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08/18/2023
Breaking the Complexity Barrier in Compositional Minimax Optimization
Compositional minimax optimization is a pivotal yet under-explored chall...
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08/09/2023
"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets
With the advent of general-purpose Generative AI, the interest in discer...
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08/07/2023
Mobile Supply: The Last Piece of Jigsaw of Recommender System
Recommendation system is a fundamental functionality of online platforms...
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07/18/2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Large-scale online recommender system spreads all over the Internet bein...
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06/05/2023
Asymmetric Patch Sampling for Contrastive Learning
Asymmetric appearance between positive pair effectively reduces the risk...
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05/05/2023
Adaptive Graph Convolutional Subspace Clustering
Spectral-type subspace clustering algorithms have shown excellent perfor...
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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...
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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...
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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 ...
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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...
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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...
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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...
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12/05/2022
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series
The order-preserving pattern mining can be regarded as discovering frequ...
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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; ...
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10/03/2022
Inference on High-dimensional Single-index Models with Streaming Data
Traditional statistical methods are faced with new challenges due to str...
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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 ...
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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...
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08/08/2022
A Frequency-aware Software Cache for Large Recommendation System Embeddings
Deep learning recommendation models (DLRMs) have been widely applied in ...
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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, ...
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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...
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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...
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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...
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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...
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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...
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10/19/2021
A Deep Generative Approach to Conditional Sampling
We propose a deep generative approach to sampling from a conditional dis...
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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...
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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...
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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...
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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...
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06/21/2021
Schrödinger-Föllmer Sampler: Sampling without Ergodicity
Sampling from probability distributions is an important problem in stati...
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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...
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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...
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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...
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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...
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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...
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12/21/2020
Two-directional simultaneous inference for high-dimensional models
This paper proposes a general two directional simultaneous inference (TO...
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12/11/2020
Generative Learning With Euler Particle Transport
We propose an Euler particle transport (EPT) approach for generative lea...
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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...
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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...
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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...
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06/10/2020
Deep Dimension Reduction for Supervised Representation Learning
The success of deep supervised learning depends on its automatic data re...
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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...
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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...
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02/07/2020
Learning Implicit Generative Models with Theoretical Guarantees
We propose a unified framework for implicit generative modeling (UnifiGe...
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01/27/2020
On Newton Screening
Screening and working set techniques are important approaches to reducin...
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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...
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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...
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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...
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02/25/2019
Wasserstein-Wasserstein Auto-Encoders
To address the challenges in learning deep generative models (e.g.,the b...
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02/10/2019