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04/24/2023
Large Intelligent Surface Measurements for Joint Communication and Sensing
Multiple concepts for future generations of wireless communication stand...
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04/01/2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
Random label noises (or observational noises) widely exist in practical ...
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07/04/2022
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models
While fine-tuning pre-trained networks has become a popular way to train...
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09/12/2021
Sequential Detection and Estimation of Multipath Channel Parameters Using Belief Propagation
This paper proposes a belief propagation (BP)-based algorithm for sequen...
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09/02/2021
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study
Existing interpretation algorithms have found that, even deep models mak...
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04/29/2021
From Distributed Machine Learning to Federated Learning: A Survey
In recent years, data and computing resources are typically distributed ...
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03/19/2021
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond
Deep neural networks have been well-known for their superb performance i...
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10/16/2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
Fine-tuning deep neural networks pre-trained on large scale datasets is ...
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07/13/2020
Representation Transfer by Optimal Transport
Deep learning currently provides the best representations of complex obj...
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05/18/2020
Cross-Task Transfer for Multimodal Aerial Scene Recognition
Aerial scene recognition is a fundamental task in remote sensing and has...
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05/18/2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Aerial scene recognition is a fundamental task in remote sensing and has...
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05/13/2019
Massive MIMO Extensions to the COST 2100 Channel Model: Modeling and Validation
To enable realistic studies of massive multiple-input multiple-output sy...
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11/11/2018
Massive MIMO-based Localization and Mapping Exploiting Phase Information of Multipath Components
In this paper, we present a robust multipath-based localization and mapp...
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02/05/2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
In inductive transfer learning, fine-tuning pre-trained convolutional ne...
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08/21/2017