b'Sheng Wang'

research

∙ 09/14/2023

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Starting from the resurgence of deep learning, vision-language models (V...

0 Haozhe Zhao, et al. ∙

research

∙ 09/02/2023

AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation

Accurate automatic segmentation of medical images typically requires lar...

0 Xiangyu Zhao, et al. ∙

research

∙ 07/12/2023

CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification

Automatic examination of thin-prep cytologic test (TCT) slides can assis...

0 Zhenrong Shen, et al. ∙

research

∙ 06/29/2023

SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

Numerous studies have underscored the significant privacy risks associat...

0 Leqian Zheng, et al. ∙

research

∙ 06/05/2023

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications

Model pre-training on large text corpora has been demonstrated effective...

0 Han Xie, et al. ∙

research

∙ 05/25/2023

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

The potential of integrating Computer-Assisted Diagnosis (CAD) with Larg...

0 Zihao Zhao, et al. ∙

research

∙ 05/15/2023

Learning Better Contrastive View from Radiologist's Gaze

Recent self-supervised contrastive learning methods greatly benefit from...

0 Sheng Wang, et al. ∙

research

∙ 05/14/2023

A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment

When communicating with elders with cognitive impairment, cognitive stim...

0 Jiyue Jiang, et al. ∙

research

∙ 04/20/2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning

Mammographic image analysis is a fundamental problem in the computer-aid...

0 Zheren Li, et al. ∙

research

∙ 04/16/2023

Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion

Magnetic resonance (MR) images collected in 2D scanning protocols typica...

0 Xin Wang, et al. ∙

research

∙ 04/03/2023

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

The recent progress of large language models (LLMs), including ChatGPT a...

0 Honglin Xiong, et al. ∙

research

∙ 02/14/2023

ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Large language models (LLMs) have recently demonstrated their potential ...

0 Sheng Wang, et al. ∙

research

∙ 02/14/2023

BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction

Language models pre-trained on scientific literature corpora have substa...

0 Cai Yang, et al. ∙

research

∙ 01/13/2023

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation

Medical image segmentation methods are generally designed as fully-super...

0 Xiangyu Zhao, et al. ∙

research

∙ 11/26/2022

Robust One-shot Segmentation of Brain Tissues via Image-aligned Style Transformation

One-shot segmentation of brain tissues is typically a dual-model iterati...

0 Jinxin Lv, et al. ∙

research

∙ 11/13/2022

Social Welfare Maximization for Collaborative Edge Computing: A Deep Reinforcement Learning-Based Approach

Collaborative Edge Computing (CEC) is an effective method that improves ...

0 Xingqiu He, et al. ∙

research

∙ 11/07/2022

CELLS: A Parallel Corpus for Biomedical Lay Language Generation

Recent lay language generation systems have used Transformer models trai...

0 Yue Guo, et al. ∙

research

∙ 10/14/2022

MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks

Heterogeneous Information Network (HIN) is essential to study complicate...

0 Zequn Liu, et al. ∙

research

∙ 08/23/2022

POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study

Objective For the UK Biobank standardized phenotype codes are associated...

5 Lu Yang, et al. ∙

research

∙ 08/12/2022

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation

Brain network analysis for traumatic brain injury (TBI) patients is crit...

10 Xiangyu Zhao, et al. ∙

research

∙ 07/11/2022

Brain-Aware Replacements for Supervised Contrastive Learning

We propose a novel framework for Alzheimer's disease (AD) detection usin...

0 Mehmet Saygin Seyfioglu, et al. ∙

research

∙ 07/04/2022

E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction

RNA structure determination and prediction can promote RNA-targeted drug...

0 Tao Shen, et al. ∙

research

∙ 06/10/2022

Graph-in-Graph Network for Automatic Gene Ontology Description Generation

Gene Ontology (GO) is the primary gene function knowledge base that enab...

0 Fenglin Liu, et al. ∙

research

∙ 05/31/2022

Hedging option books using neural-SDE market models

We study the capability of arbitrage-free neural-SDE market models to yi...

0 Samuel N. Cohen, et al. ∙

research

∙ 05/25/2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning

Learning harmful shortcuts such as spurious correlations and biases prev...

0 Chong Ma, et al. ∙

research

∙ 05/23/2022

Arbitrary Reduction of MRI Slice Spacing Based on Local-Aware Implicit Representation

Magnetic resonance (MR) images are often acquired in 2D settings for rea...

