- DEFT-VTON: Efficient Virtual Try-On with Consistent Generalised H-Transform
- Latent Patched Efficient Diffusion Model for High Resolution Image Synthesis
- Fair and Robust Federated Learning via Reputation-aware Incentives and Model Aggregation
- Predicting Mortality Risk for COVID in Diabetic and Non-Diabetic Patients using Machine Learning: A Systematic Review
- Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes
- Dynamic Local Usage: An Accurate Model for Usage of Tile-Internal Wiring in Global Routing
- Prediction the Carbon Emission Intensity of Coal-fired Power Plant Based on Electricity Data
- FPGA-TrustZone: Security Extension of TrustZone to FPGA for SoC-FPGA Heterogeneous Architecture
- Research on a Differentiated Task Scheduling Model for Embedded Operating Systems in the Energy Industry
- EV-Flying: An Event-Based Dataset for In-the-Wild Recognition of Flying Objects
- Improvement of the Authentication Method for IoT Technologies Based on Blockchain
- Local-GS: An Order-Independent Gaussian Splatting Training Accelerator Exploiting Splat Locality
- Efficient Multidimensional Signal Processing Schemes for Heated-Dot Magnetic Recording with Multi-Layered Bit Patterned Media
- Predictor-Based State-Feedback Control of Lipschitz-Type Nonlinear Retarded State-Multiplicative Systems.
- A Classification-Guided Adaptive VMD-Wavelet Denoising Algorithm for Cable Partial Discharge Signal Processing
- Revisiting Multi-Modal LLM Evaluation
- Diagnosis of Power Cable Fault Types Based on PSO-BP algorithm
- XShift: FPGA-efficient Binarized LLM with Joint Quantization and Sparsification
- AmpereBleed: Exploiting On-chip Current Sensors for Circuit-Free Attacks on ARM-FPGA SoCs
- KVO-LLM: Boosting Long-Context Generation Throughput for Batched LLM Inference
- Performance Study of High Power IGBT Thermal Management System Based on Bidirectional Gradual Honeycomb Structure
- Link Prediction-Based Measurement Strategy for Efficient Topology Completeness Improvements
- Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation
- Zero-Sequence Inductance Analysis of IPMSM Based on EMN Model Considering Magnetic Circuit Saturation
- PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
- EL-Attack: Explicit and Latent Space Hybrid Optimization based General and Effective Attack for Autonomous Driving Trajectory Prediction
- An Online Junction Temperature Estimation Method of Press-pack IGBTs Based on Thermal Network Model with Multiple Heat Flow Paths
- Optimization of bearing capacity of distribution network with wide access of electric vehicles and distributed generation
- Vocabulary-Free Few-Shot Learning for Vision-Language Models
- Structural optimization of 50 kg hydrogen storage system based on multiphysics field simulation
- Reaction Rumble : A Facial Expression Recognition Application using CNN
- Field-Oriented Control of Bearingless Permanent Magnet Slice Motor in Matlab/Simulink
- Action Anticipation from Soccernet Football Video Broadcasts
- Intelligent Fault Identification Framework for Power System Protection Using LSTM and Impedance-Based Fault Signatures
- LVP-CLIP: Revisiting CLIP for Continual Learning with Label Vector Pool
- GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency
- Text and Voice Integration with Wav2Vec and Specaugment for Improving Accuracy of Speech Emotion Recognition
- A Dynamic User-Centric QFD-MCDM Model for Intelligent Cloud Service Selection
- High-throughput Point-Cloud Accelerator with Sparsity-aware Hierarchical Neighbor Voxel Search and Skipping
- The Unwritten Contract of Cloud-based Elastic Solid-State Drives
- Analysis of Reversible Steganography in Image Histograms
- Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization
- Short-Term Power Load Forecasting Based on CNN-BiLSTM Optimized by Snow Ablation Algorithm
- Ntire 2025 Challenge on Short-Form Ugc Video Quality Assessment and Enhancement: Kwaisr Dataset and Study
- Dataformer: Differential Additive Transformer for Lightweight Semantic Segmentation
- Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning
- Study on the tortuosity of long air gap discharge channels at an altitude of 4650 m in China
- Energy Valley Optimized Feature Selection with CatBoost Classifier for Intelligent Industrial IoT Intrusion Detection
- NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results
- Cross-Modal Consistency Learning for Sign Language Recognition
