Wei Huang

Multi-user quantum key distribution with collective eavesdropping detection over collective-noise channels

2015 · Chinese Physics B

A multi-user quantum key distribution protocol is proposed with single particles and the collective eavesdropping detection strategy on a star network. By utilizing this protocol, any two users of the network can accomplish quantum key …

The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent

2019 · arXiv (Cornell University)

This paper studies how neural network architecture affects the speed of training. We introduce a simple concept called gradient confusion to help formally analyze this. When gradient confusion is high, stochastic gradients produced by different …

Device-Independent Quantum Private Query Protocol without the Assumption of Perfect Detectors

2019 · arXiv (Cornell University)

The first device-independent quantum private query protocol (MRT17) which is proposed by Maitra \emph{et al.} [Phys. Rev. A 95, 042344 (2017)] to enhance the security through the certification of the states and measurements. However, the …

Using Inputs and Context to Verify User Intentions in Internet Services

2019

An open security problem is how a server can tell whether a request submitted by a client is legitimately intended by the user or fakes by malware that has infected the user's system. This paper …

Research on Man-Machine Conversation System Based on GRU seq2seq Model

2020

Intelligent robot Q & A is a new focus in the field of natural language understanding and processing. In recent years, with the gradual maturity of deep learning technology, more and more research has begun …

Research on Building Exploitable Vulnerability Database for Cloud-Native App

2020 · 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

Due to issues such as static unverifiability and lack of effective application in vulnerability databases. This paper proposes a method of building Exploitable Vulnerability Database for Cloud-Native App (CNA). In this paper, a new machine-oriented …

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, …

Sequential Random Network for Fine-grained Image Classification

2021 · arXiv (Cornell University)

Deep Convolutional Neural Network (DCNN) and Transformer have achieved remarkable successes in image recognition. However, their performance in fine-grained image recognition is still difficult to meet the requirements of actual needs. This paper proposes a …

LSTM with compensation method for text classification

2021 · International Journal of Wireless and Mobile Computing

As a foundational task, text classification is widely used in the field of Natural Language Processing (NLP). In the recent research on text classification, neural network-based methods have produced promising results. Nevertheless, most previous works …

Research on Food Safety Data Sharing and Exchange Mechanism

2022

With the development of the economy and the improvement of people's quality of life, the public demand for food taste has gradually changed to the demand for food safety. In order to better facilitate the …

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs

2024 · arXiv (Cornell University)

Heterogeneous graph neural networks (HGNNs) have significantly propelled the information retrieval (IR) field. Still, the effectiveness of HGNNs heavily relies on high-quality labels, which are often expensive to acquire. This challenge has shifted attention towards …

Improved Deep Support Vector Data Description Model Using Feature Patching for Industrial Anomaly Detection

2024 · Sensors

In industrial contexts, anomaly detection is crucial for ensuring quality control and maintaining operational efficiency in manufacturing processes. Leveraging high-level features extracted from ImageNet-trained networks and the robust capabilities of the Deep Support Vector Data …

Verifiable, Access-Controllable, and Privacy-Preserving Multidimensional Data Aggregation based on Blockchain in Smart Grids

2024

With the development of the smart grids, terminal devices collect fine-grained sensitive data from users and achieve personalized functions. A large amount of data is sent to the control center to meet the needs of …

FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning

2025 · International Journal of Computational Intelligence Systems

As knowledge is time-sensitive, some researchers have started to focus on dynamic knowledge graphs to provide time-dimensioned knowledge content thus reflecting richer information. But they have not yet combined temporal information at different granularities. Also, …

Integrated high-performance LDPC decoder for Continuous-Variable Quantum Key Distribution System

2025

The throughput of the error correction decoding is one of the major bottlenecks of high-speed continuous-variable quantum key distribution (CV-QKD) systems and an integrated decoder with Gbps decoding throughput is implemented in this work.

Implementation of VR application in cultural and tourism integration under the background of smart city and IoT

2025 · Systems and Soft Computing

This study designs a WebGL virtual roaming system for tourist attractions in Internet of Things. Virtual reality technology and emotion analysis methods are used to construct virtual scenic spots by applying virtual reality technology in …

Online Learning for Function Placement in Serverless Computing

2025

We study the placement of virtual functions aimed at minimizing the cost. We propose a novel algorithm, using ideas based on multi-armed bandits. We prove that these algorithms learn the optimal placement policy rapidly, and …

On the Role of Label Noise in the Feature Learning Process

2025 · arXiv (Cornell University)

Deep learning with noisy labels presents significant challenges. In this work, we theoretically characterize the role of label noise from a feature learning perspective. Specifically, we consider a signal-noise data distribution, where each sample comprises …

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment

2025 · arXiv (Cornell University)

Current open-source training pipelines for Chinese medical language models predominantly emphasize optimizing training methodologies to enhance the performance of large language models (LLMs), yet lack comprehensive exploration into training data processing. To address this gap, …

Iterative partition-search variational quantum algorithm for solving the shortest-vector problem

2026 · Physical Review A

The Partition Search Algorithm (PSA) and Iterative Quantum Optimization with an Adaptive Problem (IQOAP) are leading variational quantum algorithms for solving Shortest Vector Problem (SVP). However, each has limitations that restrict its practical impact. IQOAP …