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09/13/2023
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation
Segment anything model (SAM), an eminent universal image segmentation mo...
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09/09/2023
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation
Transformers have been extensively studied in medical image segmentation...
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09/06/2023
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning
We study the budget allocation problem in online marketing campaigns tha...
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06/14/2023
Carbon emissions and sustainability of launching 5G mobile networks in China
Since 2021, China has deployed more than 2.1 million 5G base stations to...
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05/09/2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Federated noisy label learning (FNLL) is emerging as a promising tool fo...
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05/07/2023
Spatiotemporally Consistent HDR Indoor Lighting Estimation
We propose a physically-motivated deep learning framework to solve a gen...
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02/06/2023
Cross-Fusion Rule for Personalized Federated Learning
Data scarcity and heterogeneity pose significant performance challenges ...
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01/14/2023
Hand Gesture Recognition through Reflected Infrared Light Wave Signals
In this study, we present a wireless (non-contact) gesture recognition m...
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10/25/2022
End-to-end Transformer for Compressed Video Quality Enhancement
Convolutional neural networks have achieved excellent results in compres...
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08/03/2022
Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints
This paper studies the event-triggered distributed fusion estimation pro...
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06/29/2022
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning
Vision transformers have recently set off a new wave in the field of med...
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06/29/2022
C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation
Convolutional neural networks (CNN), the most prevailing architecture fo...
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06/28/2022
FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification
Federated learning (FL), enabling different medical institutions or clie...
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03/17/2022
Surface Defect Detection and Evaluation for Marine Vessels using Multi-Stage Deep Learning
Detecting and evaluating surface coating defects is important for marine...
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12/28/2021
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing
Many payment platforms hold large-scale marketing campaigns, which alloc...
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04/21/2021
Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching
Image-text matching is an important multi-modal task with massive applic...
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04/20/2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis
Machine learning with deep neural networks (DNNs) has become one of the ...
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02/20/2021
Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis
A software vulnerability could be exploited without any visible symptoms...
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08/06/2020
Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition
Facial expression recognition from videos in the wild is a challenging t...
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10/08/2019
A framework for quantum homomorphic encryption with experimental demonstration
Quantum homomorphic encryption (QHE) is an encryption method that allows...
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08/15/2019
Quantum preprocessing for information-theoretic security in two-party computation
In classical two-party computation, a trusted initializer who prepares c...
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08/15/2019
Quantum preprocessing for security enhancement in classical two-party computation
In classical two-party computation, a trusted initializer who prepares c...
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12/01/2018
A Family-based Graphical Approach for Testing Hierarchically Ordered Families of Hypotheses
In applications of clinical trials, tested hypotheses are often grouped ...
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10/02/2018
A rebit-based quantum homomorphic encryption scheme
Quantum homomorphic encryption (QHE) is an encryption method that allows...
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10/02/2018
A quantum homomorphic encryption scheme for polynomial-sized circuits
Quantum homomorphic encryption (QHE) is an encryption method that allows...
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09/23/2018
Accelerate CU Partition in HEVC using Large-Scale Convolutional Neural Network
High efficiency video coding (HEVC) suffers high encoding computational ...
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09/01/2018