- Delving into Topology Representation for Layout Pattern: A Novel Contrastive Learning Framework for Hotspot Detection
- Public Awareness and Adoption of 5G in Smart Education
- Research on DC Load and branch fault isolation device of PEDF System
- MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training
- Live Region Mutation Testing for Commercial Cyber-Physical System Development Tool Chain
- STREAM: Spatiotemporal Similarity-based Efficient Approximate Median with Tunable Granularity
- Adaptive Frequency Regulation Control Method for Hybrid Renewable Energy Power Plants Based on Disturbance Intensity and Frequency Regulation Capability
- WildlifeReID-10k: Wildlife Re-Identification Dataset with 10k Individual Animals
- Study on the Evolutionary Trend of Grid Functionalized Investment Structure under Composite Scenarios
- Natural Gas Transmission Forecasting Using CNN-LSTM Deep Learning Model
- Bridging the Modality Gap: Training-Free Adaptation of Vision-Language Models for Remote Sensing via Visual Prototypes
- AI Driven Intrusion Detection: Enhancing Cyber Security with Machine Learning
- Optimizing the Power Grid's Two-Ticket System Based on High-Voltage Line Inspection Results Using DenseNet Model
- Machine Learning-Driven STL Generation for Enhancing Functional Safety of E/E Systems
- Predicting Butterfly Species Presence from Satellite Imagery Using Soft Contrastive Regularisation
- FrogDogNet: Fourier Frequency Retained Visual Prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing
- Learning Pose-Aware Representations in Vision Transformers for Understanding Activities of Daily Living
- MAGE: A Multi-Agent Engine for Automated RTL Code Generation
- Enabling Data-Deduplication-Assisted Data Relocation for Interlaced Magnetic Recording
- Advancing Ambient Lighting Normalization via Diffusion Shadow Generation
- GPS: GNN-Based Two-Stage Pre-Scheduling Loop Mapping Method on CGRAs
- Maximizing Aerial Detection of Organic Objects in Non-Exhaustively Searchable Survey Areas
- Research on Business Decision Support System Based on Big Data and Artificial Intelligence
- Design and Research of Photovoltaic Ports in Multi-Port Energy Routers
- Study of limiting capacity of distributed PV considering voltage quality control and source-load uncertainty
- MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services
- Research on Harmonic Characteristics of Renewable Energy Grid Connection
- Design of a Hierarchical SDN-Based Control Architecture for IEC 61850-Oriented Teleprotection Systems in Power Grids
- A High-Power Filtering Method with Parallel Structure of Fractional-Order Positive and Negative Inductor
- Energy-Efficient Large-Scale Vector Similarity Search in NAND-Flash via Hybrid Matching
- EmoVLM-KD: Fusing Distilled Expertise with Vision-Language Models for Visual Emotion Analysis
- Agro-Net: a Convolution-Attention Fusion Based Hyperspectral Model for Agro-Food Quality Assessment
- Nanoparticle Diameter Measurements with Event Camera Tracking
- BS-PDN-Last: Towards Optimal Power Delivery Network Design With Multifunctional Backside Metal Layers
- PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning
- Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual Illusions
- Accuracy Is Not Always We Need: Precision-Aware Bayesian Yield Optimization
- Rethinking the Role of Spatial Mixing
- Research on an Agent-Driven Knowledge Management System for Power Grid Infrastructure Projects
- Optimal Hybrid Transmit Beamforming for mm-Wave Integrated Sensing and Communication
- LLMs Meet Post-Silicon Test Engineering: A New Era (Invited)
- Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer
- Smooth Cache: A Universal Inference Acceleration Technique for Diffusion Transformers
- SSFT: Algorithm and Hardware Co-design for Structured Sparse Fine-Tuning of Large Language Models
- Shopformer: Transformer-Based Framework for Detecting Shoplifting via Human Pose
- Achieving ZVS in Asymmetrical Half-Bridge Structures: A Thorough Analysis
- Two-Stage XGBoost-Based Classification of Chili Fruit Grades Using Weekly Vegetative Features
- Detector-Free Image Matching with Lightweight Backbone and Feature Filtering
- Architecting Multi-Cloud Salesforce Integrations for Scalable Enterprise Applications
- HDC: Hierarchical Distillation for Multi-Level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation