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07/29/2023
RoCar: A Relationship Network-based Evaluation Method to Large Language Models
Large language models (LLMs) have received increasing attention. However...
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06/25/2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Sequential recommendation requires understanding the dynamic patterns of...
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05/23/2023
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
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03/06/2023
An Efficient Data Integration Scheme for Synthesizing Information from Multiple Secondary Datasets for the Parameter Inference of the Main Analysis
Many observational studies and clinical trials collect various secondary...
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09/10/2022
Deep Baseline Network for Time Series Modeling and Anomaly Detection
Deep learning has seen increasing applications in time series in recent ...
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04/30/2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
The success of Pre-Trained Models (PTMs) has reshaped the development of...
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03/08/2022
GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework
Many gait recognition methods first partition the human gait into N-part...
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11/24/2021
Machine Learning for Real-Time, Automatic, and Early Diagnosis of Parkinson's Disease by Extracting Signs of Micrographia from Handwriting Images
Parkinson's disease (PD) is debilitating, progressive, and clinically ma...
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06/23/2020
A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood
Conventional likelihood-based information criteria for model selection r...
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04/20/2018