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View article: A review of instruction-guided image editing
A review of instruction-guided image editing Open
View article: The Impact of Chat GPT on the Self-learning of Undergraduate Students
The Impact of Chat GPT on the Self-learning of Undergraduate Students Open
Amidst the digital transformation of higher education and artificial intelligence, particularly ChatGPT is reshaping student learning. This study evaluates the impact of ChatGPT’s core technological features (conversational ability, conten…
View article: Segmentation and Color ROI Extraction from Breast Imaging Datasets for Cancer Classification
Segmentation and Color ROI Extraction from Breast Imaging Datasets for Cancer Classification Open
Breast cancer is a serious health concern worldwide, particularly affecting many women. Therefore, using image processing techniques to enhance mammographic images is essential for accurate and early diagnosis. This study proposes a method…
View article: Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents
Multilingual Text-to-SQL: Benchmarking the Limits of Language Models with Collaborative Language Agents Open
Text-to-SQL enables natural access to databases, yet most benchmarks are English-only, limiting multilingual progress. We introduce MultiSpider 2.0, extending Spider 2.0 to eight languages (English, German, French, Spanish, Portuguese, Jap…
View article: Digital Twins: Enhancing Personalized Experience Through Multiple and Dynamic Persona Across Customer Phygital Journey
Digital Twins: Enhancing Personalized Experience Through Multiple and Dynamic Persona Across Customer Phygital Journey Open
This study explores how phygital profiling and dynamic personas enhance personalized customer experiences across the evolving customer journey. Drawing on Foursquare data from 27,148 users and over 2 million check-ins across four global ci…
View article: A Novel UV-VIS Spectroscopic Approach for the Development and Validation of Benzoyl Peroxide Quantification Methods
A Novel UV-VIS Spectroscopic Approach for the Development and Validation of Benzoyl Peroxide Quantification Methods Open
Objective: Benzoyl peroxide (BPO) is a widely used active ingredient in acne treatments, recognized for its antibacterial and exfoliating properties. This study aims to quantitatively determine the concentration of BPO in an acne cream usi…
View article: A Novel UV-VIS Spectroscopic Approach for the Development and Validation of Benzoyl Peroxide Quantification Methods
A Novel UV-VIS Spectroscopic Approach for the Development and Validation of Benzoyl Peroxide Quantification Methods Open
Objective: Benzoyl peroxide (BPO) is a widely used active ingredient in acne treatments, recognized for its antibacterial and exfoliating properties. This study aims to quantitatively determine the concentration of BPO in an acne cream usi…
View article: Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs
Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs Open
Medical Large Multi-modal Models (LMMs) have demonstrated remarkable capabilities in medical data interpretation. However, these models frequently generate hallucinations contradicting source evidence, particularly due to inadequate locali…
View article: On-device diagnostic recommendation with heterogeneous federated BlockNets
On-device diagnostic recommendation with heterogeneous federated BlockNets Open
The evolution of edge computing has advanced the accessibility of E-health recommendation services, encompassing areas such as medical consultations, prescription guidance, and diagnostic assessments. Traditional methodologies predominantl…
View article: Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion
Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion Open
Recommender systems are pivotal in delivering personalised user experiences across various domains. However, capturing the heterophily patterns and the multi-dimensional nature of user-item interactions poses significant challenges. To add…
View article: Evaluating the Effectiveness of Textbook Policy in Vietnam: A Grounded Research
Evaluating the Effectiveness of Textbook Policy in Vietnam: A Grounded Research Open
Vietnam's school textbook policy has undergone a significant transformation alongside the implementation of the new 2018 general education curriculum, shifting from a single nationally unified set of textbooks to a "one curriculum - many t…
View article: Certified Unlearning for Federated Recommendation
Certified Unlearning for Federated Recommendation Open
Recommendation systems play a crucial role in providing web-based suggestion utilities by leveraging user behavior, preferences, and interests. In the context of privacy concerns and the proliferation of handheld devices, federated recomme…
View article: Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era
Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era Open
The rapid advancement of large language models (LLMs) and multimodal learning has transformed digital content creation and manipulation. Traditional visual editing tools require significant expertise, limiting accessibility. Recent strides…
View article: Privacy-preserving explainable AI: a survey
Privacy-preserving explainable AI: a survey Open
