Haozhuo Tong | Analysis of time series | Best Researcher Award

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Mrs.Zuyong Yan | Design of Materials | Best Researcher Award

Mrs.Haozhuo Tong , Xijing University, China.

Mrs. Haozhuo Tong is a distinguished academic affiliated with Xijing University in China. She is recognized for her expertise in [insert field or specialization], with a focus on [mention specific areas of research or teaching]. Mrs. Tong’s contributions to academia include [briefly mention notable achievements, publications, or research projects]. She is dedicated to advancing knowledge and fostering academic excellence at Xijing University, making significant impacts in her field both locally and internationally.

Publication Profile

Orcid

Education  :

Xijing University,Electronic Information Master’s Degree (August 2021 – January 2024),Research Direction: Deep learning, time series analysis, model optimization,Research Results,”Design of Distributed Student Management System Based on Spring Cloud Framework” (published,”Deep Learning-Based Distantly Supervised Relation Extraction” (published),”Segmented Frequency Domain Correlation Prediction Model for Long-Term Series Forecasting using,Transformer”

Work Experience:

Science and Technology Group Corporation Cloud Network Technology Co., Ltd.,Java Development InternMay 2022 – October 2022,School of Mobile Communications, Network and Information Management Center,Java Development Engineer,October 2018 – April 2020

Technical Skills:

Blockchain Development: Proficient in Solidity with experience in ERC20 token standards and development frameworks like Truffle and Hardhat.,Web Development: Skilled in Next.js, React, Vue.js, and Material UI for building responsive and efficient frontend interfaces.,Backend Development: Experienced in JavaSE, Spring, SpringBoot, MyBatis, MySQL, Redis, and RocketMQ for building robust server-side applications.,Development Tools: Proficient with Git, Docker, and CI/CD pipelines for version control and deployment automation.,Database Management: Expertise in SQL optimization, with hands-on experience in MySQL and Redis databases.

Awards and Honor:

  • Research: Published papers and ongoing research in deep learning and time series analysis
  • Competitions: Multiple awards in national and regional university computer competitions

Skills:

  • Technical Skills: Deep learning, time series analysis, model optimization, ERC721, Solidity, Hardhat, Remix, Next.js, Material UI
  • Tools: RainbowKit, wagmi, Spring Cloud Framework

Project Experience:

Rainbow Horse NFT Trading Platform (November 2023 – December 2023),Project Description: Implemented and innovated functions for an NFT platform:,Minting random NFTs,Synthesizing NFTs,Trading NFTs,Platform management,Technologies Used: ERC721 (OpenZepplin), Hardhat, Remix, Next.js, Material UI, RainbowKit, wagmi

Publications 📚📝

  • istributed Student Management System Design Based on Spring Cloud Framework
    • Description: This paper has been published.
  • Deep Learning-Based Distantly Supervised Relation Extraction
    • Description: This paper has been published.
  • Segmented Frequency Domain Correlation Prediction Model for Long-Term Series Forecasting using Transformer
    • Description: This paper is currently under review.