b'Yi Li'

research

∙ 07/17/2022

CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement

While category-level 9DoF object pose estimation has emerged recently, p...

Xingyu Liu, et al. ∙

research

∙ 07/17/2022

Streaming Algorithms with Large Approximation Factors

We initiate a broad study of classical problems in the streaming model w...

Yi Li, et al. ∙

research

∙ 07/13/2022

Online Active Regression

Active regression considers a linear regression problem where the learne...

Cheng Chen, et al. ∙

research

∙ 06/14/2022

Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

Developing an AI-assisted gland segmentation method from histology image...

Yi Li, et al. ∙

research

∙ 06/10/2022

Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech Denoising and Dereverberation

Self-supervised learning (SSL) achieves great success in monaural speech...

Yi Li, et al. ∙

research

∙ 05/31/2022

A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models

We consider a class of Cox models with time-dependent effects that may b...

Yuan Yang, et al. ∙

research

∙ 05/31/2022

VALHALLA: Visual Hallucination for Machine Translation

Designing better machine translation systems by considering auxiliary in...

Yi Li, et al. ∙

research

∙ 05/24/2022

UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation

As an essential prerequisite for developing a medical intelligent assist...

Ledan Qian, et al. ∙

research

∙ 05/21/2022

Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates

Gaussian graphical regression is a powerful means that regresses the pre...

Jingfei Zhang, et al. ∙

research

∙ 05/07/2022

Individualized Risk Assessment of Preoperative Opioid Use by Interpretable Neural Network Regression

Preoperative opioid use has been reported to be associated with higher p...

Yuming Sun, et al. ∙

research

∙ 05/05/2022

High-Dimensional Survival Analysis: Methods and Applications

In the era of precision medicine, time-to-event outcomes such as time to...

Stephen Salerno, et al. ∙

research

∙ 05/04/2022

DEAR: A Novel Deep Learning-based Approach for Automated Program Repair

The existing deep learning (DL)-based automated program repair (APR) mod...

Yi Li, et al. ∙

research

∙ 04/13/2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Lung cancer is the leading cause of cancer death worldwide, and adenocar...

Chu Han, et al. ∙

research

∙ 03/25/2022

Unsupervised Image Deraining: Optimization Model Driven Deep CNN

The deep convolutional neural network has achieved significant progress ...

Changfeng Yu, et al. ∙

research

∙ 03/23/2022

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation

The goal of recommender systems is to provide ordered item lists to user...

Yi Li, et al. ∙

research

∙ 03/01/2022

Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface

Specialized accelerators are increasingly used to meet the power-perform...

Bo-Yuan Huang, et al. ∙

research

∙ 02/20/2022

Tight Bounds for Sketching the Operator Norm, Schatten Norms, and Subspace Embeddings

We consider the following oblivious sketching problem: given ϵ∈ (0,1/3) ...

Yi Li, et al. ∙

research

∙ 12/21/2021

Self-Supervised Learning based Monaural Speech Enhancement with Multi-Task Pre-Training

In self-supervised learning, it is challenging to reduce the gap between...

Yi Li, et al. ∙

research

∙ 12/21/2021

Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent

Recently, self-supervised learning (SSL) techniques have been introduced...

Yi Li, et al. ∙

research

∙ 12/21/2021

Lower Bounds for Sparse Oblivious Subspace Embeddings

An oblivious subspace embedding (OSE), characterized by parameters m,n,d...

Yi Li, et al. ∙

research

∙ 12/14/2021

Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation

Weakly-Supervised Semantic Segmentation (WSSS) segments objects without ...

Yi Li, et al. ∙

research

∙ 12/11/2021

U-shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement

The state-of-the-art speech enhancement has limited performance in speec...

Yi Li, et al. ∙

research

∙ 12/09/2021

Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement

As a category of transfer learning, domain adaptation plays an important...

Yi Li, et al. ∙

research

∙ 10/10/2021

BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning

Social distancing, an essential public health measure to limit the sprea...

Zhirui Dai, et al. ∙

research

∙ 10/09/2021

De-biased Lasso for Generalized Linear Models with A Diverging Number of Covariates

Modeling and drawing inference on the joint associations between single ...

Lu Xia, et al. ∙

research

∙ 08/23/2021

The Product of Gaussian Matrices is Close to Gaussian

We study the distribution of the matrix product G_1 G_2 ⋯ G_r of r indep...

