Showing 1–20 of 59 results
/ Date/ Name
Nov 22, 2019Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksJun 4, 2019Improved Zero-shot Neural Machine Translation via Ignoring Spurious CorrelationsOct 6, 2020On the Sparsity of Neural Machine Translation ModelsFeb 21, 2019Rate-Splitting for Multi-User Multi-Antenna Wireless Information and Power TransferMar 25, 2021Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan CitiesAug 4, 2015Coordinated Electric Vehicle Charging Control with Aggregator Power Trading and Indirect Load ControlSep 26, 2015A Revisit of Infinite Population Models for Evolutionary Algorithms on Continuous Optimization ProblemsFeb 8, 2017Trainable Greedy Decoding for Neural Machine TranslationMay 20, 2017Search Engine Guided Non-Parametric Neural Machine TranslationFeb 15, 2018Universal Neural Machine Translation for Extremely Low Resource LanguagesMar 21, 2016Incorporating Copying Mechanism in Sequence-to-Sequence LearningFeb 1, 2015Optimal V2G Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction OptimizationJan 8, 2015Phase Identification in Distribution Networks with Micro-SynchrophasorsAug 24, 2018Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission: Spectral and Energy Efficiency AnalysisAug 25, 2018Meta-Learning for Low-Resource Neural Machine TranslationOct 30, 2017Rate-Splitting Multiple Access for Downlink Communication Systems: Bridging, Generalizing and Outperforming SDMA and NOMAFeb 24, 2017Inconsistency of Measure-Theoretic Probability and Random Behavior of Microscopic SystemsJan 6, 2017Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed AlgorithmOct 22, 2016pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big DataApr 1, 2014Information-Theoretic Bounds for Performance of Resource-Constrained Communication Systems