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09/13/2023
Unsupervised Contrast-Consistent Ranking with Language Models
Language models contain ranking-based knowledge and are powerful solvers...
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09/05/2023
Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model
Objectives: Approximately 30 (ASCC) patients will experience recurrence ...
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08/21/2023
Frequency Compensated Diffusion Model for Real-scene Dehazing
Due to distribution shift, deep learning based methods for image dehazin...
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08/17/2023
FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings
Logo embedding plays a crucial role in various e-commerce applications b...
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08/13/2023
Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion
The application of video captioning models aims at translating the conte...
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08/04/2023
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
Compared to the multi-stage self-supervised multi-view stereo (MVS) meth...
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08/03/2023
Dynamic Token-Pass Transformers for Semantic Segmentation
Vision transformers (ViT) usually extract features via forwarding all th...
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07/26/2023
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Transformer-based pretrained language models (PLMs) have achieved great ...
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07/12/2023
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Mitosis detection is one of the fundamental tasks in computational patho...
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06/28/2023
Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting
Food effect summarization from New Drug Application (NDA) is an essentia...
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06/20/2023
Experimental Demonstration of Secure Frequency Hopping Communication Enabled by Quantum Key Distribution
We propose and experimentally demonstrate a method of frequency hopping ...
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06/17/2023
Genes in Intelligent Agents
Training intelligent agents in Reinforcement Learning (RL) is much more ...
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06/16/2023
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction
Automatic bill payment is an important part of business operations in fi...
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05/23/2023
Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet
Transonic buffet is a flow instability phenomenon that arises from the i...
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05/13/2023
Tight and fast generalization error bound of graph embedding in metric space
Recent studies have experimentally shown that we can achieve in non-Eucl...
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05/12/2023
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy
Austenitic 347H stainless steel offers superior mechanical properties an...
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04/30/2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Multiparametric magnetic resonance imaging (mpMRI) has demonstrated prom...
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04/26/2023
Time-Interleaving Enabled Co-propagation of QKD and Classical Channels over 100-km Fiber with 10-dBm Classical Launch Power
The commercial success and wide deployment of quantum key distribution (...
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04/05/2023
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models
Recently, the diffusion model has emerged as a superior generative model...
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03/24/2023
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction
Deep neural networks have been widely studied for predicting a medical c...
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03/23/2023
PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models
Recent studies showed that Photoplethysmography (PPG) sensors embedded i...
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03/21/2023
Data Augmentation For Label Enhancement
Label distribution (LD) uses the description degree to describe instance...
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03/06/2023
Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils
Aerodynamic performance evaluation is an important part of the aircraft ...
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03/05/2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Non-stationary parametric bandits have attracted much attention recently...
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02/20/2023
Differentiable Arbitrating in Zero-sum Markov Games
We initiate the study of how to perturb the reward in a zero-sum Markov ...
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02/14/2023
Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System
Artificial Intelligence (AI) brings advancements to support pathologists...
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12/29/2022
QPanda: high-performance quantum computing framework for multiple application scenarios
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and th...
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11/11/2022
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering
There is a key problem in the medical visual question answering task tha...
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11/05/2022
Modified EDAS Method Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-valued Intuitionistic Fuzzy Information
The Interval-valued intuitionistic fuzzy sets (IVIFSs) based on the intu...
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10/08/2022
Unweighted estimation based on optimal sample under measurement constraints
To tackle massive data, subsampling is a practical approach to select th...
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10/02/2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making – a clinician's perspective
Prediction uncertainty estimation has clinical significance as it can po...
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09/22/2022
Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers
For Head and Neck Cancers (HNC) patient management, automatic gross tumo...
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09/20/2022
Replicating Persistent Memory Key-Value Stores with Efficient RDMA Abstraction
Combining persistent memory (PM) with RDMA is a promising approach to pe...
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08/23/2022
A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation
Most existing deep-learning-based single image dynamic scene blind deblu...
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07/29/2022
AlphaVC: High-Performance and Efficient Learned Video Compression
Recently, learned video compression has drawn lots of attention and show...
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07/28/2022
Content-oriented learned image compression
In recent years, with the development of deep neural networks, end-to-en...
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07/25/2022
Fine-Tuning BERT for Automatic ADME Semantic Labeling in FDA Drug Labeling to Enhance Product-Specific Guidance Assessment
Product-specific guidances (PSGs) recommended by the United States Food ...
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07/22/2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Classification on long-tailed distributed data is a challenging problem,...
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07/04/2022
Positive-Negative Equal Contrastive Loss for Semantic Segmentation
The contextual information is critical for various computer vision tasks...
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07/01/2022
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
Existing text recognition methods usually need large-scale training data...
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06/28/2022
Taxonomy and evolution predicting using deep learning in images
Molecular and morphological characters, as important parts of biological...
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05/27/2022
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity
The elasticity of soft tissues has been widely considered as a character...
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05/26/2022
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions
Multiple chronic conditions (MCC) are one of the biggest challenges of m...
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05/20/2022
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion
Measuring the perceptual quality of images automatically is an essential...
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05/17/2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling
Faced with massive data, subsampling is a commonly used technique to imp...
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05/05/2022
Soft and Hard Constrained Parametric Generative Schemes for Encoding and Synthesizing Airfoils
Traditional airfoil parametric technique has significant limitation in m...
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04/15/2022
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation
Recognizing human locomotion intent and activities is important for cont...
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03/30/2022
Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity
Existing navigation policies for autonomous robots tend to focus on coll...
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03/18/2022
BIOS: An Algorithmically Generated Biomedical Knowledge Graph
Biomedical knowledge graphs (BioMedKGs) are essential infrastructures fo...
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03/07/2022
