Publications (18)
Quantum noise limited nanoparticle detection with exposed-core fiber
Nicolas P. Mauranyapin, Lars S. Madsen, Larnii Booth +5
Label-free biosensors are important tools for clinical diagnostics and for studying biology at the single molecule level. The development of optical label-free sensors has allowed…
On class A Lorentzian 2-tori with poles II: Foliations by timelike lines
Liang Jin, Lu Peng, Xiaojun Cui
We show that if is a class A Lorentzian 2-torus with timelike poles, then there exists a Lipschitz foliation by complete future-directed timelike geodesics wit…
Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi +4
Prompt learning for vision-language models, e.g., CoOp, has shown great success in adapting CLIP to different downstream tasks, making it a promising solution for federated learnin…
Transformer-based Joint Source Channel Coding for Textual Semantic Communication
Shicong Liu, Zhen Gao, Gaojie Chen +2
The Space-Air-Ground-Sea integrated network calls for more robust and secure transmission techniques against jamming. In this paper, we propose a textual semantic transmission fram…
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks
Haoqiang Guo, Lu Peng, Jian Zhang +2
Recent studies identify that Deep learning Neural Networks (DNNs) are vulnerable to subtle perturbations, which are not perceptible to human visual system but can fool the DNN mode…
Large Language Models for Education and Research: An Empirical and User Survey-based Analysis
Md Mostafizer Rahman, Ariful Islam Shiplu, Md Faizul Ibne Amin +2
Pretrained Large Language Models (LLMs) have achieved remarkable success across diverse domains, with education and research emerging as particularly impactful areas. Among current…
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
Fudong Lin, Summer Crawford, Kaleb Guillot +14
Precise crop yield prediction provides valuable information for agricultural planning and decision-making processes. However, timely predicting crop yields remains challenging as c…
A multiscale mathematical model of tumour invasive growth
Lu Peng, Dumitru Trucu, Ping Lin +2
Known as one of the hallmarks of cancer [30], cancer cell invasion of human body tissue is a complicated spatio-temporal multiscale process which enables a localised solid tumour t…
Intelligent Multimodal Multi-Sensor Fusion-Based UAV Identification, Localization, and Countermeasures for Safeguarding Low-Altitude Economy
Yi Tao, Zhen Gao, Fangquan Ye +9
The development of the low-altitude economy has led to a growing prominence of uncrewed aerial vehicle (UAV) safety management issues. Therefore, accurate identification, real-time…
MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference
Wu Sai, Xia Ruichen, Yang Dingyu +9
The increasing demand for deep neural inference within database environments has driven the emergence of AI-native DBMSs. However, existing solutions either rely on model-centric d…
MolPaQ: Modular Quantum-Classical Patch Learning for Interpretable Molecular Generation
Syed Rameez Naqvi, Lu Peng
Molecular generative models must jointly ensure validity, diversity, and property control, yet existing approaches typically trade off among these objectives. We present MOLPAQ, a…
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Yihe Zhang, Bryce Turney, Purushottam Sigdel +11
Accurate and timely regional weather prediction is vital for sectors dependent on weather-related decisions. Traditional prediction methods, based on atmospheric equations, often s…
Quantum Vulnerability Analysis to Accurate Estimate the Quantum Algorithm Success Rate
Fang Qi, Kaitlin N. Smith, Travis LeCompte +4
While quantum computers provide exciting opportunities for information processing, they currently suffer from noise during computation that is not fully understood. Incomplete nois…
Breaking the Static Assumption: A Dynamic-Aware LIO Framework Via Spatio-Temporal Normal Analysis
Chen Zhiqiang, Le Gentil Cedric, Lin Fuling +5
This paper addresses the challenge of Lidar-Inertial Odometry (LIO) in dynamic environments, where conventional methods often fail due to their static-world assumptions. Traditiona…
Quantum Probabilistic Label Refining: Enhancing Label Quality for Robust Image Classification
Fang Qi, Lu Peng, Zhengming Ding
Learning with softmax cross-entropy on one-hot labels often leads to overconfident predictions and poor robustness under noise or perturbations. Label smoothing mitigates this by r…
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li, Lu Peng, Yuping Wang +1
This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) for advancing biome…
On class A Lorentzian 2-tori with poles I: Closed geodesics pass through poles
Lu Peng, Liang Jin, Xiaojun Cui
In this paper, by studying certain isometries on globally hyperbolic planes, we prove that if is a timelike pole on a class A Lorentzian 2-torus, then there exists a closed tim…
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
Peishen Yan, Jun Li, Hao Wang +5
Federated Learning (FL) is an innovative distributed machine learning paradigm that enables multiple parties to collaboratively train a model without sharing their raw data, thereb…