b'Jin Liu'

research

∙ 05/05/2023

Adaptive Graph Convolutional Subspace Clustering

Spectral-type subspace clustering algorithms have shown excellent perfor...

0 Lai Wei, et al. ∙

research

∙ 04/26/2023

FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models

In a vertical federated learning (VFL) system consisting of a central se...

0 Songze Li, et al. ∙

research

∙ 03/28/2023

Joint embedding in Hierarchical distance and semantic representation learning for link prediction

The link prediction task aims to predict missing entities or relations i...

0 Jin Liu, et al. ∙

research

∙ 03/22/2023

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

The task of repository-level code completion is to continue writing the ...

0 Fengji Zhang, et al. ∙

research

∙ 03/03/2023

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery

Multi-modal integration and classification based on graph learning is am...

0 Junbin Mao, et al. ∙

research

∙ 02/07/2023

Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes and Latent Classes: The R package NonLinearCurve

We introduce R package NonLinearCurve that provides a series of function...

0 Jin Liu, et al. ∙

research

∙ 01/15/2023

Further Exploration of the Effects of Time-varying Covariate in Growth Mixture Models with Nonlinear Trajectories

Growth mixture modeling (GMM) is an analytical tool for identifying mult...

0 Jin Liu, et al. ∙

research

∙ 12/05/2022

AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series

The order-preserving pattern mining can be regarded as discovering frequ...

0 Yan Li, et al. ∙

research

∙ 10/30/2022

Decomposing Impact on Longitudinal Outcome of Time-varying Covariate into Trait Effect and State Effect

Developmental processes are often associated with each other over time; ...

0 Jin Liu, et al. ∙

research

∙ 10/03/2022

Inference on High-dimensional Single-index Models with Streaming Data

Traditional statistical methods are faced with new challenges due to str...

0 Dongxiao Han, et al. ∙

research

∙ 08/24/2022

Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer

Stack Overflow is one of the most popular programming communities where ...

0 Fengji Zhang, et al. ∙

research

∙ 08/12/2022

Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation

Segmenting dental plaque from images of medical reagent staining provide...

13 Jian Shi, et al. ∙

research

∙ 08/08/2022

A Frequency-aware Software Cache for Large Recommendation System Embeddings

Deep learning recommendation models (DLRMs) have been widely applied in ...

0 Jiarui Fang, et al. ∙

research

∙ 07/02/2022

Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency

The knowledge graph (KG) stores a large amount of structural knowledge, ...

0 Jin Liu, et al. ∙

research

∙ 05/04/2022

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

Recent years have witnessed increasing interest in code representation l...

0 Xin Wang, et al. ∙

research

∙ 04/07/2022

Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder

The development of noninvasive brain imaging such as resting-state funct...

0 Fangyu Zhang, et al. ∙

research

∙ 04/02/2022

MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation

Accurately detecting Alzheimer's disease (AD) and predicting mini-mental...

0 Xu Tian, et al. ∙

research

∙ 01/03/2022

Estimating Rate of Change for nonlinear Trajectories in the Framework of Individual Measurement Occasions: A New Perspective of Growth Curves

Researchers are interested in employing longitudinal data analysis to ex...

0 Jin Liu, et al. ∙

research

∙ 11/29/2021

MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph

Knowledge graphs (KGs) on COVID-19 have been constructed to accelerate t...

0 Weichuan Wang, et al. ∙

research

∙ 10/19/2021

A Deep Generative Approach to Conditional Sampling

We propose a deep generative approach to sampling from a conditional dis...

0 Xingyu Zhou, et al. ∙

research

∙ 09/23/2021

Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching

Satellite multi-view stereo (MVS) imagery is particularly suited for lar...

0 Jian Gao, et al. ∙

research

∙ 08/10/2021

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Code representation learning, which aims to encode the semantics of sour...

0 Xin Wang, et al. ∙

research

∙ 07/18/2021

Assessing Mediational Processes in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions

Multiple existing studies have developed multivariate growth models with...

0 Jin Liu, et al. ∙

research

∙ 07/05/2021

Extending Latent Basis Growth Model to Explore Joint Development in the Framework of Individual Measurement Occasions

Longitudinal processes in multiple domains are often theorized to be non...

0 Jin Liu, et al. ∙

research

∙ 06/21/2021

Schrödinger-Föllmer Sampler: Sampling without Ergodicity

Sampling from probability distributions is an important problem in stati...

0 Jian Huang, et al. ∙

research

∙ 04/07/2021

LI-Net: Large-Pose Identity-Preserving Face Reenactment Network

Face reenactment is a challenging task, as it is difficult to maintain a...

