Erasure coding with wide stripes is increasingly adopted to reduce storage overhead in large-scale storage systems. However, existing Locally Repairable Codes (...
The use of Large Language Models (LLMs) as automatic judges for code evaluation is becoming increasingly prevalent in academic environments. But their reliabili...
Real-world AI software engineering demands coding agents that can reason over massive repositories, maintain durable memory across and within long sessions, and...
LLM-agent based binary code analysis has demonstrated significant potential across a wide range of software security scenarios, including vulnerability detectio...
The rising demand for collaborative machine learning and data analytics calls for secure and decentralized data sharing frameworks that balance privacy, trust, ...
Serverless computing has revolutionized cloud computing by offering an efficient and cost-effective way for users to develop and deploy applications without man...
This document reports the sequence of practices and methodologies implemented during the Big Data course. It details the workflow beginning with the processing ...
Modern cloud platforms increasingly host large-scale deep learning (DL) workloads, demanding high-throughput, low-latency GPU scheduling. However, the growing h...
Effective issue resolution is crucial for maintaining software quality. Yet developers frequently encounter challenges such as low-quality issue reports, limite...
Efficiency in optimisation and search processes persists to be one of the challenges, which affects the performance and use of optimisation algorithms. Utilisin...
The efficiency of modern machine intelligence depends on high accuracy with minimal computational cost. In spiking neural networks (SNNs), synaptic delays are c...
Representations pervade our daily experience, from letters representing sounds to bit strings encoding digital files. While such representations require externa...
