Huang, Qiang Fu, Gang Chen, Elliott Wen, Jonathan Hart