b'Min Xu'

research

∙ 09/12/2023

Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation

In this paper, we introduce a novel semi-supervised learning framework t...

0 Yixing Lu, et al. ∙

research

∙ 04/21/2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

It is widely acknowledged that large models have the potential to delive...

0 Yanli Zhao, et al. ∙

research

∙ 04/02/2023

Multimodal Hyperspectral Image Classification via Interconnected Fusion

Existing multiple modality fusion methods, such as concatenation, summat...

0 Lu Huo, et al. ∙

research

∙ 03/22/2023

BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency

As one of the most fundamental techniques in multimodal learning, cross-...

0 Shuo Yang, et al. ∙

research

∙ 03/03/2023

Rate adaptive estimation of the center of a symmetric distribution

Given univariate random variables Y_1, …, Y_n with the Uniform(θ_0 - 1, ...

0 Yu-Chun Kao, et al. ∙

research

∙ 03/02/2023

BenchDirect: A Directed Language Model for Compiler Benchmarks

The exponential increase of hardware-software complexity has made it imp...

0 Foivos Tsimpourlas, et al. ∙

research

∙ 10/25/2022

Confidence-Calibrated Face and Kinship Verification

In this paper, we investigate the problem of predictive confidence in fa...

0 Min Xu, et al. ∙

research

∙ 09/10/2022

A generic framework for coded caching and distributed computation schemes

Several network communication problems are highly related such as coded ...

0 Min Xu, et al. ∙

research

∙ 08/13/2022

BenchPress: A Deep Active Benchmark Generator

We develop BenchPress, the first ML benchmark generator for compilers th...

0 Foivos Tsimpourlas, et al. ∙

research

∙ 06/11/2022

Network Function Computation With Different Secure Conditions

In this paper, we investigate function computation problems under differ...

0 Min Xu, et al. ∙

research

∙ 05/26/2022

Deep Active Learning with Noise Stability

Uncertainty estimation for unlabeled data is crucial to active learning....

0 Xingjian Li, et al. ∙

research

∙ 05/19/2022

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

The great success of deep learning heavily relies on increasingly larger...

104 Shuo Yang, et al. ∙

research

∙ 03/24/2022

Random Matrix Time Series

In this paper, a time series model with coefficients that take values fr...

0 Peiyuan Teng, et al. ∙

research

∙ 03/18/2022

SHREC 2021: Classification in cryo-electron tomograms

Cryo-electron tomography (cryo-ET) is an imaging technique that allows t...

0 Ilja Gubins, et al. ∙

research

∙ 03/13/2022

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning

Heatmap regression methods have dominated face alignment area in recent ...

0 Jiahao Xia, et al. ∙

research

∙ 03/03/2022

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification

Nuclei segmentation and classification is the first and most crucial ste...

0 Hussam Azzuni, et al. ∙

research

∙ 12/21/2021

Distribution-aware Margin Calibration for Semantic Segmentation in Images

The Jaccard index, also known as Intersection-over-Union (IoU), is one o...

0 Litao Yu, et al. ∙

research

∙ 12/10/2021

Boosting Active Learning via Improving Test Performance

Central to active learning (AL) is what data should be selected for anno...

0 Tianyang Wang, et al. ∙

research

∙ 11/17/2021

Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization

Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enabl...

1 Hmrishav Bandyopadhyay, et al. ∙

research

∙ 10/06/2021

Objects in Semantic Topology

A more realistic object detection paradigm, Open-World Object Detection,...

0 Shuo Yang, et al. ∙

research

∙ 09/13/2021

Single-Target Real-Time Passive WiFi Tracking

Device-free human tracking is an essential ingredient for ubiquitous wir...

0 Zhongqin Wang, et al. ∙

research

∙ 08/16/2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction

Diabetes prediction is an important data science application in the soci...

10 Mingcheng Chen, et al. ∙

research

∙ 07/01/2021

Root and community inference on the latent growth process of a network using noisy attachment models

We introduce the PAPER (Preferential Attachment Plus Erdős–Rényi) model ...

0 Harry Crane, et al. ∙

research

∙ 03/13/2021

An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking

While convolutional neural networks (CNNs) have significantly boosted th...

40 Jiahao Xia, et al. ∙

research

∙ 03/08/2021

Enhancing Transformation-based Defenses against Adversarial Examples with First-Order Perturbations

Studies show that neural networks are susceptible to adversarial attacks...

0 Haimin Zhang, et al. ∙

research

∙ 03/02/2021

Self-supervised Pretraining of Visual Features in the Wild

Recently, self-supervised learning methods like MoCo, SimCLR, BYOL and S...

0 Priya Goyal, et al. ∙

research

∙ 02/25/2021

Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites

COVID-19 has hit hard on the global community, and organizations are wor...

0 Mir Mehedi Ahsan Pritom, et al. ∙

research

∙ 02/25/2021

Characterizing the Landscape of COVID-19 Themed Cyberattacks and Defenses

COVID-19 (Coronavirus) hit the global society and economy with a big sur...

0 Mir Mehedi Ahsan Pritom, et al. ∙

research

∙ 02/24/2021

Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography

Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool t...

6 Xuefeng Du, et al. ∙

research

∙ 02/20/2021

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks

Graph convolutional networks have been successfully applied in various g...

0 Haimin Zhang, et al. ∙

research

∙ 01/20/2021

A Visual Analytics Approach to Facilitate the Proctoring of Online Exams

Online exams have become widely used to evaluate students' performance i...

0 Haotian Li, et al. ∙

research

∙ 01/16/2021

Free Lunch for Few-shot Learning: Distribution Calibration

Learning from a limited number of samples is challenging since the learn...

0 Shuo Yang, et al. ∙

research

∙ 11/28/2020

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels

The data-driven nature of deep learning models for semantic segmentation...

15 Nanqing Dong, et al. ∙

research

∙ 10/02/2020

Weight Encode Reconstruction Network for Computed Tomography in a Semi-Case-Wise and Learning-Based Way

Classic algebraic reconstruction technology (ART) for computed tomograph...

22 Hujie Pan, et al. ∙

research

∙ 07/27/2020

Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning

Diabetic Retinopathy (DR) is a leading cause of blindness in working age...

48 Qiqi Xiao, et al. ∙

research

∙ 05/18/2020

Inference on the History of a Randomly Growing Tree

The spread of infectious disease in a human community or the proliferati...

0 Harry Crane, et al. ∙

research

∙ 03/17/2020

SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking

Although deep neural networks (DNNs) have achieved fantastic success in ...

13 Yihao Luo, et al. ∙

research

∙ 03/08/2020

Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory

3D shape reconstruction from a single-view RGB image is an ill-posed pro...

6 Shuo Yang, et al. ∙

research

∙ 11/08/2019

AITom: Open-source AI platform for cryo-electron Tomography data analysis

Cryo-electron tomography (cryo-ET) is an emerging technology for the 3D ...

0 Xiangrui Zeng, et al. ∙

research

∙ 10/05/2019

A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis

We developed a deep learning model-based system to automatically generat...

31 Wei Wu, et al. ∙

research

∙ 09/10/2019

Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection

Recent saliency models extensively explore to incorporate multi-scale co...

9 Yingyue Xu, et al. ∙

research

∙ 09/07/2019

Visual Analytics of Student Learning Behaviors on K-12 Mathematics E-learning Platforms

With increasing popularity in online learning, a surge of E-learning pla...

0 Meng Xia, et al. ∙

research

∙ 08/30/2019

MURS: Practical and Robust Privacy Amplification with Multi-Party Differential Privacy

When collecting information, local differential privacy (LDP) alleviates...

0 Tianhao Wang, et al. ∙

research

∙ 08/30/2019

Practical and Robust Privacy Amplification with Multi-Party Differential Privacy

When collecting information, local differential privacy (LDP) alleviates...

0 Tianhao Wang, et al. ∙

research

∙ 08/27/2019

Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography

Deep learning model trained by imbalanced data may not work satisfactori...

18 Ziqian Luo, et al. ∙

research

∙ 03/14/2019

High-dimensional nonparametric density estimation via symmetry and shape constraints

We tackle the problem of high-dimensional nonparametric density estimati...

0 Min Xu, et al. ∙

research

∙ 06/11/2018

Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization

Motivated by the observation that humans can learn patterns from two giv...

2 Haimin Zhang, et al. ∙

research

∙ 05/31/2018

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations

The convolutional neural network (CNN) has become a powerful tool for va...

2 Guannan Zhao, et al. ∙

research

∙ 05/16/2018

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography

Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool f...

2 Chang Liu, et al. ∙

research

∙ 05/12/2018

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching

Cellular Electron CryoTomography (CECT) is a 3D imaging technique that c...

0 Kai Wen Wang, et al. ∙

Min Xu

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