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08/01/2023
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...
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07/13/2023
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning
Objective: The artificial pancreas (AP) has shown promising potential in...
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05/18/2023
Dirichlet Diffusion Score Model for Biological Sequence Generation
Designing biological sequences is an important challenge that requires s...
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04/23/2023
Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions
Limited availability of representative time-to-failure (TTF) trajectorie...
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04/03/2023
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework
We study the problem of semantic segmentation of large-scale 3D point cl...
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01/28/2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Human readers or radiologists routinely perform full-body multi-organ mu...
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12/15/2022
Combating Uncertainty and Class Imbalance in Facial Expression Recognition
Recognition of facial expression is a challenge when it comes to compute...
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12/14/2022
Multi-Scale Feature Fusion Transformer Network for End-to-End Single Channel Speech Separation
Recently studies on time-domain audio separation networks (TasNets) have...
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08/18/2022
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data
Sampling is an essential part of raw point cloud data processing such as...
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11/02/2021
CycleGAN with Dual Adversarial Loss for Bone-Conducted Speech Enhancement
Compared with air-conducted speech, bone-conducted speech has the unique...
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11/02/2021
Attention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion
Whispered speech is a special way of pronunciation without using vocal c...
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06/18/2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation
Novelty detection is the process of determining whether a query example ...
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04/19/2021
Contrastive Learning for Compact Single Image Dehazing
Single image dehazing is a challenging ill-posed problem due to the seve...
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02/04/2020
Multistage Model for Robust Face Alignment Using Deep Neural Networks
An ability to generalize unconstrained conditions such as severe occlusi...
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01/22/2019
Battery selection for optimal grid-outage resilient photovoltaic and battery systems
The first and most important purpose of the current research work is to ...
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10/25/2018
Perceptual Visual Interactive Learning
Supervised learning methods are widely used in machine learning. However...
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06/01/2018
Analysis of Peer Review Effectiveness for Academic Journals Based on Distributed Parallel System
A simulation model based on parallel systems is established, aiming to e...
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10/28/2017