Hao Wu

Army Tactical Information System Software Framework Based on SOA Design

2015

In order to establish effective real-time tactical information integration and sharing system proposed framework Army tactical information system software based on service-oriented, and focused description of the software framework consisting of two important messaging middleware …

A Selective Mirrored Task Based Fault Tolerance Mechanism for Big Data Application Using Cloud

2019 · Wireless Communications and Mobile Computing

With the wide deployment of cloud computing in big data processing and the growing scale of big data application, managing reliability of resources becomes a critical issue. Unfortunately, due to the highly intricate directed-acyclic-graph (DAG) …

Aspect-driven User Preference and News Representation Learning for News Recommendation

2021 · arXiv (Cornell University)

News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news. Most of existing news recommender systems usually learn topic-level representations of users …

QCA-Net: Quantum-based Channel Attention for Deep Neural Networks

2023

The channel attention mechanism, which adaptively recalibrates each channel's weight, can enhance the performance of deep neural networks. Most channel attention modules use simple pooling operations to aggregate spatial information. The drawback is the incapability …

Speech-driven Personalized Gesture Synthetics: Harnessing Automatic Fuzzy Feature Inference

2024 · arXiv (Cornell University)

Speech-driven gesture generation is an emerging field within virtual human creation. However, a significant challenge lies in accurately determining and processing the multitude of input features (such as acoustic, semantic, emotional, personality, and even subtle …

Efficient and Provably Convergent Computation of Information Bottleneck: A Semi-Relaxed Approach

2024 · arXiv (Cornell University)

Information Bottleneck (IB) is a technique to extract information about one target random variable through another relevant random variable. This technique has garnered significant interest due to its broad applications in information theory and deep …

Rapid Detection of QR Code Based on Histogram Equalization-Yolov5

2023

With the rapid development of mobile internet, the popularization of 5G, and the popularization of smartphone terminals, the coverage of Wi Fi is expanding, and the use of QR codes in outdoor advertising is also …

Web Service QoS Prediction via Extended Canonical Polyadic-based Tensor Network

2024 · arXiv (Cornell University)

Today, numerous web services with similar functionalities are available on the Internet. Users often evaluate the Quality of Service (QoS) to choose the best option among them. Predicting the QoS values of these web services …

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation

2024 · arXiv (Cornell University)

In the federated learning (FL) process, since the data held by each participant is different, it is necessary to figure out which participant has a higher contribution to the model performance. Effective contribution assessment can …

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning

2024 · arXiv (Cornell University)

Forensic pathology is critical in determining the cause and manner of death through post-mortem examinations, both macroscopic and microscopic. The field, however, grapples with issues such as outcome variability, laborious processes, and a scarcity of …

Diverse Transformation-Augmented Graph Tensor Convolutional Network for Dynamic Graph Representation Learning

2024

A dynamic graphs (DG) is frequently adopted to describe the evolving interactions between nodes in real-world applications such as device communication networks. Temporal patterns are the natural characteristics of DG and are also the key …

Real-Time Event Recognition of Long-Distance Distributed Vibration Sensing With Knowledge Distillation and Hardware Acceleration

2025 · IEEE Internet of Things Journal

Fiber-optic sensing, especially distributed optical fiber vibration (DVS) sensing, is gaining importance in Internet of Things (IoT) applications, such as industrial safety monitoring and intrusion detection. Despite their wide application, existing post-processing methods that rely …

Study on a Method for Determining Fertilizer Type and Concentration Based on Fertilizer Dielectric Constant and Electrical Conductivity

2025 · Advances in Engineering Technology Research

The rapid detection of fertilizer solutions plays a crucial role in automated mixing or precise variable-rate fertilization. This paper proposes a method for detecting the type and concentration of single-element fertilizers. The experiment focuses on …

Optimized Multi-Scale Semantic Parameter Selection and Transmission for Vehicular Edge Computing Networks

2025

With the advancement of intelligent driving technology, vehicular networks generate vast amounts of decentralized data that need to be processed. As a distributed paradigm, Federated Learning (FL) enables data integration and processing across various vehicles. …

Detecting State Manipulation Vulnerabilities in Smart Contracts Using LLM and Static Analysis

2025 · arXiv (Cornell University)

An increasing number of DeFi protocols are gaining popularity, facilitating transactions among multiple anonymous users. State Manipulation is one of the notorious attacks in DeFi smart contracts, with price variable being the most commonly exploited …

Joint Reasoning for Temporal and Causal Relations

2018

Understanding temporal and causal relations between events is a fundamental natural language understanding task. Because a cause must occur earlier than its effect, temporal and causal relations are closely related and one relation often dictates …

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

2021 · arXiv (Cornell University)

Code representation learning, which aims to encode the semantics of source code into distributed vectors, plays an important role in recent deep-learning-based models for code intelligence. Recently, many pre-trained language models for source code (e.g., …