Showing 1–20 of 21 results
/ Date/ Name
Jul 25, 2019Optimizing vaccine distribution networks in low and middle-income countriesOct 28, 2022Completely Heterogeneous Federated LearningNov 1, 2022Position-Aware Subgraph Neural Networks with Data-Efficient LearningJul 18, 2020Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel PredictionJul 7, 2020Learning Combined Set Covering and Traveling Salesman ProblemSep 16, 2023UNIDEAL: Curriculum Knowledge Distillation Federated LearningFeb 20, 2024Federated Multi-Task Learning on Non-IID Data Silos: An Experimental StudyAug 27, 2019Outreach Strategies for Vaccine Distribution: A Multi-Period Stochastic Modeling ApproachOct 13, 2022NoMorelization: Building Normalizer-Free Models from a Sample's PerspectiveJan 14, 2023Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage PredictionJul 25, 2019An Iterative Cyclic Algorithm for Designing Vaccine Distribution Networks in Low and Middle-Income CountriesAug 9, 2019Deep Learning based Downlink Channel Prediction for FDD Massive MIMO SystemDec 27, 2019Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO SystemsSep 29, 2019Model-aided Deep Neural Network for Source Number DetectionNov 24, 2021Federated Dynamic Neural Network for Deep MIMO DetectionSep 6, 2020FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6GHz Channel and A Few PilotsNov 19, 2022EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL TestNov 22, 2023FedHCA$^2$: Towards Hetero-Client Federated Multi-Task LearningFeb 20, 2025DAG: Deep Adaptive and Generative $K$-Free Community Detection on Attributed GraphsJun 6, 2021Deep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming