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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...
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04/21/2023
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
It is widely acknowledged that large models have the potential to delive...
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04/02/2023
Multimodal Hyperspectral Image Classification via Interconnected Fusion
Existing multiple modality fusion methods, such as concatenation, summat...
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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-...
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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, ...
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03/02/2023
BenchDirect: A Directed Language Model for Compiler Benchmarks
The exponential increase of hardware-software complexity has made it imp...
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10/25/2022
Confidence-Calibrated Face and Kinship Verification
In this paper, we investigate the problem of predictive confidence in fa...
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09/10/2022
A generic framework for coded caching and distributed computation schemes
Several network communication problems are highly related such as coded ...
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08/13/2022
BenchPress: A Deep Active Benchmark Generator
We develop BenchPress, the first ML benchmark generator for compilers th...
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06/11/2022
Network Function Computation With Different Secure Conditions
In this paper, we investigate function computation problems under differ...
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05/26/2022
Deep Active Learning with Noise Stability
Uncertainty estimation for unlabeled data is crucial to active learning....
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05/19/2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
The great success of deep learning heavily relies on increasingly larger...
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03/24/2022
Random Matrix Time Series
In this paper, a time series model with coefficients that take values fr...
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03/18/2022
SHREC 2021: Classification in cryo-electron tomograms
Cryo-electron tomography (cryo-ET) is an imaging technique that allows t...
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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 ...
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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...
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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...
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12/10/2021
Boosting Active Learning via Improving Test Performance
Central to active learning (AL) is what data should be selected for anno...
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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...
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10/06/2021
Objects in Semantic Topology
A more realistic object detection paradigm, Open-World Object Detection,...
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09/13/2021
Single-Target Real-Time Passive WiFi Tracking
Device-free human tracking is an essential ingredient for ubiquitous wir...
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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...
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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 ...
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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...
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03/08/2021
Enhancing Transformation-based Defenses against Adversarial Examples with First-Order Perturbations
Studies show that neural networks are susceptible to adversarial attacks...
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03/02/2021
Self-supervised Pretraining of Visual Features in the Wild
Recently, self-supervised learning methods like MoCo, SimCLR, BYOL and S...
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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...
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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...
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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...
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02/20/2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks
Graph convolutional networks have been successfully applied in various g...
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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...
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01/16/2021
Free Lunch for Few-shot Learning: Distribution Calibration
Learning from a limited number of samples is challenging since the learn...
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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...
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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...
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07/27/2020
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
Diabetic Retinopathy (DR) is a leading cause of blindness in working age...
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05/18/2020
Inference on the History of a Randomly Growing Tree
The spread of infectious disease in a human community or the proliferati...
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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 ...
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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...
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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 ...
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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...
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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...
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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...
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08/30/2019
MURS: Practical and Robust Privacy Amplification with Multi-Party Differential Privacy
When collecting information, local differential privacy (LDP) alleviates...
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08/30/2019
Practical and Robust Privacy Amplification with Multi-Party Differential Privacy
When collecting information, local differential privacy (LDP) alleviates...
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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...
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03/14/2019
High-dimensional nonparametric density estimation via symmetry and shape constraints
We tackle the problem of high-dimensional nonparametric density estimati...
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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...
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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...
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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...
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05/12/2018