0 Jin Liu, et al. ∙

research

∙ 04/05/2021

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

The software inevitably encounters the crash, which will take developers...

0 Kunsong Zhao, et al. ∙

research

∙ 03/31/2021

DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time

Myocardial Infarction (MI) has the highest mortality of all cardiovascul...

0 Girmaw Abebe Tadesse, et al. ∙

research

∙ 02/27/2021

Jenss-Bayley Latent Change Score Model with Individual Ratio of Growth Acceleration in the Framework of Individual Measurement Occasions

Longitudinal analysis has been widely employed to examine between-indivi...

0 Jin Liu, et al. ∙

research

∙ 12/23/2020

Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction

Human motion prediction is an essential part for human-robot collaborati...

0 Jin Liu, et al. ∙

research

∙ 12/21/2020

Two-directional simultaneous inference for high-dimensional models

This paper proposes a general two directional simultaneous inference (TO...

0 Wei Liu, et al. ∙

research

∙ 12/11/2020

Generative Learning With Euler Particle Transport

We propose an Euler particle transport (EPT) approach for generative lea...

22 Yuan Gao, et al. ∙

research

∙ 10/23/2020

A Parallel Process Growth Mixture Model to Examine Heterogeneity in Joint Development with Nonlinear Trajectories

Researchers are interested in uncovering heterogeneity in change pattern...

0 Jin Liu, et al. ∙

research

∙ 09/01/2020

Accounting for correlated horizontal pleiotropy in two-sample Mendelian randomization using correlated instrumental variants

Mendelian randomization (MR) is a powerful approach to examine the causa...

0 Qing Cheng, et al. ∙

research

∙ 07/05/2020

Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where and How to Add Which Covariates

Researchers are usually interested in examining the impact of covariates...

0 Jin Liu, et al. ∙

research

∙ 06/10/2020

Deep Dimension Reduction for Supervised Representation Learning

The success of deep supervised learning depends on its automatic data re...

37 Jian Huang, et al. ∙

research

∙ 04/07/2020

Estimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions

Latent growth curve models with spline functions are flexible and access...

0 Jin Liu, et al. ∙

research

∙ 03/02/2020

A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset

A great deal of research has demonstrated recently that multi-view stere...

0 Jin Liu, et al. ∙

research

∙ 02/07/2020

Learning Implicit Generative Models with Theoretical Guarantees

We propose a unified framework for implicit generative modeling (UnifiGe...

0 Yuan Gao, et al. ∙

research

∙ 01/27/2020

On Newton Screening

Screening and working set techniques are important approaches to reducin...

0 Jian Huang, et al. ∙

research

∙ 01/16/2020

A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models

Feature selection is important for modeling high-dimensional data, where...

0 Jian Huang, et al. ∙

research

∙ 11/22/2019

Estimating knots in bilinear spline growth models with time-invariant covariates in the framework of individual measurement occasions

The linear spline growth model (LSGM) is a popular tool for examining no...

0 Jin Liu, et al. ∙

research

∙ 11/22/2019

Estimating knots in bilinear spline growth mixture models with time-invariant covariates in the framework of individual measurement occasions

The linear spline growth mixture model (LSGMM), which extends the linear...

0 Jin Liu, et al. ∙

research

∙ 02/25/2019

Wasserstein-Wasserstein Auto-Encoders

To address the challenges in learning deep generative models (e.g.,the b...

0 Shunkang Zhang, et al. ∙

research

∙ 02/10/2019

BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data

Detecting interaction effects is a crucial step in various applications....

0 Min Zhou, et al. ∙

research

∙ 02/05/2019

6D Object Pose Estimation without PnP

In this paper, we propose an efficient end-to-end algorithm to tackle th...

0 Jin Liu, et al. ∙

research

∙ 01/27/2019

6D Object Pose Estimation Based on 2D Bounding Box

In this paper, we present a simple but powerful method to tackle the pro...

0 Jin Liu, et al. ∙

research

∙ 11/26/2018

Bayesian Weighted Mendelian Randomization for Causal Inference based on Summary Statistics

The results from Genome-Wide Association Studies (GWAS) on thousands of ...

0 Jia Zhao, et al. ∙

research

∙ 07/27/2018

VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies

In Genome-Wide Association Studies (GWAS) where multiple correlated trai...

0 Xingjie Shi, et al. ∙

research

∙ 07/03/2018

Industrial Big Data Analytics: Challenges, Methodologies, and Applications

While manufacturers have been generating highly distributed data from va...

0 JunPing Wang, et al. ∙

Jin Liu

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