Convex Opt.
EE364a (Stanford university): This course should benefit anyone who uses or will use scientific computing or optimization in engineering or related work (e.g., machine learning, finance).
Wireless Commun.
Channel Model
Sionna (NVIDIA): An Open-Source Library for 6G Research
DeepMIMO (ASU): A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Systems
Quadriga (Fraunhofer HHI): The channel model is parametrized for various applications and scenarios, e.g., urban macrocellular (UMa) or urban microcellular (UMi).
Specifications
3GPP: Specifications by Series, 3GPP ftp
NR Explained: explain 5G New Radio based on 3GPP specifications
ShareTechnote: The website ShareTechnote is dedicated to providing in-depth information and resources on a wide spectrum of topics, such as Cellular Networks (e.g., LTE/5G/6G), WiFi, Bluetooth, Engineering Math, Communication Theory, Programming (Python, JavaScript, Matlab, Java, C/C++), Neuroscience, Quantum Computing, and others.
Mathworks (Wireless Communications)
Machine Learning
Lecture
CS231n (Stanford university): This course is a deep dive into the details of deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.
MLSS: Machine learning summer schools (MLSS) present topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art practice.
Conference (AI Conference Deadlines)
OpenReview: OpenReview aims to promote openness in scientific communication, particularly the peer review process, by providing a flexible cloud-based web interface and underlying database API.
ICLR: The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.
ICML: The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning. It is supported by the International Machine Learning Society (IMLS).
Neurips: The Conference and Workshop on Neural Information Processing Systems (abbreviated as NeurIPS and formerly NIPS) is a machine learning and computational neuroscience conference held every December.
Trend & Blog
Papers with code: Papers With Code highlights trending Machine Learning research and the code to implement it.
AI Platform
Time Series Prediction
Period: 2021.06. ~ 2022. 12.
with SKKU
Optimal Transport
Period: 2019.03. ~ 2020. 10.
Crack Detection
Period: 2019.12. ~ 2020. 06.
Supported by KICT
2024. 12. CEIC 우수논문상, paper: 초대규모 MIMO 시스템을 위한 오토인코더 기반 CSI 압축 기법 연구
2023. 06. ITC-CSCC Best Paper Award, paper: Turbulence Resilient Free-Space Optical Communication Using Iterative Blind Equalization
2023. 02. BK21 우수연구상
2023. 02. 삼성휴먼테크논문대상 장려상, paper: Joint Device Selection and Beamforming Vector Design in Over-the-Air Federated Learning
2023. 02. 해동우수논문상 우수상, paper: Learnable Binary MIMO Detection based on Inexact ADMM
2022. 02. 해동우수논문상 최우수상, paper: Secrecy Rate Maximization in Intelligent Reflecting Surface-aided MIMO Systems
2021. 02. BK21 우수논문상
2019. 02. 추계종합학술발표회 우수논문상, paper: LSTM을 이용한 MIMO 검출 네트워크
2019. 02. 해커톤 장려상, subject: 애견 행동 분석 장치
2018. 09. 스타트업 경진대회 대상, subject: 애견 진정제 분사장치 (중소벤처기업부 기술혁신형 창업기업 지원사업)
2017. 12. ITRC 창의자율과제 입상, subject: Massive MU-MIMO 시스템 개선을 위한 압축 센싱 알고리즘 연구
2017. 08. 인하대 메이커톤 최우수상, subject: V2X를 이용한 교통약자를 위한 신호 시스템
2017. 06. 캡스톤 디자인 경진대회 금상, subject: Sintered filter porosity 측정 장비 개발 (with LG하니웰)
2017. 05. IFEZ 솔루션 경진대회 동상, subject: 전자 칠판을 위한 스마트 시스템 구현 (with PKLNS)