# Resume # Sangmin Lee Machine Learning Engineer --- ![Image](https://upload.cafenono.com/image/slashpageHome/20231207/094139_9hrnd1e2GAV6fhGC68?q=75&s=1280x180&t=outside&f=webp) "저는 `Machine Learning Engineer`을 목표로 `경기대학교`에서 `공학사`, `이학석사`를 취득하였고, 해당 과정을 통해 연구 경력은 `4년`을 쌓았으며 다양한 분야의 역량 향상을 위해 노력해왔습니다. 경험을 통해 쌓은 문제해결역량을 통해 산업 발전에 기여하는 것이 목표입니다." Technical Writer @Slashpage --- [https://linkedin.com/in/mean42](https://linkedin.com/in/mean42) [https://ideal96.notion.site](https://ideal96.notion.site) [https://d9249.github.io/](https://d9249.github.io/) [https://url.kr/gc24m3](https://url.kr/gc24m3) [mailto:dodo9249@gmail.com](mailto:dodo9249@gmail.com) --- # Education I am pleased to introduce my educational background. Kyonggi University / M.S. of Computer Science (2022.03 ~ 2024.02) G. P. A: 4.25 / 4.5 Transcript: [https://drive.google.com/file/d/1M9FXnkug1mlgOMzFjaqaePkw-dTLapX-](https://drive.google.com/file/d/1M9FXnkug1mlgOMzFjaqaePkw-dTLapX-) Graduate Certificate: [https://drive.google.com/file/d/1MAzl9yFkpjk7_8OnHp7P3RMP70OTpuuW ](https://drive.google.com/file/d/1MAzl9yFkpjk7_8OnHp7P3RMP70OTpuuW)Research Field : Network, Deep Learning (Recommendation System, Computer Vision, Graph Neural Network) Advisor : Prof. Namgi Kim (Kyonggi university) --- Kyonggi University / B.S. of Computer Engineering (2015.03 ~ 2022.02) G. P. A: 3.62 / 4.5 Transcript: [https://drive.google.com/file/d/1M787Fnq8NTA9b-NVVdzjAuyuUKxQutPD](https://drive.google.com/file/d/1M787Fnq8NTA9b-NVVdzjAuyuUKxQutPD) Graduate Certificate: [https://drive.google.com/file/d/1M98UlQGH_CCHMAJs8Lhc2LCZxLdBqfc7](https://drive.google.com/file/d/1M98UlQGH_CCHMAJs8Lhc2LCZxLdBqfc7) Research Field : Deep Learning(Computer Vision) --- # Honors & Awards The honors I have had and the awards I have received are as follows. # Top 0.04% DACON Competition Rank 11th / 104,243th (2024.03.26) # Top 4.41% DACON Code Sharing Rank 110th / 2,495th (2024.02.27) # 212 EA Programmers Ranking 18,378th, 1,421 point (2024.01.27) # 87,863th BAEKJOON Rank: Silver 5 (2024.01.27) # Participation Kyonggi University Department of AI and Computer Science No. 2021-0005 # Best Paper Paper: Health Trainer Web Services with PostNet KIIT, No. 21-222 --- # Publication The results of my efforts to build artificial intelligence capabilities are as follows. ## Master’s thesis ### Optimization methods of Graph Convolution Networks for Recommendation Systems Master’s thesis, UCI: I804:41002-000000057783, 22 February 2024. dCollection: [http://www.dcollection.net/handler/kyonggi/000000057783](http://www.dcollection.net/handler/kyonggi/000000057783), 1st author. ## International journal ### Deep Learning Model Ensemble for the Accuracy of Classification Degenerative Arthritis SCIE(Q2)-Computers Materials & Continua (CMC), vol. 75, no. 1, pp. 1981-1994, 2023. DOI: [https://doi.org/10.32604/cmc.2023.035245](https://doi.org/10.32604/cmc.2023.035245), 1st author. ### Weighted Forwarding in Graph Convolution Networks for Recommendation Information System SCIE(Q2)-Computers Materials & Continua (CMC), vol. 78, no.2, pp. 1897–1914, 2024. DOI: [https://doi.org/10.32604/cmc.2023.046346](https://doi.org/10.32604/cmc.2023.046346), 1st author. ### Embedding Enhancement method for