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Yangyang Wang

2000-02 | 男 | 汉族 | 中共党员 2000-02 | Male | Han Nationality | Full member of the CPC

我的GitHub主页（我的开源项目）：https://github.com/TheWangYang My GitHub HomePage : https://github.com/TheWangYang

我的CSDN主页（记录技术博客等）：https://blog.csdn.net/weixin_43749999 My Personal Blog(CSDN) Address : https://blog.csdn.net/weixin_43749999

我的Leetcode主页（我的刷题记录）：https://leetcode-cn.com/u/wyypersist My Leetcode HomePage ： https://leetcode-cn.com/u/wyypersist

教育经历(Education)

硕士学位，研究生在读，西安交通大学（985/211/双一流），人工智能与机器人研究所（人工智能学院），电子信息（人工智能）专业，2022年9月-2025年6月

Master Degree, Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics(IAIR), Electronic Information (Artificial Intelligence), September 2022 - June 2025

研1上下两个学期结束评定奖学金时，综合核算分数排名为：2/73（专业前2.7%） When the scholarship is evaluated at the end of the two semesters of graduate school 1, the comprehensive accounting score ranking is: 2/73 (top 2.7% of majors)

学士学位，本科，郑州大学（211/双一流），网络空间安全学院，软件工程专业，2018年9月-2022年6月

Bachelor Degree, Zhengzhou University, School of Cyberspace Security, Software Engineering, September 2018 - June 2022

本科全阶段成绩GPA排名：14/184（专业前7.6%） GPA of all undergraduate stages: 3.44 / 4.00 (14/184, top 7.6%)

本科全阶段综合排名（包含竞赛/专利/软著等加分项）：9/184（专业前4.89%） Comprehensive ranking of all undergraduate stages (including bonus points for competitions/patents/software, etc.): (9/184, top 4.89%)

保研至西安交通大学 Entered Xi'an Jiaotong University through recommendation interview

研究兴趣（Research Interest）

计算机视觉

Computer Vision

• 图片拼接/融合（硕士前期阶段做过探索，代码请见image_stitching_demo）, Image splicing/fusion (explored in the early stage of master’s degree)

• 工业领域缺陷检测（硕士阶段重点研究）, Defect detection in the industrial field (key research at the master's level)

• 神经网络场-NeRF（参加竞赛时做过一段时间探索，竞赛名次全球top13，参赛代码请见nerf_render_explore）, Neural Network Field-NeRF (I did some exploration for a while when I participated in the competition, and the competition ranked top 13 in the world)

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实习经历（Intern Experience）

计算机视觉算法工程师（实习），南京悠阔电气科技有限公司，2022年3月-2022年6月

Computer Vision Algorithm Engineer(intern), Nanjing Youkuo Electric Technology Co., Ltd., March 2022 - June 2022

• 与组内成员合作，对采集到的变压器表面部位图片进行数据标注、模型训练、获取onnx权重模型或tensorRT模型，并使用C++/Python编写部署推理API。, Cooperate with members of the group to annotate the collected images of the transformer surface, perform model training, obtain the onnx weight model or tensorRT model, and use C++/Python to write and deploy the inference API.

• 作为负责人，将部署在NVIDIA显卡上的算法移植到了寒武纪MLU卡上，主要使用寒武纪官方提供的docker镜像来加载部署验证环境。 首先对模型的pth权重进行量化，然后保存为.cambricon模型（Cambrian提供的离线格式模型）。 然后，使用寒武纪CNRT运行时库部署并加载离线模型，获取.so动态链接库，由业务端python脚本调用，完成批量图像推理。, As the person in charge, the algorithm deployed on the NVIDIA graphics card was ported to the Cambrian MLU card, mainly use the official docker image provided by Cambrian to load the deployment verification environment. First, quantize the pth weight, and then save it as a .cambricon model (offline model provided by Cambrian). Then, use the Cambrian CNRT runtime library to deploy and load the offline model to obtain the .so dynamic link library, which is called by the business-side python script to complete batch image reasoning.

• 作为负责人，对变压器故障识别方向做了相关的探索，代码请见dl_for_audio_classification, As the person in charge, I have made relevant explorations in the direction of transformer fault identification. For the code, please see dl_for_audio_classification

coming soon...

