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09/08/2023
Create Your World: Lifelong Text-to-Image Diffusion
Text-to-image generative models can produce diverse high-quality images ...
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09/06/2023
Reconfigurable Intelligent Surface Aided Space Shift Keying With Imperfect CSI
In this paper, we investigate the performance of reconfigurable intellig...
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07/31/2023
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
Deep learning models have demonstrated impressive performance in various...
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04/09/2023
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
Hierarchical Federated Learning (HFL) is a distributed machine learning ...
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03/22/2023
Frozen Language Model Helps ECG Zero-Shot Learning
The electrocardiogram (ECG) is one of the most commonly used non-invasiv...
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12/22/2022
Reversible Column Networks
We propose a new neural network design paradigm Reversible Column Networ...
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11/19/2022
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics
High-quality estimation of surface normal can help reduce ambiguity in m...
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09/27/2022
A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges
Fairness, a criterion focuses on evaluating algorithm performance on dif...
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07/30/2022
Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors
Temperature monitoring is critical for electrical motors to determine if...
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07/21/2022
Temporal and Spatial Online Integrated Calibration for Camera and LiDAR
While camera and LiDAR are widely used in most of the assisted and auton...
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05/30/2022
CompleteDT: Point Cloud Completion with Dense Augment Inference Transformers
Point cloud completion task aims to predict the missing part of incomple...
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03/24/2022
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation
We propose a novel style transfer method to quickly create a new visual ...
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02/18/2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Motivated by the advancing computational capacity of distributed end-use...
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05/31/2021
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Spine-related diseases have high morbidity and cause a huge burden of so...
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09/20/2020
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm
Motivated by the advancing computational capabilities of wireless end us...
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03/23/2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Counterfactual prediction is a fundamental task in decision-making. G-co...
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02/29/2020
Performance Analysis and Optimization in Privacy-Preserving Federated Learning
As a means of decentralized machine learning, federated learning (FL) ha...
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02/04/2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
Strictly enforcing orthonormality constraints on parameter matrices has ...
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06/16/2019
Learning Part Generation and Assembly for Structure-aware Shape Synthesis
Learning deep generative models for 3D shape synthesis is largely limite...
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04/18/2018
