Shuang Wang

Weighted key enumeration for EM-based side-channel attacks

2018

Key enumeration algorithm is one of the useful post-analysis techniques for side-channel attacks to reduce the data complexity for successful key recovery. Normally, it is assumed that the merged key lists have similar quality since …

Finite-key analysis for round-robin-differential-phase-shift quantum key distribution

2020 · Optics Express

Since the round-robin-differential-phase-shift (RRDPS) quantum key distribution (QKD) protocol was proposed, it has attracted much attention due to its unique characteristic i.e., it can bind the amount of information leakage without monitoring signal disturbance. Recently, …

Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation

2018 · IACR Cryptology ePrint Archive

Background: Learning a model without accessing raw data has been an intriguing idea to security and machine learning researchers for years. In an ideal setting, we want to encrypt sensitive data to store them on …

Research on text retelling based on Seq2Seq

2021

With the development of deep learning, natural language processing technology has gradually been applied to various fields, such as information extraction, machine translation, and question answering systems. Among them, the task of text retelling is …

Research on the Construction Method of University Graduates Employment Quality Analysis Database

2022

research-article Share on Research on the Construction Method of University Graduates Employment Quality Analysis Database Authors: Chunlei Zhang Heilongjiang Bayi Agricultural University, China Heilongjiang Bayi Agricultural University, ChinaSearch about this author , Guoxin Han School …

FastATDC: Fast Anomalous Trajectory Detection and Classification

2022 · 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

Automated detection of anomalous trajectories is an important problem with considerable applications in intelligent transportation systems. Many existing studies have focused on distinguishing anomalous trajectories from normal trajectories, ignoring the large differences between anomalous trajectories. …

A Patch Diversity Transformer for Domain Generalized Semantic Segmentation

2023 · IEEE Transactions on Neural Networks and Learning Systems

Domain generalization (DG) is one of the critical issues for deep learning in unknown domains. How to effectively represent domain-invariant context (DIC) is a difficult problem that DG needs to solve. Transformers have shown the …

Measurement-Device-Independent Quantum Key Distribution with Practical Spontaneous Parametric Down-Conversion Sources

2023 · Physical Review Applied

Measurement-device-independent (MDI) quantum key distribution (QKD) closes all the loopholes in the detection side, which greatly improves the practical security of QKD. Spontaneous parametric down-conversion (SPDC) sources play a significant role in MDI QKD by …

Few-Shot MS and PAN Joint Classification With Improved Cross-Source Contrastive Learning

2024 · IEEE Transactions on Geoscience and Remote Sensing

The joint classification of multispectral (MS) and panchromatic (PAN) images aims to provide a more detailed and accurate interpretation of land features. Although deep-learning-based methods have achieved remarkable success in this task, the generalization performance …

Artificial intelligence in crisis management: a bibliometric analysis

2024 · The Journal of Operational Risk

Artificial intelligence (AI) has gained increasing attention in the realm of crisis management research. It provides solutions for firms to better anticipate, address and learn from adversity to achieve sustainable growth and boost competitiveness. However, …

Federated Subgraph Learning via Global-Knowledge-Guided Node Generation

2025 · Sensors

Federated graph learning (FGL) is a combination of graph representation learning and federated learning that utilizes graph neural networks (GNNs) to process complex graph-structured data while addressing data silo issues. However, during the local training …

AFLNet: Auxiliary Feature Learning-Guided Cross-Channel Automatic Modulation Classification

2025 · IEEE Transactions on Communications

This paper conducted a thorough investigation into the primary difficulty of the cross-channel automatic modulation classification (AMC) task by examining data distribution and feature space of different channel conditions. We concluded that the disruption of …

Context-Aware Online Model Splitting and Device Association for Semi-Decentralized Federated Learning in Internet of Things

2026 · Sensors

As a distributed approach to Artificial Intelligence (AI) model construction over wireless networks, federated learning (FL) based on multi-device collaborative training can protect data privacy, as well as increase the computing load of local model …