项目经历（Project Experience）

硕士阶段，缺陷检测算法软硬协同架构设计与系统集成-中国科技部-科技创新2030—“新一代人工智能”重大项目子课题 | 2021年10月-2023年10月

Master Period, Defect detection algorithm software and hardware collaborative architecture design and system integration-China Ministry of Science and Technology-Technological Innovation 2030-"New Generation Artificial Intelligence" major project sub-topic | October 2021-October 2023

• 项目简介：作为项目组的核心成员，主要负责支持成像与感知推理的检测、学习与决策系统设计与搭建（客户端基于vue框架编写，代码请见vue_admin_system_github; 服务端基于python+sanic异步框架编写，代码请见admin_system_server）、研究基于少样本学习的检测算法。前期工作主要是在自建数据集上使用较新的目标检测算法来验证和演示检测任务。我们提出了结合空间注意力机制的改进FCOS算法。目前工作主要集中在工业缺陷检测领域中利用异常样本较少和正常样本较多的无监督或半监督算法的研究（few-shot/zero-shot）。, Project Introduction: As a core member of the project team, he is mainly responsible for supporting the detection of imaging and perceptual reasoning, the design and construction of learning and decision-making systems, and the research of detection algorithms based on few-shot learning. The preliminary work is mainly to use newer target detection algorithms on self-built data sets to verify and demonstrate detection tasks. We propose an improved FCOS algorithm combined with a spatial attention mechanism. Current work is mainly focused on the research of unsupervised or semi-supervised algorithms (few-shot/zero-shot) that utilize fewer abnormal samples and more normal samples in the field of industrial defect detection.

• 项目取得成果（Project Achieved Results）

• IEEE Transactions on Instrumentation and Measurement(TIM, 二作/second author, JCR Q1/SCI Area 2) (在审, in process)

• 发明专利一项（二作，不含导师），“一种工业缺陷检测优化方法、系统、装置、设备及存储介质”, One invention patent (two works, excluding mentor), "an industrial defect detection optimization method, system, device, equipment and storage medium"

• 该项目已经在潍柴动力股份有限公司落地部署，截止目前已在生产线稳定运行30余天。 This project has been deployed at Weichai Power Co., Ltd. and has been running stably on the production line for more than 30 days so far.

• more coming soon...

本科阶段，基于机器学习的智能医疗柜 | 2021年3月-2021年5月

Bachelor Period, Intelligent Medical Cabinet Based on Machine Learning | March 2021-May 2021

• 项目简介：作为负责人，我组织团队成员开发了“基于机器学习的智能医疗柜”深度学习项目，我主要负责Web端、APP端和后端算法模块的开发。在查阅了相关文献并结合自身能力后，我决定将算法分析分为：收集数据预处理、老人健康指标、大量数据输入分类器、获得结果并可视化。, As the person in charge, I organized team members to develop the "Smart Medical Cabinet Based on Machine Learning" deep learning project. I was mainly responsible for the development of the Web, APP and back-end algorithm modules. After reviewing relevant literature and combining my own abilities, I decided to divide the algorithm analysis into: collecting data preprocessing, elderly health indicators, inputting large amounts of data into the classifier, obtaining results and visualizing them.

• 项目取得成果（Project Achieved Results）

• 该项目荣获2021年中国大学生计算机设计大赛河南省级赛三等奖, This project won the 2021 Chinese College Student Computer Design Competition Henan Provincial Third Prize.

本科阶段，SmartGloves智能数据手套 | 2020年5月-2020年9月

Bachelor Period, SmartGloves Intelligent Data Gloves | May 2020-September 2020

• 项目介绍：我作为团队核心成员完整参与了“SmartGloves智能数据手套”项目的研发过程，负责使用机器学习技术分析患者康复数据。该项目采用镜像疗法帮助患者进行手部康复。我将数据分析过程分为：收集数据、数据预处理、患者手指曲率回归预测、患者康复程度人工智能评估等步骤。, As a core member of the team, I fully participated in the research and development process of the "SmartGloves Intelligent Data Gloves" project, responsible for using machine learning technology to analyze patient rehabilitation data. This program uses mirror therapy to help patients with hand rehabilitation. I divide the data analysis process into the following steps: data collection, data preprocessing, patient finger curvature regression prediction, and artificial intelligence assessment of patient recovery.

• 项目取得成果（Project Achieved Results）

• 该项目荣获第十四届ICAN国际创新创业大赛三等奖, This project won the third prize of the 14th ICAN International Innovation Entrepreneurship Competition.

专业技能（Professional Skill）

编程语言（Programming Language）

• Java用作web开发+后端开发等, Java (used for web development + back-end development, etc.)

• Python用作深度学习任务+小型服务器系统快速实现+QT界面快速开发（代码请见defect_detection_qt）等, Python (used for deep learning tasks + rapid implementation of small server systems + rapid development of QT interface, etc.)

