Jianbo Ye
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View article: Oral nutritional supplement compliance among hospitalized cancer patients: a cross-sectional study based on the KAP model
Oral nutritional supplement compliance among hospitalized cancer patients: a cross-sectional study based on the KAP model Open
This study revealed that compliance with ONS in hospitalized cancer patients was associated with social support, adverse effects, and knowledge. Nursing staff should tailor assessments to patients' and families' specific needs, offering pe…
View article: A subjective sound quality evaluation method for vehicle interior noise based on feature ranking and minimizing inter-group differences
A subjective sound quality evaluation method for vehicle interior noise based on feature ranking and minimizing inter-group differences Open
This paper presents an innovative method for subjective sound quality evaluation (SQE) of vehicle interior noise, addressing key limitations in existing paired comparison methods (PC) and adaptive grouped paired comparison methods (AGPCM).…
View article: Evolutionary genomics of KPC-2-producing Serratia marcescens and characterization of a novel bla KPC-2 -harboring plasmid
Evolutionary genomics of KPC-2-producing Serratia marcescens and characterization of a novel bla KPC-2 -harboring plasmid Open
Background: Serratia marcescens (S. marcescens) is a common opportunistic pathogen in hospitals. Its carbapenem-resistant strains, especially those carrying the blaKPC-2 gene, pose a serious challenge to clinical infection treatment. Metho…
View article: Illusions in Humans and AI: How Visual Perception Aligns and Diverges
Illusions in Humans and AI: How Visual Perception Aligns and Diverges Open
By comparing biological and artificial perception through the lens of illusions, we highlight critical differences in how each system constructs visual reality. Understanding these divergences can inform the development of more robust, int…
View article: Identification of truncation frequencies for BIW structures based on modal contribution analysis
Identification of truncation frequencies for BIW structures based on modal contribution analysis Open
To address the trade-off between modeling efficiency and accuracy in low- to mid-frequency dynamic analysis of Body-in-White (BIW) structures, this study proposes a frequency truncation method based on the modal contribution at points of m…
View article: Multiple Machine Learning Models-Based Diabetes Prediction and Feature Importance Analysis
Multiple Machine Learning Models-Based Diabetes Prediction and Feature Importance Analysis Open
Due to the increasing number of diabetic patients in recent years and the inadequacy of traditional diabetes prediction methods, machine learning models with many advantages should be used to predict diabetes. The study selects the data fr…
View article: 3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement
3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement Open
We present 3DGS-CD, the first 3D Gaussian Splatting (3DGS)-based method for detecting physical object rearrangements in 3D scenes. Our approach estimates 3D object-level changes by comparing two sets of unaligned images taken at different …
View article: From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems
From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems Open
Consider the math problem: "Lily received 3 cookies from her best friend yesterday and ate 5 for breakfast. Today, her friend gave her 3 more cookies. How many cookies does Lily have now?" Many large language models (LLMs) in previous rese…
View article: gsplat: An Open-Source Library for Gaussian Splatting
gsplat: An Open-Source Library for Gaussian Splatting Open
gsplat is an open-source library designed for training and developing Gaussian Splatting methods. It features a front-end with Python bindings compatible with the PyTorch library and a back-end with highly optimized CUDA kernels. gsplat of…
View article: Fast Sparse View Guided NeRF Update for Object Reconfigurations
Fast Sparse View Guided NeRF Update for Object Reconfigurations Open
Neural Radiance Field (NeRF), as an implicit 3D scene representation, lacks inherent ability to accommodate changes made to the initial static scene. If objects are reconfigured, it is difficult to update the NeRF to reflect the new state …
View article: SCOTT: Shape-Location Combined Tracking with Optimal Transport
SCOTT: Shape-Location Combined Tracking with Optimal Transport Open
Optimal transport (OT) is a prominent framework for point set registration, that is, to align points in two sets. Point set registration becomes particularly difficult when points are organized into objects and the correspondence among the…
View article: PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training Open
Recommender systems provide users with ranked lists of items based on individual's preferences and constraints. Two types of models are commonly used to generate ranking results: long-term models and session-based models. While long-term m…
