b'Ke Zhang'

research

∙ 09/13/2023

Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients

Objective: Neoadjuvant chemotherapy (NACT) is one kind of treatment for ...

0 Ke Zhang, et al. ∙

research

∙ 08/17/2023

ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection

We propose ImGeoNet, a multi-view image-based 3D object detection framew...

0 Tao Tu, et al. ∙

research

∙ 05/13/2023

Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training

In recent years, the growing demand for medical imaging diagnosis has pl...

0 Ke Zhang, et al. ∙

research

∙ 05/02/2023

Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS

Accurately predicting the performance of architecture with small sample ...

0 Ke Zhang, et al. ∙

research

∙ 04/04/2023

DLRover: An Elastic Deep Training Extension with Auto Job Resource Recommendation

The cloud is still a popular platform for distributed deep learning (DL)...

0 Qinlong Wang, et al. ∙

research

∙ 03/28/2023

Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to Chemotherapy

2D and 3D tumor features are widely used in a variety of medical image a...

0 Neman Abdoli, et al. ∙

research

∙ 01/12/2023

ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation

Curating a large scale fully-annotated dataset can be both labour-intens...

0 Ke Zhang, et al. ∙

research

∙ 01/08/2023

CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations

To improve the generalization of 3D human pose estimators, many existing...

0 Cheng-Yen Yang, et al. ∙

research

∙ 12/20/2022

Multi-head Uncertainty Inference for Adversarial Attack Detection

Deep neural networks (DNNs) are sensitive and susceptible to tiny pertur...

0 Yuqi Yang, et al. ∙

research

∙ 12/20/2022

BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics

The proliferation of automatic faithfulness metrics for summarization ha...

0 Liang Ma, et al. ∙

research

∙ 11/06/2022

MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images

Myocardial pathology segmentation (MyoPS) can be a prerequisite for the ...

0 Junyi Qiu, et al. ∙

research

∙ 10/25/2022

CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization

Social media has increasingly played a key role in emergency response: f...

0 Hossein Rajaby Faghihi, et al. ∙

research

∙ 06/29/2022

Mapping the Design Space of Human-AI Interaction in Text Summarization

Automatic text summarization systems commonly involve humans for prepari...

0 Ruijia Cheng, et al. ∙

research

∙ 06/21/2022

Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms

Deep convolutional neural networks (CNNs) have been widely used in vario...

0 Xuxin Chen, et al. ∙

research

∙ 06/18/2022

Deep Compatible Learning for Partially-Supervised Medical Image Segmentation

Partially-supervised learning can be challenging for segmentation due to...

0 Ke Zhang, et al. ∙

research

∙ 06/13/2022

An Exploration of Post-Editing Effectiveness in Text Summarization

Automatic summarization methods are efficient but can suffer from low qu...

6 Vivian Lai, et al. ∙

research

∙ 06/05/2022

ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation

Cardiac segmentation is an essential step for the diagnosis of cardiovas...

0 Ke Zhang, et al. ∙

research

∙ 04/18/2022

Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images

Carotid arteries vulnerable plaques are a crucial factor in the screenin...

13 Yanchao Yuan, et al. ∙

research

∙ 03/15/2022

InsCon:Instance Consistency Feature Representation via Self-Supervised Learning

Feature representation via self-supervised learning has reached remarkab...

0 Junwei Yang, et al. ∙

research

∙ 03/13/2022

CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data

Data augmentation has been proved effective in training deep models. Exi...

0 Ke Zhang, et al. ∙

research

∙ 03/03/2022

CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

Curating a large set of fully annotated training data can be costly, esp...

0 Ke Zhang, et al. ∙

research

∙ 03/02/2022

Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction

As industrial systems become more complex and monitoring sensors for eve...

0 Fan Jin, et al. ∙

research

∙ 01/25/2022

Virtual Adversarial Training for Semi-supervised Breast Mass Classification

This study aims to develop a novel computer-aided diagnosis (CAD) scheme...

0 Xuxin Chen, et al. ∙

research

∙ 01/19/2022

TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape Retrieval

Recent work on contrastive losses for learning joint embeddings over mul...

0 Yue Ruan, et al. ∙

research

∙ 10/08/2021

Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation

With the increase in the number of image data and the lack of correspond...

0 Ke Zhang, et al. ∙

research

∙ 06/25/2021

Subgraph Federated Learning with Missing Neighbor Generation

Graphs have been widely used in data mining and machine learning due to ...

