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Bias-reduced multi-step hindsight experience replay
Multi-goal reinforcement learning is widely used in planning and robot m...
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Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method
In this paper, a safe and learning-based control framework for model pre...
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AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
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NCGNN: Node-level Capsule Graph Neural Network
Message passing has evolved as an effective tool for designing Graph Neu...
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Experimental Quantum Generative Adversarial Networks for Image Generation
Quantum machine learning is expected to be one of the first practical ap...
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Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
We study the offline meta-reinforcement learning (OMRL) problem, a parad...
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Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances
Enforcing safety on precise trajectory tracking is critical for aerial r...
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Learning-Based Safety-Stability-Driven Control for Safety-Critical Systems under Model Uncertainties
Safety and tracking stability are crucial for safety-critical systems su...
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Home, SafeHome: Smart Home Reliability with Visibility and Atomicity
Smart environments (homes, factories, hospitals, buildings) contain an i...
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A Locating Model for Pulmonary Tuberculosis Diagnosis in Radiographs
Objective: We propose an end-to-end CNN-based locating model for pulmona...
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An Uplink Control Channel Design with Complementary Sequences for Unlicensed Bands
In this study, we propose two schemes based on non-contiguous complement...
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Low-PAPR Multi-channel OOK Waveform for IEEE 802.11ba Wake-up Radio
The peak-to-average-power ratio (PAPR) of the frequency domain multiplex...
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Learning Target-oriented Dual Attention for Robust RGB-T Tracking
RGB-Thermal object tracking attempt to locate target object using comple...
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Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity
In this paper, we propose Hard Person Identity Mining (HPIM) that attemp...
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A Reliable Uplink Control Channel Design with Complementary Sequences
In this study, we propose two schemes for uplink control channels based ...
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Robust Matrix Completion State Estimation in Distribution Systems
Due to the insufficient measurements in the distribution system state es...
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Pedestrian Attribute Recognition: A Survey
Recognizing pedestrian attributes is an important task in computer visio...
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Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning
Incorporating various modes of information into the machine learning pro...
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Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
The tracking-by-detection framework requires a set of positive and negat...
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A Generic Complementary Sequence Encoder
In this study, we propose a generic complementary sequence (CS) encoder ...
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Sequence-Based OOK for Orthogonal Multiplexing of Wake-up Radio Signals and OFDM Waveforms
In this study, we propose an approach to constructing on-off keying (OOK...
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Timing Channel in IaaS: How to Identify and Investigate
Recently, the IaaS (Infrastructure as a Service) Cloud (e.g., Amazon EC2...
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A Comparison of SC-FDE and UW DFT-s-OFDM for Millimeter Wave Communications
In this study, we compare the single-carrier (SC) waveform adopted in IE...
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