View article: A Multi-task Learning Approach for Image Captioning
A Multi-task Learning Approach for Image Captioning Open
In this paper, we propose a Multi-task Learning Approach for Image Captioning (MLAIC ), motivated by the fact that humans have no difficulty performing such task because they possess capabilities of multiple domains. Specifically, MLAIC co…
View article: Investigating Active Learning for Concept Prerequisite Learning
Investigating Active Learning for Concept Prerequisite Learning Open
Concept prerequisite learning focuses on machine learning methods for measuring the prerequisite relation among concepts. With the importance of prerequisites for education, it has recently become a promising research direction. A major ob…
View article: Investigating Capsule Networks with Dynamic Routing for Text Classification
Investigating Capsule Networks with Dynamic Routing for Text Classification Open
In this study, we explore capsule networks with dynamic routing for text classification. We propose three strategies to stabilize the dynamic routing process to alleviate the disturbance of some noise capsules which may contain "background…
View article: Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Open
Model pruning has become a useful technique that improves the computational efficiency of deep learning, making it possible to deploy solutions in resource-limited scenarios. A widely-used practice in relevant work assumes that a smaller-n…
View article: Rethinking the Smaller-Norm-Less-Informative Assumption in Channel\n Pruning of Convolution Layers
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel\n Pruning of Convolution Layers Open
Model pruning has become a useful technique that improves the computational\nefficiency of deep learning, making it possible to deploy solutions in\nresource-limited scenarios. A widely-used practice in relevant work assumes\nthat a smalle…
View article: Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations Open
Strict partial order is a mathematical structure commonly seen in relational data. One obstacle to extracting such type of relations at scale is the lack of large-scale labels for building effective data-driven solutions. We develop an act…
View article: Investigating Capsule Networks with Dynamic Routing for Text Classification
Investigating Capsule Networks with Dynamic Routing for Text Classification Open
In this study, we explore capsule networks with dynamic routing for text classification. We propose three strategies to stabilize the dynamic routing process to alleviate the disturbance of some noise capsules which may contain “background…
View article: Effect of Calligraphy Learning on Moral Education of College Students
Effect of Calligraphy Learning on Moral Education of College Students Open
In order to verify the inherent consistency between the calligraphy art education and the college students' moral education, the principle of the mutual agreement between calligraphy education and moral education is explained.The theoretic…
View article: Leveraging Long and Short-term Information in Content-aware Movie Recommendation
Leveraging Long and Short-term Information in Content-aware Movie Recommendation Open
Movie recommendation systems provide users with ranked lists of movies based on individual's preferences and constraints. Two types of models are commonly used to generate ranking results: long-term models and session-based models. While l…
View article: A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque
A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque Open
This short article presents a new implementation for decision trees. By introducing pre-sorted deques, the leaf-wise greedy tree growing strategy no longer needs to re-sort data at each node, and takes O(kn) time and O(1) extra memory loca…
View article: Aggregated Wasserstein Metric and State Registration for Hidden Markov Models
Aggregated Wasserstein Metric and State Registration for Hidden Markov Models Open
We propose a framework, named Aggregated Wasserstein, for computing a dissimilarity measure or distance between two Hidden Markov Models with state conditional distributions being Gaussian. For such HMMs, the marginal distribution at any t…
View article: Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data
Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data Open
We proposed a probabilistic approach to joint modeling of participants' reliability and humans' regularity in crowdsourced affective studies. Reliability measures how likely a subject will respond to a question seriously; and regularity me…
View article: Recovering Concept Prerequisite Relations from University Course Dependencies
Recovering Concept Prerequisite Relations from University Course Dependencies Open
Prerequisite relations among concepts play an important role in many educational applications such as intelligent tutoring system and curriculum planning. With the increasing amount of educational data available, automatic discovery of con…