Yue Hu

Leveraging Latent Sentiment Constraint in Probabilistic Matrix Factorization for Cross-domain Sentiment Classification

2016 · Procedia Computer Science

Sentiment analysis is concerned with classifying a subjective text into positive or negative according to the opinion expressed in it. The performance of traditional sentiment classification algorithms rely heavily on manually labeled training data. However, …

Query expansion for exploratory search with subtopic discovery in Community Question Answering

2016

Exploratory search is cumbersome with today's search engines, where a user aims to better understand complex concepts. Query expansions techniques have been widely used in exploratory search. However, query expansions often recommend queries that differ …

Back-calculation of Asphalt Pavement Modulus based on Gene Expression Programming

2017 · DEStech Transactions on Engineering and Technology Research

This paper explored the gene expression programming (GEP) to model the back-calculation of asphalt pavement structure for surface layer modulus, base modulus and subgrade modulus, and obtained the function expression correspondingly. Then comparatively analyzed the …

CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective

2022 · 2022 International Joint Conference on Neural Networks (IJCNN)

Intention, emotion and action are important psychological factors in human activities, which play an important role in the interaction between individuals. How to model the interaction process between individuals by analyzing the relationship of their …

Probing Three-dimensional Magnetic Fields. III. Synchrotron Emission and Machine Learning

2024 · The Astrophysical Journal

Abstract Synchrotron observation serves as a tool for studying magnetic fields in the interstellar medium and intracluster medium, yet its ability to unveil three-dimensional (3D) magnetic fields, meaning probing the field’s plane-of-the-sky (POS) orientation, inclination …

Mutagenesis screen to map the functions of parameters of Large Language Models

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have significantly advanced artificial intelligence, excelling in numerous tasks. Although the functionality of a model is inherently tied to its parameters, a systematic method for exploring the connections between the parameters …

Intelligent Recommendation System for Academic Competitions Based on Multi-Head Attention and Bidirectional LSTM

2025

To address the issues of inaccurate user interest understanding and insufficient recommendation precision in academic competition recommendation systems, this paper proposes an intelligent recommendation system model based on multi-head attention mechanism and Bidirectional Long ShortTerm …

Social Recommendation with an Essential Preference Space

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Social recommendation, which aims to exploit social information to improve the quality of a recommender system, has attracted an increasing amount of attention in recent years. A large portion of existing social recommendation models are …