Quan Z. Sheng
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View article: MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion Open
With rapid urbanization in the modern era, traffic signals from various sensors have been playing a significant role in monitoring the states of cities, which provides a strong foundation in ensuring safe travel, reducing traffic congestio…
View article: PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement
PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement Open
View article: MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning Open
In the era of big data, data mining has become indispensable for uncovering hidden patterns and insights from vast and complex datasets. The integration of multimodal data sources further enhances its potential. Multimodal Federated Learni…
View article: SDVPT: Semantic-Driven Visual Prompt Tuning for Open-world Object Counting
SDVPT: Semantic-Driven Visual Prompt Tuning for Open-world Object Counting Open
View article: Clinical Application of Muscle Energy Technique for Knee Function Recovery After Total Knee Arthroplasty
Clinical Application of Muscle Energy Technique for Knee Function Recovery After Total Knee Arthroplasty Open
This preliminary study indicates that MET can enhance knee joint functionality. It demonstrated short-term efficacy in improving knee function by activating and strengthening key muscle groups, thereby improving joint mobility, muscle stre…
View article: A Survey on Reinforcement Learning Methods for UAV Systems
A Survey on Reinforcement Learning Methods for UAV Systems Open
In recent years, Unmanned Aerial Vehicles (UAVs) have attracted a lot of attention due to their flexibility and mobility. However, due to the increasingly complex environments faced by UAVs and the rising demands on UAV systems, traditiona…
View article: Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration Open
Bridging 2D and 3D sensor modalities is critical for robust perception in autonomous systems. However, image-to-point cloud (I2P) registration remains challenging due to the semantic-geometric gap between texture-rich but depth-ambiguous i…
View article: Phospholipid Remodeling and Tri‐Layer Membrane Reconstruction Mediate Cognitive Effects of Humanized Milk Fat Globules in Neonatal Rats
Phospholipid Remodeling and Tri‐Layer Membrane Reconstruction Mediate Cognitive Effects of Humanized Milk Fat Globules in Neonatal Rats Open
Human milk fat globules (MFG) are critical for cognitive development during early life. Here, the first study is presented to simulate the phospholipid composition of human milk fat globules and reconstruct their tri‐layer membrane to eval…
View article: Adversarial Attacks Against Automated Fact-Checking: A Survey
Adversarial Attacks Against Automated Fact-Checking: A Survey Open
In an era where misinformation spreads freely, fact-checking (FC) plays a crucial role in verifying claims and promoting reliable information. While automated fact-checking (AFC) has advanced significantly, existing systems remain vulnerab…
View article: Risk Factors, Clinical Features, and Management of Community-Acquired Staphylococcus aureus Pneumonia in Chongqing, China
Risk Factors, Clinical Features, and Management of Community-Acquired Staphylococcus aureus Pneumonia in Chongqing, China Open
Background Staphylococcus aureus is an important but under-recognized cause of community-acquired pneumonia (CAP), particularly methicillin-resistant S. aureus (MRSA), which is associated with poor outcomes. Methods We conducted a retrospe…
View article: A Survey of the State-of-the-Art in Conversational Question Answering Systems
A Survey of the State-of-the-Art in Conversational Question Answering Systems Open
Conversational Question Answering (ConvQA) systems have emerged as a pivotal area within Natural Language Processing (NLP) by driving advancements that enable machines to engage in dynamic and context-aware conversations. These capabilitie…
View article: Achieving on arsenic immobilization and reutilization of harvested Pteris vittata L. via red mud assisted hydrothermal processes: Mechanisms and practicality
Achieving on arsenic immobilization and reutilization of harvested Pteris vittata L. via red mud assisted hydrothermal processes: Mechanisms and practicality Open
View article: Escorting the Confidentiality and Integrity of UAVs: What Exactly Can Trusted Execution Environment Offer?