9 Ke Zhang, et al. ∙

research

∙ 06/09/2021

A Review of Human Evaluation for Style Transfer

This paper reviews and summarizes human evaluation practices described i...

0 Eleftheria Briakou, et al. ∙

research

∙ 05/27/2021

Recent advances and clinical applications of deep learning in medical image analysis

Deep learning has become the mainstream technology in computer vision, a...

0 Xuxin Chen, et al. ∙

research

∙ 05/12/2021

Structure Guided Lane Detection

Recently, lane detection has made great progress with the rapid developm...

6 Jinming Su, et al. ∙

research

∙ 04/08/2021

XFORMAL: A Benchmark for Multilingual Formality Style Transfer

We take the first step towards multilingual style transfer by creating a...

0 Eleftheria Briakou, et al. ∙

research

∙ 03/20/2021

Compacting Deep Neural Networks for Internet of Things: Methods and Applications

Deep Neural Networks (DNNs) have shown great success in completing compl...

0 Ke Zhang, et al. ∙

research

∙ 11/17/2020

Anatomy Prior Based U-net for Pathology Segmentation with Attention

Pathological area segmentation in cardiac magnetic resonance (MR) images...

0 Yuncheng Zhou, et al. ∙

research

∙ 11/17/2020

Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks

In this paper, we study the problem of imaging orientation in cardiac MR...

0 Ke Zhang, et al. ∙

research

∙ 11/17/2020

Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks

Vehicular Edge Computing (VEC) is a promising paradigm to enable huge am...

0 Yueyue Dai, et al. ∙

research

∙ 11/17/2020

Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond

5G beyond is an end-edge-cloud orchestrated network that can exploit het...

0 Yueyue Dai, et al. ∙

research

∙ 11/17/2020

Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks

The rapid development of Industrial Internet of Things (IIoT) requires i...

0 Yueyue Dai, et al. ∙

research

∙ 11/17/2020

Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks

Emerging technologies such as digital twins and 6th Generation mobile ne...

0 Yunlong Lu, et al. ∙

research

∙ 09/09/2020

MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism

Facial attribute editing has mainly two objectives: 1) translating image...

5 Ke Zhang, et al. ∙

research

∙ 04/15/2020

A novel method for constructing high accurate and robust WENO-Z type scheme

A novel method for constructing robust and high-order accurate weighted ...

0 Yiqing Shen, et al. ∙

research

∙ 02/13/2020

Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach

Multi-vehicle routing problem with soft time windows (MVRPSTW) is an ind...

3 Ke Zhang, et al. ∙

research

∙ 01/17/2020

Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines

Bolts are the most numerous fasteners in transmission lines and are pron...

13 Zhenbing Zhao, et al. ∙

research

∙ 12/12/2019

DeepAuto: A Hierarchical Deep Learning Framework for Real-Time Prediction in Cellular Networks

Accurate real-time forecasting of key performance indicators (KPIs) is a...

0 Abhijeet Bhorkar, et al. ∙

research

∙ 09/17/2019

Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning

Controlling output length in neural language generation is valuable in m...

0 Junyi Bian, et al. ∙

research

∙ 08/01/2019

A Hessenberg-type Algorithm for Computing PageRank Problems

PageRank is a greatly essential ranking algorithm in web information ret...

0 Xian-Ming Gu, et al. ∙

research

∙ 07/31/2019

Competing Ratio Loss for Discriminative Multi-class Image Classification

The development of deep convolutional neural network architecture is cri...

2 Ke Zhang, et al. ∙

research

∙ 06/11/2019

Hybrid Function Sparse Representation towards Image Super Resolution

Sparse representation with training-based dictionary has been shown succ...

0 Junyi Bian, et al. ∙

research

∙ 08/23/2018

Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks

The fifth generation of cellular networks (5G) will rely on edge cloud d...

0 Michele Polese, et al. ∙

research

∙ 05/26/2018

Fine-Grained Age Estimation in the wild with Attention LSTM Networks

Age estimation from a single face image has been an essential task in th...

0 Ke Zhang, et al. ∙

research

∙ 02/05/2018

The Sea Exploration Problem: Data-driven Orienteering on a Continuous Surface

This paper describes a problem arising in sea exploration, where the aim...

0 João Pedro Pedroso, et al. ∙

research

∙ 10/09/2017

Age Group and Gender Estimation in the Wild with Deep RoR Architecture

Automatically predicting age group and gender from face images acquired ...

0 Ke Zhang, et al. ∙

Ke Zhang

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