C. L. Philip Chen
YOU?
Author Swipe
View article: AI-driven marketing innovation in educational technology: a multi-dimensional analysis of virtual sales personnel and intelligent promotion strategies on user acceptance and engagement
AI-driven marketing innovation in educational technology: a multi-dimensional analysis of virtual sales personnel and intelligent promotion strategies on user acceptance and engagement Open
This study investigates the impact of AI-driven marketing innovations on user acceptance and engagement in educational technology contexts, examining how virtual sales personnel characteristics and intelligent promotion strategies influenc…
View article: 289eP Comparative evaluation of rule-based natural language processing (NLP) and fine-tuned large language model (LLM) for clinical data extraction in non-small cell lung cancer (NSCLC): A real-world study from China
289eP Comparative evaluation of rule-based natural language processing (NLP) and fine-tuned large language model (LLM) for clinical data extraction in non-small cell lung cancer (NSCLC): A real-world study from China Open
View article: PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting
PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting Open
Recent advancements in text-to-image (T2I) diffusion models have demonstrated remarkable capabilities in generating high-fidelity images. However, these models often struggle to faithfully render complex user prompts, particularly in aspec…
View article: Research progress of multimodal biomarkers in the early diagnosis of mild cognitive impairment in Parkinson’s disease
Research progress of multimodal biomarkers in the early diagnosis of mild cognitive impairment in Parkinson’s disease Open
Parkinson’s disease (PD), as a common neurodegenerative disorder, its associated mild cognitive impairment (PD-mild cognitive impairment, PD-MCI) is a key prodromal stage in the progression to PD-dementia (PDD). Cognitive dysfunction serio…
View article: Optimization of Schedule Management for Small Municipal Engineering Projects
Optimization of Schedule Management for Small Municipal Engineering Projects Open
Small municipal projects, constrained by resources and extensive management models, commonly face issues of delayed progress and cost overruns. This study uses a road renovation project in a city as an empirical case. By integrating BIM co…
View article: LLM4Rail: An LLM-Augmented Railway Service Consulting Platform
LLM4Rail: An LLM-Augmented Railway Service Consulting Platform Open
Large language models (LLMs) have significantly reshaped different walks of business. To meet the increasing demands for individualized railway service, we develop LLM4Rail - a novel LLM-augmented railway service consulting platform. Empow…
View article: Dynamic performance of a switching and proportional hybrid-controlled xenon feed system for electric propulsion applications
Dynamic performance of a switching and proportional hybrid-controlled xenon feed system for electric propulsion applications Open
View article: A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security
A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security Open
The rapid integration of complex sensors and electronic control units (ECUs) in autonomous vehicles significantly increases cybersecurity risks in vehicular networks. Although the Controller Area Network (CAN) is efficient, it lacks inhere…
View article: Research on the collision governance platform for merchant and fishing vessels based on E-navigation platform
Research on the collision governance platform for merchant and fishing vessels based on E-navigation platform Open
View article: Integrating large language models and affective computing for human-machine symbiosis in intelligent driving
Integrating large language models and affective computing for human-machine symbiosis in intelligent driving Open
View article: An air combat maneuver decision-making approach using coupled reward in deep reinforcement learning
An air combat maneuver decision-making approach using coupled reward in deep reinforcement learning Open
In the domain of unmanned air combat, achieving efficient autonomous maneuvering decisions presents challenges. Deep Reinforcement learning(DRL) is one of the approaches to tackle this problem. The final performance of the DRL algorithm is…
View article: Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning
Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning Open
Ensemble learning, a pivotal branch of machine learning, amalgamates multiple base models to enhance the overarching performance of predictive models, capitalising on the diversity and collective wisdom of the ensemble to surpass individua…
View article: FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning Open
With the emerging application of Federated Learning (FL) in decision-making scenarios, it is imperative to regulate model fairness to prevent disparities across sensitive groups (e.g., female, male). Current research predominantly focuses …
View article: Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model Open
Intelligent game creation represents a transformative advancement in game development, utilizing generative artificial intelligence to dynamically generate and enhance game content. Despite notable progress in generative models, the compre…
View article: Study on the extraction and analysis methods for color features of cupping plaque images in traditional Chinese medicine
Study on the extraction and analysis methods for color features of cupping plaque images in traditional Chinese medicine Open
View article: Efficient and secure transmission method for image data in the petroleum industry
Efficient and secure transmission method for image data in the petroleum industry Open
To address the challenge of efficient and secure transmission of big data in the petroleum industry, this study converts images into three-channel matrix data and performs singular value decomposition (SVD) on these matrices. The method co…
View article: Reliable Multimodal Learning Via Multi-Level Adaptive DeConfusion
Reliable Multimodal Learning Via Multi-Level Adaptive DeConfusion Open
Multimodal learning enhances the performance of various machine learning tasks by leveraging complementary information across different modalities. However, existing methods often learn multimodal representations that retain substantial in…
View article: A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture
A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture Open
This study focuses on pest and disease detection in cistanche, proposing a Transformer-based object detection network enhanced by a bridging attention mechanism and bridging loss function, demonstrating outstanding performance in complex a…
View article: Indirect Economic and Environmental Assessment of Water Resource Management Projects within Water-Energy-Carbon Dynamics
Indirect Economic and Environmental Assessment of Water Resource Management Projects within Water-Energy-Carbon Dynamics Open
View article: The Textualist Test for Large Language Models
The Textualist Test for Large Language Models Open
View article: The Impact of Large Language Models in Academia: from Writing to Speaking
The Impact of Large Language Models in Academia: from Writing to Speaking Open
View article: A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models
A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models Open
View article: Minimum Variance Weighted Broad Cascade Network Structure for Imbalanced Classification
Minimum Variance Weighted Broad Cascade Network Structure for Imbalanced Classification Open
View article: Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection
Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection Open
View article: Interval Forecast of Natural Gas Daily Consumption Based on Spatial-Temporal Bayesian Model
Interval Forecast of Natural Gas Daily Consumption Based on Spatial-Temporal Bayesian Model Open
View article: DS<sup>2</sup>A-Former: Battery Surface Defect Segmentation via Dual-Stream Spatial Attention Transformer Network
DS<sup>2</sup>A-Former: Battery Surface Defect Segmentation via Dual-Stream Spatial Attention Transformer Network Open
View article: From Generalists to Specialists: Enhancing Large Language Models for Transportation Operations via Supervised Fine-Tuning
From Generalists to Specialists: Enhancing Large Language Models for Transportation Operations via Supervised Fine-Tuning Open
View article: Adaptive Fuzzy Predefined Performance Control for Nonlinear Switched Interconnected Systems with Full-State Constraints and Actuator Faults
Adaptive Fuzzy Predefined Performance Control for Nonlinear Switched Interconnected Systems with Full-State Constraints and Actuator Faults Open
View article: Machine Learning and Gaussian Mixture Model for Delineating Soil Cadmium Risk Zones
Machine Learning and Gaussian Mixture Model for Delineating Soil Cadmium Risk Zones Open
Effective management of regional soil cadmium (Cd) contamination is limited by difficulties in accurately predicting Cd concentrations and delineating the risk zones. This study proposed an integrated approach, combining a Machine Learning…
View article: A Photon-Free Approach for Efficient Camera Noise Correction in Ptychography
A Photon-Free Approach for Efficient Camera Noise Correction in Ptychography Open