LightGCN in Recommendation Information Systems SCIE(Q3)-KSII Transactions on Internet and Information Systems(TIIS), Reviewing. DOI: , 1st author ### Learning optimization method for Graph Neural Network-Based Graph Convolutional Network Optimization SCIE(Q2)-Institute of Electrical and Electronics Engineers, Incorporated Access, Editing. DOI: , 1st author ## International conference ### Egress Initialization for Graph Convolution Network in Recommendation Systems - The 15th International Conference on Internet (ICONI 2023), 1st author. - Paper: [https://drive.google.com/file/d/1NOZhATzb0IiM_4R9Q1kPt3Q9iUbmxgLW](https://drive.google.com/file/d/1NOZhATzb0IiM_4R9Q1kPt3Q9iUbmxgLW) ### Thin Graph Convolution Network in Recommendation Systems - The 15th International Conference on Internet (ICONI 2023), 1st author. - Paper: [https://drive.google.com/file/d/1NOuPfeNwhXyLCmEkHJJZrL7TvkTqdA7K](https://drive.google.com/file/d/1NOuPfeNwhXyLCmEkHJJZrL7TvkTqdA7K) ### Over-smoothing in LightGCN doesn’t happen much - The 15th International Conference on Internet (ICONI 2023), 1st author. - Paper: [https://drive.google.com/file/d/1NY5f-mC0upgpc6RrEzRSM0LLlvHM8pT-](https://drive.google.com/file/d/1NY5f-mC0upgpc6RrEzRSM0LLlvHM8pT-) ### Leverage time-based data to improve recommendation system accuracy - The 18th Asia Pacific International Conference on Information Science and Technology(APIC-IST), 1st author - Paper: [https://drive.google.com/file/d/1NpnzKgpIXi9hj3ppNdHPUZ_Z1uul6kXE](https://drive.google.com/file/d/1NpnzKgpIXi9hj3ppNdHPUZ_Z1uul6kXE) ### Using Deep Learning for Medical Automation in Diagnosis of Degenerative Arthritis - The 8th international Conference for Small and Medium Business 2023(ICSMB), 1st author - Paper: [https://drive.google.com/file/d/1NkRMAtIfoBin7RqoAcx3uSSTXPkHTLTq](https://drive.google.com/file/d/1NkRMAtIfoBin7RqoAcx3uSSTXPkHTLTq) ### Classification of degenerative arthritis using Xception model in radiographic images - The 17th Asia Pacific International Conference on Information Science and Technology(APIC-IST), 1st author - Paper: [https://drive.google.com/file/d/1NnIDjIx2_sI47TagEIhxfezrRhfNMO8f](https://drive.google.com/file/d/1NnIDjIx2_sI47TagEIhxfezrRhfNMO8f) - This paper was selected as one of the best papers of APIC-IST 2022 and recommended for publication in CMC-Computers, Materials & Continua (CMC). ## Domestic journal ### Analyzing the use of time-based user behavior data to improve the performance of graph neural network-based recommendation systems - KCI-The Journal of Korean Institute of Information Technology(JKIIT), vol. 21, No. 5, pp. 21-28, 2023, ISSN: 1598-8619 (Print) 2093-7571 (Online) - DOI : [https://doi.org/10.14801/jkiit.2023.21.5.21](https://doi.org/10.14801/jkiit.2023.21.5.21), 1st author ### Improved Pancreas Segmentation using Multiple Concatenated U-Net Model for Medical Image Systems - KCI-The Journal of Korean Institute of Information Technology(JKIIT), vol. 20, No. 5, pp. 81-87, 2022, ISSN: 1598-8619 (Print), 2093-7571 (Online)[https://doi.org/10.14801/jkiit.2022.20.5.81](https://doi.org/10.14801/jkiit.2022.20.5.81), 1st author - DOI: [https://doi.org/10.14801/jkiit.2022.20.5.81](https://doi.org/10.14801/jkiit.2022.20.5.81), 1st author ## Domestic conference ### Analysis of performance of unsupervised anomaly detection methods according to anomaly score threshold selection criteria - KSII Summer Conference, 2023, 2st author - Paper: [https://drive.google.com/file/d/1NIr8MxxH8JAoxbwJsOt9i0YaEzMe2tkv](https://drive.google.com/file/d/1NIr8MxxH8JAoxbwJsOt9i0YaEzMe2tkv) ### Analysis of Traffic Flow Prediction Performance According to Spatial-Temporal Attention Module Structures in GNN-based Deep Learning Model - KSII SPRING Conference, 2023, 2st author - Paper: [https://drive.google.com/file/d/1NGGQBCDCT_oFME2FsqLbGo4FdPtrk2qz](https://drive.google.com/file/d/1NGGQBCDCT_oFME2FsqLbGo4FdPtrk2qz) ### Time-based data Analysis for improving recommendation system performance - KSII SPRING Conference, 2023, 1st author - Paper: [https://drive.google.com/file/d/1NER2aVumQcQB_KhpF22YXf7wNW7mjgCp](https://drive.google.com/file/d/1NER2aVumQcQB_KhpF22YXf7wNW7mjgCp) ### A Study on the Flow Classification Method Using Auto-Encoder Model in SDN Environment - KICS Winter Conference, vol.80, 2023, ISSN 2383-8302, 2023, 3st author - Paper: [https://drive.google.com/file/d/1N8e6NUy7Qo80dZykoEiFSgVkHW02kuI4](https://drive.google.com/file/d/1N8e6NUy7Qo80dZykoEiFSgVkHW02kuI4) ### Optimizing caching servers using a recommender system - SEBS Fall Conference, 2022, 1st author - Paper: [https://drive.google.com/file/d/1N4MvBWUqUenyc99KjX_l64IOtZxyEcup](https://drive.google.com/file/d/1N4MvBWUqUenyc99KjX_l64IOtZxyEcup) ### Implementation of attendance system through RFID tags - KSII SPRING Conference, 2022, 3st author - Paper: [https://drive.google.com/file/d/1MviIHIG6TfhDdKguF70f5P4XSoqd8F6w](https://drive.google.com/file/d/1MviIHIG6TfhDdKguF70f5P4XSoqd8F6w) ### Accuracy analysis of convolutional neural network models for overlapped character image classification - KSII Fall Conference, 2021, 1st author - Paper: [https://drive.google.com/file/d/1MvdD6_Md7dS1X9yA-cH_MxtGLLM2sOAv](https://drive.google.com/file/d/1MvdD6_Md7dS1X9yA-cH_MxtGLLM2sOAv) ### Health Trainer Web Services with PostNet - Proceedings of KIIT Conference, pp. 729 - 733. 2021.06, 1st author - Paper: [https://drive.google.com/file/d/1MvL7frWl2c1aJuPDspkuF-J4_2EkhG3](https://drive.google.com/file/d/1MvL7frWl2c1aJuPDspkuF-J4_2EkhG3) - KIIT Best Paper Award --- # Project The projects to develop my software skills are as follows. # 💬 Optimizing GCN for Recsys (23.01 ~ 23.12) WF Technique, Egress Technique, Non-combination architecture - Role: Project leads and researchers - Research Field : Graph Convolutional Network, Recommendation Systems, Optimization techniques. - Project result: [https://github.com/d9249/WFGR](https://github.com/d9249/WFGR), [https://github.com/d9249/OptGCN](https://github.com/d9249/OptGCN) - Description: During the second year of his master's program, he proposed WF technique, Egress technique and Non-combination architecture for optimizing graph convolutional networks in recommendation systems, and improved learning speed and accuracy through this project. # 🗃️ Smart I.o.T Lab Homepage (21.12 ~ 22.04) - Role: Front Developer - Skill : Vue.js, Node.js, JavaScript - Project Result: [https://netlab.kyonggi.ac.kr/](https://netlab.kyonggi.ac.kr/) - [](https://netlab.kyonggi.ac.kr/)Description: Creation of the Smart I.o.T Lab website and addition of features commissioned by Prof. Nam-Ki Kim # 🧞‍♂️ IA^2S (Image Analysis Automation System) (21.10 ~ 22.02) - Role: Team Leader, Front Developer - Skill : JavaScript, Django, OpenCV, Python 3.7. - - Project Result: [https://github.com/HHFEHH/crack-automation](https://github.com/HHFEHH/crack-automation) - [](https://github.com/HHFEHH/crack-automation)Description: Web services for crack flattening, crack length measurement, and data automation to improve existing methods for physical exterior wall repair and building maintenance companies. # 📔 **Fit-sibang (**21.03 ~ 21.06) - Role: Team Leader, Front Developer - - Skill : React.js, Node.js, JavaScript - Project Result: [https://github.com/KGU-Code-15/fit-sibang](https://github.com/KGU-Code-15/fit-sibang)I - [](https://github.com/KGU-Code-15/fit-sibang)Description: Made as a web app, it can be accessed on any device and helps you exercise through posture estimation using AI. --- # External Activities Activities to develop my communication and research skills are as follows. # 💬 LG Aimers (24.01 ~ 24.02) - Role: 4th semester. - - Link: [https://github.com/d9249/LG_Aimers](https://github.com/d9249/LG_Aimers) - - Research Field: Deep Learning - Description: LG Aimers is LG Group's youth education program that provides AI education and the opportunity to experience participating in AI hackathons that deal with LG's actual data. - # 🗃️ Pseudo-lab (22.09 ~ 22.11) - Team: 그래프로 설득하기. - Link:[https://www.notion.so/chanrankim/ac12010e21af4431a5f3e8ae2bdc4ee3?pvs=4](https://www.notion.so/chanrankim/ac12010e21af4431a5f3e8ae2bdc4ee3?pvs=4) - Research Field : Graph Neural Network - Description: Conduct projects in their respective domains that utilize Graph to solve real-world needs, from defining the problem to why the need should be met with Graph. - # 🧞‍♂️ DIYA (21.03 ~ 23.02) - 4th Team: Computer Vision - Role: Team members - Research Field : Deep Learning, Computer Vision(paper review, participate in competition). --- - 5th Team: Computer Vision, Graph Neural Network, Pytorch - Role: Team members - Research Field : Computer Vision, Graph Neural Network, Deep Learning. - Certificate: [https://drive.google.com/file/d/1NxSxsWUAXOWbk2WgKtwxHrU4dsBsbY8Y](https://drive.google.com/file/d/1NxSxsWUAXOWbk2WgKtwxHrU4dsBsbY8Y) # 💡 CS224W-KOR (22.07 ~ 22.09) - Role: Team members - Research Field : Graph Neural Network. - Project Result: [https://cs224w-kor.github.io/blog/](https://cs224w-kor.github.io/blog/) - Description: CS224W, presenting and organizing the parts they studied and translating them into Korean. - # 📔 7th college student coding camp (21.06 ~ 21.07) - Certificate: [https://drive.google.com/file/d/1NzwgCVIDXgRZPjK3mbp-L94mf2fR9vRY](https://drive.google.com/file/d/1NzwgCVIDXgRZPjK3mbp-L94mf2fR9vRY) --- # Competition The list of artificial intelligence competitions I participated in to improve my problem-solving skills is as follows, and I have organized the competitions that ranked in the top 10%. # Top 8.48% 80th / 943 team 대구 교통사고 피해 예측 AI 경진대회 Code sharing link: [https://www.notion.so/ideal96/AI-da372d9ea7064c12914a77f2c5f7cdf0?pvs=4](https://www.notion.so/ideal96/AI-da372d9ea7064c12914a77f2c5f7cdf0?pvs=4) # Top 