Escorting the Confidentiality and Integrity of UAVs: What Exactly Can Trusted Execution Environment Offer? Open
A UAV (Unmanned Aerial Vehicle), also commonly known as a drone, has a wide range of application scenarios and cutting-edge capabilities. Thanks to increasingly sophisticated software and hardware, algorithm, and system integration design,…
View article: Personalized multimodal sentiment analysis under uncertain modalities missing via pretraining and online learning
Personalized multimodal sentiment analysis under uncertain modalities missing via pretraining and online learning Open
View article: Global Interpretable Graph-level Anomaly Detection via Prototype
Global Interpretable Graph-level Anomaly Detection via Prototype Open
View article: RETTA: Retrieval-enhanced test-time adaptation for zero-shot video captioning
RETTA: Retrieval-enhanced test-time adaptation for zero-shot video captioning Open
View article: The interaction between ncRNAs and the EGFR signaling pathway in lung cancer
The interaction between ncRNAs and the EGFR signaling pathway in lung cancer Open
View article: A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions Open
This systematic review evaluates recent literature from January 2021 to March 2024 on large language model (LLM) applications across diverse medical specialties. Searching PubMed, Web of Science, and Scopus, we included 84 studies. LLMs we…
View article: Integrated multi-omics reveals niacin's regulatory mechanism in suppressing post-acidification to enhance yogurt stability
Integrated multi-omics reveals niacin's regulatory mechanism in suppressing post-acidification to enhance yogurt stability Open
View article: An integrated solution for collaborative scheduling of heterogeneous agricultural machines of different types in harvesting-transportation scenarios
An integrated solution for collaborative scheduling of heterogeneous agricultural machines of different types in harvesting-transportation scenarios Open
View article: A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams
A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams Open
The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can result in estimation errors that impact collaborative efforts…
View article: Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection
Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection Open
Fraud detection in online networks has become increasingly challenging as fraudsters adopt sophisticated camouflage tactics to evade detection, making it imperative to combat their deceptive strategies. Graph-based fraud detection has gain…
View article: Intelligent Sensor-mediated Breathing and Snoring Care
Intelligent Sensor-mediated Breathing and Snoring Care Open
View article: Organizational Drivers of Turnover Intention in China’s Manufacturing Industry: Evidence of the Mediating Role of Employee Motivation
Organizational Drivers of Turnover Intention in China’s Manufacturing Industry: Evidence of the Mediating Role of Employee Motivation Open
This study investigates the influence of organizational factors—namely organizational commitment, organizational justice, and reward management—on employees’ turnover intention in China’s manufacturing industry, with employee motivation as…
View article: The developmental factor TBX3 engages with the Wnt/β-catenin transcriptional complex in colorectal cancer to regulate metastasis genes
The developmental factor TBX3 engages with the Wnt/β-catenin transcriptional complex in colorectal cancer to regulate metastasis genes Open
Wnt signaling orchestrates gene expression in a plethora of processes during development and adult cell homeostasis via the action of nuclear β-catenin. Yet, little is known about how β-catenin generates context-specific transcriptional ou…
View article: Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction
Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction Open
View article: Advancing synergistic strategies for greenhouse gas and atmospheric pollutant emission reduction in urban transportation: a whole lifecycle perspective
Advancing synergistic strategies for greenhouse gas and atmospheric pollutant emission reduction in urban transportation: a whole lifecycle perspective Open
In light of the interrelated origins and processes of greenhouse gas (GHG) and atmospheric pollutant emissions, countries around the world are actively seeking synergistic strategies for their reduction. Urban transportation represents a c…
View article: SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting
SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting Open
Open-world object counting leverages the robust text-image alignment of pre-trained vision-language models (VLMs) to enable counting of arbitrary categories in images specified by textual queries. However, widely adopted naive fine-tuning …
View article: Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers Open
Worldwide, Geo-distributed Data Centers (GDCs) provide computing and storage services for massive workflow applications, resulting in high electricity costs that vary depending on geographical locations and time. How to reduce electricity …
View article: A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions
A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions Open
Background: Large Language Models (LLMs) are one of the artificial intelligence (AI) technologies used to understand and generate text, summarize information, and comprehend contextual cues. LLMs have been increasingly used by researchers …