• C++(用作LeetCode等算法题), C++ (used for algorithm questions such as LeetCode)

• 熟练使用js/css/html/ajax异步交互框架/vue前端框架等构建前端页面，曾系统学习过vue前端框架，代码请见vue_basic_github、vue_examples_github

实操经验（Practical Experience）

• 大规模数据处理经验，曾参加2023年中国高校计算机大赛-大数据挑战赛，使用过xgboost,svm,cnn,lgbm,RandomForest等算法对数据进行分类和预测，代码请见thubdc，曾参加2023年“华为杯”第二十届中国研究生数学建模竞赛，作为主代码手完成了对数据的处理和预测分类，代码请见2023_huawei_mathematical_modeling, Experience in large-scale data processing, participated in the 2023 China University Computer Competition - Big Data Challenge (used xgboost, svm, cnn, lgbm, RandomForest and other algorithms to classify and predict data), participated in the 2023 "Huawei Cup" The 20th China Postgraduate Mathematical Modeling Competition (the main coder, completed the data processing, prediction and classification)

• 使用yolov5模型的onnx格式进行推理部署（单帧+实时），并封装为dll/so动态链接库，供其他语言调用，代码请见yolo_onnx_realtime_inference, Use the onnx format of the yolov5 model for inference deployment (single frame + real-time), and encapsulate it as a dll/so dynamic link library for calls from other languages. For the code, please see yolo_onnx_realtime_inference

• 熟悉Pytorch框架使用，可以搭建、训练、部署完整流程，曾系统地学习过《Deep Learning for Computer Vision with Python》一书（共三卷），代码请见Code_For_Deep_Learning_for_Computer_Vision_with_Python, I have systematically studied the book "Deep Learning for Computer Vision with Python" (three volumes in total). For the code, please see Code_For_Deep_Learning_for_Computer_Vision_with_Python

• 熟练使用openMMLab的MM系列框架（MMDetection/MMSegmentation/MMDeploy），使用MMDeploy做过模型部署，基于cpp/python+onnx模型提供不同语言接口，同时为了方便跨语言调用，还提供了cpp编写的dll/so动态链接库，代码请见my_mmdeploy_onnx_demo、python_mmdeploy_inference）, Proficient in using the MM series framework (MMDetection/MMSegmentation/MMDeploy) of openMMLab, and using MMDeploy for model deployment, based on the cpp/python+onnx model to provide different language interfaces, and at the same time In order to facilitate cross-language calls, a dll/so dynamic link library written in cpp is also provided. For the code, please see my_mmdeploy_onnx_demo、python_mmdeploy_inference）

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荣誉和奖励（Honors and Awards）

硕士阶段（截止目前）Master Period(until now)

• 2023年全球人工智能技术创新大赛 GigaRendering 基于千兆像素稀疏图像的全新视角渲染算法II赛道（代码请见nerf_render_explore） | 全球第13名 | 2023年6月, 2023 Global Artificial Intelligence Technology Innovation Contest-GigaRendering A New Perspective Rendering Algorithm Based on Gigapixel Sparse Images II Track | TOP20 | 2023.6

• 2023年第十三届中兴捧月全球精英算法挑战赛-图像处理赛道 | 区域优胜奖（超分辨率方向赛题，来自世界各地的近1200名选手参加了本次比赛的图像处理子赛道，其中前60名有机会进入复赛，参赛代码请见zte_image_processing_competition） | 2023年5月, The 13th ZTE Pengyue Global Elite Challenge in 2023 - Image Processing Track | Regional Excellence Award(Super-Resolution direction competition questions, Nearly 1,200 people from all over the world participated in the image processing sub-track of this competition, and the top 60 of them have the opportunity to win the regional award) | 2023.5

• 2023年“华为杯”第五届中国研究生人工智能创新大赛全国总决赛 | 国家级三等奖（前30%队伍获一、二、三等奖） | 2023年8月, 2023 "Huawei Cup" National Finals of the 5th China Postgraduate Artificial Intelligence Innovation Competition | Third Prize (30% chance of winning) | 2023.8

• 2023年华为嵌入式软件大赛（实物组）西北赛区 | 第36名 | 2023年6月, 2023 Huawei Embedded Software Contest (Physical Group) Northwest Division | TOP36 | 2023.6

• 2023年中国研究生电子设计大赛西北赛区技术赛道 | 西北赛区二等奖 | 2023年7月, 2023 China Postgraduate Electronic Design Competition Northwest Division Technology Track | Second Prize | 2023.7

• 2023年中国研究生电子设计大赛西北赛区商业计划赛道 | 西北赛区二等奖 | 2023年7月, 2023 China Postgraduate Electronic Design Competition Northwest Division Business Plan Track | Second Prize | 2023.7