As the adoption of explainable AI (XAI) continues to expand, the urgency to address its privacy implications intensifies. Despite a growing corpus of research in AI privacy and explainability, there is little attention on privacy-preservin…
View article: PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System
PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System Open
Federated recommender systems (FedRecs) have emerged as a popular research direction for protecting users' privacy in on-device recommendations. In FedRecs, users keep their data locally and only contribute their local collaborative inform…
View article: Decline of the Critically Endangered Tonkin snub-nosed monkey in Quan Ba forest, Vietnam
Decline of the Critically Endangered Tonkin snub-nosed monkey in Quan Ba forest, Vietnam Open
View article: Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures Open
Recommender systems have become an integral part of online services due to their ability to help users locate specific information in a sea of data. However, existing studies show that some recommender systems are vulnerable to poisoning a…
View article: Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention Open
View article: A dual benchmarking study of facial forgery and facial forensics
A dual benchmarking study of facial forgery and facial forensics Open
In recent years, visual facial forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security. A wide range of malicious applications have emerged, such as deepfake…
View article: Heterogeneous Hypergraph Embedding for Recommendation Systems
Heterogeneous Hypergraph Embedding for Recommendation Systems Open
Recent advancements in recommender systems have focused on integrating knowledge graphs (KGs) to leverage their auxiliary information. The core idea of KG-enhanced recommenders is to incorporate rich semantic information for more accurate …
View article: Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation
Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation Open
Speech emotion recognition (SER) plays a crucial role in human-computer interaction. The emergence of edge devices in the Internet of Things (IoT) presents challenges in constructing intricate deep learning models due to constraints in mem…
View article: Inventorying and proposing solutions for street tree management in Thu Duc city, Ho Chi Minh City
Inventorying and proposing solutions for street tree management in Thu Duc city, Ho Chi Minh City Open
Tree inventory plays an essential role in the urban landscape master plan. It serves as the foundation for data acquisition that supports the planning strategy and decisions relating to the community’s interests, particularly in recently e…
View article: Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience Open
Federated learning (FL) has recently emerged as a compelling machine learning paradigm, prioritizing the protection of privacy for training data. The increasing demand to address issues such as ``the right to be forgotten'' and combat data…
View article: Development of a Smart Wearable Device for Fall and Slip Detection and Warning for the Elderly People
Development of a Smart Wearable Device for Fall and Slip Detection and Warning for the Elderly People Open
In the elderly, due to the degeneration of the muscles along with visual impairment, mobility becomes more difficult than in other ages. Upon moving, the elderly can be susceptible to several factors such as slips or obstacles which can ca…
View article: Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures Open
Recommender systems have become an integral part of online services to help users locate specific information in a sea of data. However, existing studies show that some recommender systems are vulnerable to poisoning attacks, particularly …
View article: A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Open
As the adoption of explainable AI (XAI) continues to expand, the urgency to address its privacy implications intensifies. Despite a growing corpus of research in AI privacy and explainability, there is little attention on privacy-preservin…
View article: Applying Quantitative and Data Analysis using Structural Equation Modeling for Accessing Factors Influencing Employee Loyalty
Applying Quantitative and Data Analysis using Structural Equation Modeling for Accessing Factors Influencing Employee Loyalty Open
T his study aims to measure the impact of factors on the loyalty of employees at small and medium enterprises (SMEs) in Ho Chi Minh City through interviews with 640 surveys with a non-probability sampling method, a convenient approach. Qua…
View article: Portable graph-based rumour detection against multi-modal heterophily
Portable graph-based rumour detection against multi-modal heterophily Open
View article: Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining Open
Maximal frequent subgraph mining (MFSM) is the task of mining only maximal frequent subgraphs, i.e., subgraphs that are not a part of other frequent subgraphs. Although many intelligent systems require MFSM, MFSM is challenging compared to…
View article: FABRICATION OF PORTABLE TRIBOELECTRIC NANOGENERATOR BASED ON NATURAL LEAVES
FABRICATION OF PORTABLE TRIBOELECTRIC NANOGENERATOR BASED ON NATURAL LEAVES Open
Recently, green triboelectric nanogenerators (TENG) have emerged as an alternative adequate power supply to solid-state chemical batteries to overcome certain drawbacks, including toxic materials, limited lifetime, or recharged requirement…