BLAC: A Bindingless Architecture for Distributed SDN Controllers. - Victoria Huang 001; Qiang Fu 011; Gang Chen 002; Elliott Wen; Jonathan Hart (LCN, 2017)

Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. - Victoria Huang 001; Gang Chen 002; Qiang Fu 011 (ICC, 2019)

Optimizing Controller Placement for Software-Defined Networks. - Victoria Huang 001; Gang Chen 002; Qiang Fu 011; Elliott Wen (CoRR, 2019)

A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency. - Victoria Huang 001; Gang Chen 002; Peng Zhang 011; Hao Li 011; Chengchen Hu; Tian Pan 001; Qiang Fu 011 (IEEE Trans. Netw. Serv. Manag., 2020)

Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. - Yifan Yang 002; Gang Chen 002; Hui Ma 001; Mengjie Zhang 001; Victoria Huang 001 (CEC, 2021)

Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. - Victoria Huang 001; Gang Chen 002; Qiang Fu 011 (CoRR, 2021)

Adaptive Edge-Cloud Environments for Rural AI. - Osama Almurshed; Panos Patros; Victoria Huang 001; Michael Mayo; Melanie Ooi; Ryan Chard; Kyle Chard; Omer F. Rana; Harshaan Nagra; Matt Baughman; Ian T. Foster (SCC, 2022)

Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. - Victoria Huang 001; Chen Wang 013; Hui Ma 001; Gang Chen 002; Kameron Christopher (ICSOC, 2022)

Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. - Gang Chen 002; Victoria Huang 001 (CoRR, 2022)

Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. - Victoria Huang 001; Shaleeza Sohail; Michael Mayo; Tania Lorido-Botran; Mark Rodrigues; Chris Anderson; Melanie Ooi (CLOUD, 2023)

Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. - Victoria Huang 001; Chen Wang 013; Samik Datta; Bryce Chen; Gang Chen 002; Hui Ma 001 (AI (2), 2023)

Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Victoria Huang 001; Yongbo Yu; Kameron Christopher (EvoApplications@EvoStar, 2023)

Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. - Gang Chen 002; Victoria Huang 001 (IJCAI, 2023)

Deep Metric Tensor Regularized Policy Gradient. - Gang Chen 002; Victoria Huang 001 (CoRR, 2023)

Learning to Solve Climate Sensor Placement Problems with a Transformer. - Chen Wang 013; Victoria Huang 001; Gang Chen 002; Hui Ma 001; Bryce Chen; Jochen Schmidt (CoRR, 2023)

Policy ensemble gradient for continuous control problems in deep reinforcement learning. - Guoqiang Liu; Gang Chen 002; Victoria Huang 001 (Neurocomputing, 2023)

Rural AI: Serverless-Powered Federated Learning for Remote Applications. - Panos Patros; Melanie Ooi; Victoria Huang 001; Michael Mayo; Chris Anderson; Stephen Burroughs; Matt Baughman; Osama Almurshed; Omer F. Rana; Ryan Chard; Kyle Chard; Ian T. Foster (IEEE Internet Comput., 2023)

Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. - 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 (IEEE Instrum. Meas. Mag., 2023)

Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. - Chen Wang 013; Erik Behrens; Hui Ma 001; Gang Chen 002; Victoria Huang 001 (AI (1), 2024)

Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach. - Victoria Huang 001; Gang Chen 002; Xingquan Zuo; Albert Y. Zomaya; Nasrin Sohrabi; Zahir Tari; Qiang Fu 011 (IEEE Trans. Cybern., 2024)