Ying Wang

Design and Implementation of isually Analytic WebGISystem Based on Marine High-Definition Remote Sensing Data

2018

The Marine High-Definition Remote Sensing (MHDRS) is facing a massive increase of data stream that may result in the obstacle of the real-time processing, effective decision-making and low efficiency information collection. To address these problems, …

Neural Response Generation with Meta-words

2019

We present open domain response generation with meta-words. A meta-word is a structured record that describes various attributes of a response, and thus allows us to explicitly model the one-to-many relationship within open domain dialogues …

Research on Service Matching Technology of Fourth-Party Service Platform Based on Web Service-A Review

2020 · 2020 International Conference on Computer Information and Big Data Applications (CIBDA)

This article reviews and summarizes Web service matching technologies from the perspective of service matching for customers within fourth-party integrated service platform. It mainly uses Web service and its architecture as the entry point to …

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

2021 · Frontiers in Oncology

Objectives To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast cancer (EBC) patients with clinically negative ALN. Methods A total of …

The Functionality on NetPad

2021

Modern information technology-assisted teaching is an important teaching means. In mathematics teaching activities, graphical changes can be vividly displayed through dynamic geometry software (DGS). Function is the basic knowledge in mathematics, and the functionality is …

Anomaly detection of steam turbine with hierarchical pre‐warning strategy

2022 · IET Generation Transmission & Distribution

Abstract Anomaly detection of steam turbines is to recognize infrequent instances within sensor data that plays a vital role in stable power supply. Machine learning models have been applied to diagnose the faults of turbine …

Comprehensive evaluation of 5G+ smart distribution network based on combined weighting method-cloud model

2022 · Global Energy Interconnection

With the large-scale application of 5G technology in smart distribution networks, the operation effects of distribution networks are not clear. Herein, we propose a comprehensive evaluation model of a 5G+ smart distribution network based on …

Protection Route Optimization for Multimedia Services

2023

Ant colony algorithm finds better solution through positive feedback learning between ants and has good adaptability in different networks. This paper proposes a protection routing optimization algorithm based on ant colony optimization algorithm (PROA), which …

Application of PRA and Machine Learning Algorithm in Budget Data Acquisition and Processing System

2022

How to use automation, optimize the comprehensive budget management system, and help the automatic collection of budget data and budget preparation has become a growing concern for enterprises. This paper combines IT technologies such as …

A Restricted-Learning Network With Observation Credibility Inference for Few-Shot Degradation Modeling

2025 · IEEE Transactions on Automation Science and Engineering

Multiple sensors are widely used in the monitoring of the degradation process and prediction of the remaining useful lifetime (RUL) of units in complex engineering systems. However, ensuring the prognostic performance with only a few …

RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework

2025

Recent advances of large language models in the field of Verilog generation have raised several ethical and security concerns, such as code copyright protection and dissemination of malicious code. Researchers have employed watermarking techniques to …

How generative AI shapes user perceived value and adoption intention in digital museum experiences

2025 · npj Heritage Science

In the context of digital transformation, Generative AI is reshaping cultural heritage dissemination and museum user experiences. This study develops a value-based adoption model to examine how GenAI’s adaptability, perceived benefits, and perceived costs influence …

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

2021

Human-curated knowledge graphs provide critical supportive information to various natural language processing tasks, but these graphs are usually incomplete, urging auto-completion of them (a.k.a. knowledge graph completion). Prevalent graph embedding approaches, e.g., TransE, learn structured …