• 2023年中国国际互联网+创新创业大赛西安交通大学校赛 | 银奖（前47%有望获得金奖、银奖、铜奖） | 2023年7月, 2023 China International Internet + Innovation and Entrepreneurship Competition Xi'an Jiaotong University School Competition | Silver Award (Second Prize, The top 47% are expected to win the bronze award, and the proportion of the silver award is even less) | 2023.7

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本科阶段 Bachelor Period

• 第十届中国软件杯大学生软件设计大赛决赛 | 国家级三等奖 | 2021年5月, Finals of the 10th China Software Cup College Student Software Design Competition | Third Prize | 2021.5

• 2020年中国大学生计算机大赛-微信小程序应用开发赛 | 二等奖 | 2020年7月, 2020 China University Computer Competition - WeChat Approval Application Development Raihua Shuangyai District | Second Prize | 2020.7

• 2021年美国大学生数学建模竞赛 | H奖 | 2021年4月, 2021 American College Students Mathematics Modeling Competition | Second Prize | 2021.4

• 2020年亚太地区大学生数学建模竞赛 | 国际二等奖 | 2021年1月, 2020 College Students Mathematics Modeling Competition | Second Prize | 2021.1

• 第十四届ICAN国际创新创业大赛中国区总决赛 | 国家级三等奖 | 2020年12月, Chinese Finals of the 14th ICAN International Innovation and Entrepreneurship Competition | Third Prize | 2020.12

• 第十四届ICAN国际创新创业大赛河南赛区 | 省级一等奖 | 2020年10月, Henan Division of the 14th ICAN International Innovation and Entrepreneurship Competition | First Prize | 2020.10

• 2021年中国大学生计算机设计大赛河南省级赛 | 省级三等奖 | 2021年5月, 2021 China University of Computer Design Competition Henan Provincial | Third Prize | 2021.5

• 2020-2021学年郑州大学二等奖学金 | 2021年12月, 2020-2021 Journal of Zhengzhou University | First-class Scholarship | 2021.12

• 2020-2021学年郑州大学三好学生 | 2021年12月, 2020-2021 school year Zhengzhou University | Three good students | 2021.12

• 2019-2020学年郑州大学一等奖学金 | 2020年12月, 2019-2020 Journal of Zhengzhou University | First-class Scholarship | 2020.12

• 2019-2020学年郑州大学三好学生 | 2020年12月, 2019-2020 school year Zhengzhou University | Three good students | 2020.12

• 2018-2019学年郑州大学二等奖学金 | 2019年12月, 2018-2019 Journal of Zhengzhou University | First-class Scholarship | 2019.12

• 2018-2019学年郑州大学三好学生 | 2019年12月, 2018-2019 school year Zhengzhou University | Three good students | 2019.12

综合素质（Comprehensive Quality）

社区和组织经验（Community and Organizational Experiences）

本科阶段，组织名称：优课达（杭州）网络有限公司郑州大学北校区俱乐部 | 2019年10月-2020年10月 Bachelor Period, Organization: Youkeda (Hangzhou) Network Co., Ltd. Zhengzhou University North Campus Club | Oct 2019 - Oct 2020

• 主要工作：我作为俱乐部负责人，在阿里巴巴技术专家的指导下定期组织技术交流。俱乐部会员技术在原有水平上有了很大的提高。, I have currently served as the head of Zhengzhou University North Campus Club, and regularly organized technical exchanges under the guidance of Alibaba technical experts.Club membership technology has been greatly improved in the original level.

英语能力（English Ability）

CET-4：545，CET-6：501，雅思总分：6.5，在研究生一年级期末阶段完成了4次全英答辩 English Level: CET-4:545, CET-6:501, IELTS(total):6.5, Completed 4 English defenses at the end of the first year of graduate school

爱好（Hobbies）

篮球（大学新生篮球赛二等奖）、电影、音乐、... Basketball (College New Student Collection Second Prize), Films, Music, ...

我对待学习的态度非常认真，不解决问题不罢休，也正是因为自己的这样一份坚持，才得以在本科阶段顺利保研攻读硕士研究生，并帮助自己完成了很多事情

联系我（Contact Me）

Email:[email protected]

QQ: 844817943

Phone & WeChat: 13803907433

地址：中国西安市西咸新区沣西新城西安交通大学创新港校区, Where am I now: Xi'an Jiaotong University Innovation Port Campus, Fengxi New City, Xixian New District, Xi'an City, China

邮政编码：710100, Postal Code: 710100

This page was last updated on October 10, 2023.