Publications (9)
Improving quantum parameter estimation by monitoring quantum trajectories
Yao Ma, Mi Pang, Libo Chen +1
Quantum-enhanced parameter estimation has widespread applications in many fields. An important issue is to protect the estimation precision against the noise-induced decoherence. H…
SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
Pengzhou Cheng, Wei Du, Zongru Wu +4
Although pre-training achieves remarkable performance, it suffers from task-agnostic backdoor attacks due to vulnerabilities in data and training mechanisms. These attacks can tran…
An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification
Jiaqi Xing, Libo Chen, ZeZheng Zhang +2
Gradient descent computed by backpropagation (BP) is a widely used learning method for training artificial neural networks but has several limitations: it is computationally demand…
Improved probabilistic seismic demand-intensity relationship: heteroskedastic approachs
Libo Chen
As an integral part of assessing the seismic performance of structures, the probabilistic seismic demand-intensity relationship has been widely studied. In this study, the phenomen…
Seismic fragility curves fitting revisited: ordinal regression models and their generalization
Libo Chen
This study revisits the modeling of seismic fragility curves by applying ordinal regression models, offering an alternative to the commonly used log-normal distribution function. I…
Parasites in the Toolchain: A Large-Scale Analysis of Attacks on the MCP Ecosystem
Shuli Zhao, Qinsheng Hou, Zihan Zhan +6
Large language models(LLMs) are increasingly integrated with external systems through the Model Context Protocol(MCP),which standardizes tool invocation and has rapidly become a ba…
Optomechanical steady state entanglement induced by electrical interaction
ChunNian Ren, JianQi Zhang, Libo Chen +1
We propose a scheme for generating remote continuous steady-state entanglement of output light leaked from optomechanical system, in which two mechanical oscillators are coupled th…
Preparing Spin Squeezed States via Adaptive Genetic Algorithm
Yiming Zhao, Libo Chen, Yong Wang +2
We introduce a novel strategy employing an adaptive genetic algorithm (GA) for iterative optimization of control sequences to generate quantum nonclassical states. Its efficacy is…
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Keke Lian, Bin Wang, Lei Zhang +19
The increasing adoption of large language models (LLMs) in software engineering necessitates rigorous security evaluation of their generated code. However, existing benchmarks ofte…