Yi Li, et al. ∙

research

∙ 08/17/2021

Learning to Cluster via Same-Cluster Queries

We study the problem of learning to cluster data points using an oracle ...

Yi Li, et al. ∙

research

∙ 07/22/2021

Inference for High Dimensional Censored Quantile Regression

With the availability of high dimensional genetic biomarkers, it is of i...

Zhe Fei, et al. ∙

research

∙ 07/16/2021

Single Pass Entrywise-Transformed Low Rank Approximation

In applications such as natural language processing or computer vision, ...

Yifei Jiang, et al. ∙

research

∙ 07/12/2021

Deep-learning-based Hyperspectral imaging through a RGB camera

Hyperspectral image (HSI) contains both spatial pattern and spectral inf...

Xinyu Gao, et al. ∙

research

∙ 07/09/2021

Blending search queries with social media data to improve forecasts of economic indicators

The forecasting of political, economic, and public health indicators usi...

Yi Li, et al. ∙

research

∙ 06/20/2021

Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method

A new learning paradigm, self-supervised learning (SSL), can be used to ...

Haifeng Li, et al. ∙

research

∙ 06/19/2021

Vulnerability Detection with Fine-grained Interpretations

Despite the successes of machine learning (ML) and deep learning (DL) ba...

Yi Li, et al. ∙

research

∙ 06/06/2021

Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of Covariates

For statistical inference on regression models with a diverging number o...

Lu Xia, et al. ∙

research

∙ 05/20/2021

Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

Background: Extensive clinical evidence suggests that a preventive scree...

Jingyi Zhang, et al. ∙

research

∙ 05/07/2021

More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation

Feature alignment between domains is one of the mainstream methods for U...

Shuang Wang, et al. ∙

research

∙ 04/27/2021

Exponentially Improved Dimensionality Reduction for ℓ_1: Subspace Embeddings and Independence Testing

Despite many applications, dimensionality reduction in the ℓ_1-norm is m...

Yi Li, et al. ∙

research

∙ 04/15/2021

Learn an index operator by CNN for solving diffusive optical tomography: a deep direct sampling method

In this work, we investigate the diffusive optical tomography (DOT) prob...

Jiahua Jiang, et al. ∙

research

∙ 02/27/2021

Fault Localization with Code Coverage Representation Learning

In this paper, we propose DeepRL4FL, a deep learning fault localization ...

Yi Li, et al. ∙

research

∙ 02/27/2021

A Context-based Automated Approach for Method Name Consistency Checking and Suggestion

Misleading method names in software projects can confuse developers, whi...

Yi Li, et al. ∙

research

∙ 02/24/2021

Learning-Augmented Sketches for Hessians

Sketching is a dimensionality reduction technique where one compresses a...

Yi Li, et al. ∙

research

∙ 12/31/2020

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

This paper presents the development of machine learning-enabled data-dri...

Kailong Liu, et al. ∙

research

∙ 11/10/2020

Gaussian Graphical Regression Models with High Dimensional Responses and Covariates

Though Gaussian graphical models have been widely used in many scientifi...

Jingfei Zhang, et al. ∙

research

∙ 11/08/2020

Semiparametric regression of mean residual life with censoring and covariate dimension reduction

We propose a new class of semiparametric regression models of mean resid...

Ge Zhao, et al. ∙

research

∙ 11/03/2020

Learning Representations from Audio-Visual Spatial Alignment

We introduce a novel self-supervised pretext task for learning represent...

Pedro Morgado, et al. ∙

research

∙ 08/25/2020

An Adversarial Attack Defending System for Securing In-Vehicle Networks

In a modern vehicle, there are over seventy Electronics Control Units (E...

Yi Li, et al. ∙

research

∙ 08/06/2020

A Survey of Smart Contract Formal Specification and Verification

A smart contract is a computer program which allows users to define and ...

Palina Tolmach, et al. ∙

research

∙ 08/05/2020

Expected Size of Random Tukey Layers and Convex Layers

We study the Tukey layers and convex layers of a planar point set, which...

Zhengyang Guo, et al. ∙

research

∙ 08/05/2020

Bayesian Survival Analysis Using Gamma Processes with Adaptive Time Partition

In Bayesian semi-parametric analyses of time-to-event data, non-parametr...

Yi Li, et al. ∙

research

∙ 07/07/2020

Streaming Complexity of SVMs

We study the space complexity of solving the bias-regularized SVM proble...

Alexandr Andoni, et al. ∙

Yi Li

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