0.012% 4th / 330 team HD현대 AI Challenge (예선) Code sharing link: [https://github.com/d9249/HDAIChallenge](https://github.com/d9249/HDAIChallenge) Certification: [https://drive.google.com/file/d/1MiB7zEkTGttkYVf_AGi283zLbzx6Xt9d](https://drive.google.com/file/d/1MiB7zEkTGttkYVf_AGi283zLbzx6Xt9d) # Top 8.84% 16th / 181th 데이콘 Basic 풍속 예측 AI 경진대회 Code sharing link: [https://www.notion.so/ideal96/Basic-AI-5ddd573e1e7b41d3a08490003de564d6?pvs=4](https://www.notion.so/ideal96/Basic-AI-5ddd573e1e7b41d3a08490003de564d6?pvs=4) # Top 9.09% 46th / 506 team 월간 데이콘 법원 판결 예측 AI 경진대회 # Top 7.6% 20th / 262th 데이콘 Basic 자동차 가격 예측 AI 경진대회 Code sharing link: [https://www.notion.so/Basic-AI-42ef1dfd967a43e5aa32d1f235592cdc?pvs=4](https://www.notion.so/Basic-AI-42ef1dfd967a43e5aa32d1f235592cdc?pvs=4) # Top 8.98% 61th / 679 team 제2회 코스포 x 데이콘 도서 추천 알고리즘 AI경진대회 Code sharing link: [https://ideal96.notion.site/2-x-AI-5c47b7c395c0442dab0033bb99b24910](https://ideal96.notion.site/2-x-AI-5c47b7c395c0442dab0033bb99b24910) # Top 3.6% 37th 1025 team 도배 하자 유형 분류 AI 경진대회 Code sharing link: [https://ideal96.notion.site/AI-385d705abef34e8492189d08748ff7a7](https://ideal96.notion.site/AI-385d705abef34e8492189d08748ff7a7) # Top 8.31% 30th / 361th 데이콘 Basic 칼로리 소모량 예측 AI 경진대회 Code sharing link: [https://ideal96.notion.site/Basic-AI-97b38475c5e849ca9d2c19a58937081d](https://ideal96.notion.site/Basic-AI-97b38475c5e849ca9d2c19a58937081d) # Top 3.2% 16th / 499 team 월간 데이콘 항공편 지연 예측 AI 경진대회 Code sharing link: [https://ideal96.notion.site/AI-36f748b1ec6947c69aca8702f999a665](https://ideal96.notion.site/AI-36f748b1ec6947c69aca8702f999a665) # Top 3.6% 20th / 555th 월간 데이콘 ChatGPT 활용 AI 경진대회 Code sharing link: [https://ideal96.notion.site/ChatGPT-AI-9a00d68d4e7a4927b319968858353746](https://ideal96.notion.site/ChatGPT-AI-9a00d68d4e7a4927b319968858353746) # Top 0.64% 5th / 771th 데이콘 Basic 전화 해지 여부 분류 AI 경진대회 Code sharing link: [https://ideal96.notion.site/Basic-AI-679bdca7dfa641acac6051ab6038300b](https://ideal96.notion.site/Basic-AI-679bdca7dfa641acac6051ab6038300b) # Top 5.85% 27th / 461 team 포디블록 구조 추출 AI 경진대회 Code sharing link: [https://ideal96.notion.site/AI-82b7ca267e1f464592e31b8e16bdb33e](https://ideal96.notion.site/AI-82b7ca267e1f464592e31b8e16bdb33e) # Top 0.71% 3th / 420th 데이콘 Basic 서울 랜드마크 이미지 분류 경진대회 Code sharing link: [https://ideal96.notion.site/Basic-f6ac4544cdd74fd1bd3ceaf38af71b8c](https://ideal96.notion.site/Basic-f6ac4544cdd74fd1bd3ceaf38af71b8c) # Top 1.91% 8th / 418th 데이콘 Basic 수화 이미지 분류 경진대회 Code sharing link: [https://ideal96.notion.site/Basic-874f432360834e72b2c341b08a3a9661](https://ideal96.notion.site/Basic-874f432360834e72b2c341b08a3a9661) # Top 5.82% 28th/481 team 월간 데이콘 컴퓨터비전 이상치탐지 알고리즘 경진대회 Code sharing link: [https://ideal96.notion.site/6841a1194e4540618bb6f93c18313e96](https://ideal96.notion.site/6841a1194e4540618bb6f93c18313e96) # Top 1.72% 5th/290 team 2021 Ego-Vision 손동작 인식 AI 경진대회 Code sharing link: [https://ideal96.notion.site/2021-Ego-Vision-AI-a17b25ea9cb74ef9b146676f92bd7be1](https://ideal96.notion.site/2021-Ego-Vision-AI-a17b25ea9cb74ef9b146676f92bd7be1) # Acknowledgments. Thank you for viewing my resume. ## Pages - [Resume](https://slashpage.com/ideal)