Xiang Hua Huang

TA-Net: real-time identification of transient actions in manual assembly lines

Jiaming Shi, Xiang Hua Huang, Guoyi Hou, Shuanggao Li et autres

cn (code pays fourni par la source)

A gender comparison based network analysis for social media addiction behaviors in cross-cultural contexts

Linying Li, Xubo Yuan, Li Lin, Yi Chen et autres

Social media addiction (SMA) has become a prevalent behavioral addiction among university students worldwide, with acculturation stress and social identity threats amplifying this phenomenon among international students. Prior research has focused on causal factors influencing the SMA, such as social norms and …

cn, th (code pays fourni par la source)

Reverse Preference Optimization for Complex Instruction Following

Xiang Hua Huang, Ting-En Lin, F. Fang, Yuchuan Wu et autres

Instruction following (IF) is a critical capability for large language models (LLMs). However, handling complex instructions with multiple constraints remains challenging. Previous methods typically select preference pairs based on the number of constraints they satisfy, introducing noise where chosen examples may fail …

Research on the Identification and Positioning Method of Assembly Unit for Personalization

Jiawei Zhan, Jian Wei Sun, Xiang Hua Huang

Abstract Within the framework of Industry 4.0 and the Made in China 2025 initiative, the trend of personalized customization is rapidly expanding. However, the process of identifying and positioning diverse assembly units is hindered by issues like low accuracy and reduced efficiency. …

cn (code pays fourni par la source)

TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data

Xiang Hua Huang, Jiayu Shen, Shanshan Huang, Sitao Cheng et autres

Semantic parsing, which converts natural language questions into logic forms, plays a crucial role in reasoning within structured environments.However, existing methods encounter two significant challenges: reliance on extensive manually annotated datasets and limited generalization capability to unseen examples.To tackle these issues, we …

cn, us, gb (code pays fourni par la source)

Reverse Preference Optimization for Complex Instruction Following

Xiang Hua Huang, Ting-En Lin, F. Fang, Yuchuan Wu et autres

Instruction following (IF) is a critical capability for large language models (LLMs).However, handling complex instructions with multiple constraints remains challenging.Previous methods typically select preference pairs based on the number of constraints they satisfy, introducing noise where chosen examples may fail to follow …

cn (code pays fourni par la source)

Personalized Levodopa Prescription Using Hybrid Reinforcement Learning in Parkinson’s Disease

Xiang Hua Huang, Wenkai Wang, Hongjun Yang, Zeng-Guang Hou

Parkinson’s disease affects a large number of elderly people worldwide and continues to increase in prevalence. A hybrid reinforcement learning framework is proposed to enable personalized levodopa therapy in elderly patients. Firstly, a virtual patient model was developed to simulate oral intake, …

cn (code pays fourni par la source)

TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data

Xiang Hua Huang, Jiayu Shen, Shanshan Huang, Sitao Cheng et autres

Semantic parsing, which converts natural language questions into logic forms, plays a crucial role in reasoning within structured environments. However, existing methods encounter two significant challenges: reliance on extensive manually annotated datasets and limited generalization capability to unseen examples. To tackle these …

Parameter Identification of Lithiumion Battery Electrochemical Model Using Sensitivity Analysis and Neural Networks

Xiang Cheng, Wenxuan Yin, Xiang Hua Huang, Furong Liu et autres

The electrochemical model can accurately reflect the internal state of lithium-ion battery, showing great potential in the electric vehicles and energy storage industry. However, strong nonlinearity of the model makes it challenging to obtain the accurate parameter values. This paper presents a …

cn (code pays fourni par la source)

NeuroTD infers time varying delays in neural activities by adaptive sliding window alignment

Xiang Hua Huang, Noah Cohen Kalafut, Sayali Anil Alatkar, Athan Z. Li et autres

Studying temporal features of neural activities is crucial for understanding the functions of neurons as well as underlying neural circuits. To this end, recent researches employ emerging techniques including calcium imaging, Neuropixels, depth electrodes, and Patch-seq to generate multimodal time-series data that …

us (code pays fourni par la source)

[Differences in the Elderly Care Service Demand,Preference,and Tendency Between Urban and Rural Areas in the Pearl River Delta].

Hua-Jie Yang, Xiang Hua Huang, Jia-Bin Liang, Zhihui Jia et autres

<0.001).Compared with family-based elderly care,the willingness to choose institutional or community-based in-house elderly care was low among the urban elderly residents with surplus monthly household income or balanced income and expenditure;urban males,those with college education background or above,and those who purchased socialized …

cn, mo, mt (code pays fourni par la source)

A revised MCDM approach for determining criteria weights: the combination of Bayesian BWM and fuzzy DEMATEL

Xiang Hua Huang, Ping-Kuo A. Chen

Due to the analysis reliability and more comprehensive information obtained by Bayesian BWM, more and more scholars use this method to calculate the criteria weights in an evaluation system or solve multi-criteria decision problems. Even though, using of the Bayesian BWM just …

cn (code pays fourni par la source)