0 Xin Wang, et al. ∙

research

∙ 05/04/2022

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

Discovering latent topics from text corpora has been studied for decades...

0 Yu Zhang, et al. ∙

research

∙ 04/06/2022

Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis

When deep neural network (DNN) was first introduced to the medical image...

54 Sheng Wang, et al. ∙

research

∙ 03/10/2022

Devouring the Leader Bottleneck in BFT Consensus

There is a resurgence of interest in Byzantine fault-tolerant (BFT) syst...

0 Fangyu Gai, et al. ∙

research

∙ 02/15/2022

Estimating risks of option books using neural-SDE market models

In this paper, we examine the capacity of an arbitrage-free neural-SDE m...

0 Samuel N. Cohen, et al. ∙

research

∙ 01/14/2022

Adaptive Transfer Learning for Plant Phenotyping

Plant phenotyping (Guo et al. 2021; Pieruschka et al. 2019) focuses on s...

0 Jun Wu, et al. ∙

research

∙ 01/12/2022

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution

Knee osteoarthritis (OA) is the most common osteoarthritis and a leading...

7 Zixu Zhuang, et al. ∙

research

∙ 11/30/2021

SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification

With the increasingly available large-scale cancer genomics datasets, ma...

0 Tong Chen, et al. ∙

research

∙ 11/21/2021

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Lesion detection is a fundamental problem in the computer-aided diagnosi...

0 Zheren Li, et al. ∙

research

∙ 11/08/2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Medical report generation, which aims to automatically generate a long a...

17 Fenglin Liu, et al. ∙

research

∙ 09/25/2021

Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion

Registration of brain MRI images requires to solve a deformation field, ...

2 Jinxin Lv, et al. ∙

research

∙ 09/09/2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation

Precisely defining the terminology is the first step in scientific commu...

11 Zequn Liu, et al. ∙

research

∙ 08/12/2021

UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing

Recent research has witnessed advances in facial image editing tasks inc...

7 Meng Cao, et al. ∙

research

∙ 05/24/2021

Arbitrage-free neural-SDE market models

Modelling joint dynamics of liquid vanilla options is crucial for arbitr...

0 Samuel N. Cohen, et al. ∙

research

∙ 05/11/2021

EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models

Accurate protein structure prediction from amino-acid sequences is criti...

0 Jiaxiang Wu, et al. ∙

research

∙ 05/10/2021

tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement

Proteins structure prediction has long been a grand challenge over the p...

0 Liangzhen Zheng, et al. ∙

research

∙ 04/22/2021

An Online Scheduling Algorithm for Energy Minimization in Wireless Powered Mobile Edge Computing Networks

The integration of Mobile Edge Computing (MEC) and Wireless Power Transf...

0 Xingqiu He, et al. ∙

research

∙ 03/30/2021

Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand

In this paper, we make a first attempt to incorporate both commuting dem...

0 Sheng Wang, et al. ∙

research

∙ 03/08/2021

The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data

Learned indices have been proposed to replace classic index structures l...

0 Tu Gu, et al. ∙

research

∙ 10/13/2020

On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection

This paper presents a thorough evaluation of the existing methods that a...

0 Sheng Wang, et al. ∙

research

∙ 10/12/2020

High-Fidelity 3D Digital Human Creation from RGB-D Selfies

We present a fully automatic system that can produce high-fidelity, phot...

10 Xiangkai Lin, et al. ∙

research

∙ 07/29/2020

Boosting Ant Colony Optimization via Solution Prediction and Machine Learning

This paper introduces an enhanced meta-heuristic (ML-ACO) that combines ...

0 Yuan Sun, et al. ∙

research

∙ 07/07/2020

SaADB: A Self-attention Guided ADB Network for Person Re-identification

Recently, Batch DropBlock network (BDB) has demonstrated its effectivene...

0 Bo Jiang, et al. ∙

research

∙ 07/03/2020

Task-agnostic Temporally Consistent Facial Video Editing

Recent research has witnessed the advances in facial image editing tasks...

0 Meng Cao, et al. ∙

research

∙ 05/25/2020

mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography

Computer-aided diagnosis with deep learning techniques has been shown to...

9 Sheng Wang, et al. ∙

Sheng Wang

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