GitHub

CGBridge: Bridging Code Graphs and Large Language Models for Better Structure-Aware Code Understanding

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
IEEE

The Power of Graph Signal Processing for Chip Placement Acceleration

Abstract: Placement is a critical task with high computation complexity in VLSI physical design. Modern analytical placers formulate the placement objective as a nonlinear optimization task, which ...
IEEE

Impact of Angle-Voltage Coupling on Small-Signal Stability of Power Systems: A Damping Perspective

Abstract: The rise of inverters integrated into power systems has raised enormous concerns about potential system instability. This paper aims to investigate the correlation between phase-angle and ...
Barron's

Fed Officials Signal More Cuts Could Come in 2026: Minutes

Federal Reserve officials were more divided over December’s rate cut than the tally of votes from the meeting suggested. The minutes showed that several policymakers who supported the move said they ...
First Coast News

WARNING: Could Kamario Taylor’s Surgery SIGNAL A Deeper PROBLEM for Mississippi State’s Coaching Staff?

WARNING: Could Kamario Taylor’s Surgery SIGNAL A Deeper PROBLEM for Mississippi State’s Coaching Staff? Mississippi State QB Kamario Taylor's ankle surgery, transfer portal updates, and basketball ...
IEEE

A Demonstration of a Wideband Low-Complexity Multibeam Analog Beamforming Network

Abstract: This work proposes using a sparse factorization of the multibeam delay Vandermonde matrix (DVM) for reducing the complexity of multibeam analog beamformers. The example of a proof-of-concept ...
IEEE

STMGCN: A Spatiotemporal Multi-Graph Convolutional Networks for Real-Time Intelligent Transportation Traffic Flow Prediction

Abstract: The Internet of Things (IoT) and artificial intelligence (AI) are essential for intelligent transportation systems (ITS) because they allow for real-time decision-making, predictive ...
IEEE

A Radar Signal Open-Set Deinterleaving Method Based on Laplacian Pyramid Reconstruction and Adversarial Reciprocal Point Learning

Abstract: Radar signal deinterleaving is a challenging task in complex electromagnetic environments. This work proposes a method for accurately deinterleaving known and unknown radar radiation sources ...
IEEE

Unsupervised Radar Signal Sorting Method Based on Co-Optimization of Feature Fusion and Data Augmentation

Abstract: In electronic countermeasure scenarios such as radar jamming or spectrum congestion, traditional radar emitter signal-sorting methods face significant challenges due to limited prior ...
IEEE

Large-Signal Modeling of a Solid-State Transformer for Power Flow Validation in RTDS

Abstract: The use of real-time digital simulation (RTDS) has become an effective alternative for validating control and power flow strategies in modular power converters for low-voltage (LV) ...
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...