학력
-2021.02 KAIST, Electrical Engineering (Ph.D.)
-2016.02 KAIST, Electrical Engineering (B.S.)
주요 경력
- 2023.04 ~ Present Seoul National Univ. of Science and Technology (Assistant Professor)
- 2021.04 ~ 2023.04 Machine Learning TU, Samsung Advanced Institute of Technology
주요논문 및 저서
- D. J. Ji, and D.H. Cho, “ChannelAttention: Utilizing Attention Layers For Accurate Massive MIMO Channel Feedback,” IEEE Wireless Commun. Lett., vol. 10, no. 5, pp. 1079–1082, Feb. 2021.
- D. J. Ji, and D.H. Cho, “ConvAE-Advanced: Adaptive Transmission Across Multiple Timeslots for Error Resilient Operation,” IEEE Commun. Lett., vol. 24, no. 9, pp. 1976–1980, Sep. 2020.
- D. J. Ji, J. Park, and D.H. Cho, “ConvAE: A New Channel Autoencoder Based on Convolutional Layers and Residual Connections,” IEEE Commun. Lett., vol. 23, no. 10, pp. 1769–1772, Oct. 2019.
저널 논문
- Y. J. Song, D. J. Ji, H. Seo, G. B. Han and D.H. Cho, ”Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning,”, IEEE Open Journal of Engineering in Medicine and Biology, vol. 2, pp. 36-43, 2021.
- S. Noh, D. J. Ji, and D.H. Cho, “A self-attention-based I/Q imbalance estimator for beyond 5G Communication Systems,” IEEE Communications Letters, vol. 25, no. 10, pp. 3262–3266, July 2021.
- J. Park, D. J. Ji and D.H. Cho, ”High-Order Modulation Based on Deep Neural Network for Physical-Layer Network Coding,”, IEEE Wireless Commun. Lett., vol. 10, no. 6, pp. 1173-1177, June 2021.
- D. J. Ji, and D.H. Cho, “ChannelAttention: Utilizing Attention Layers For Accurate Massive MIMO Channel Feedback,” IEEE Wireless Commun. Lett., vol. 10, no. 5, pp. 1079–1082, Feb. 2021.
- D. J. Ji, and D.H. Cho, “ConvAE-Advanced: Adaptive Transmission Across Multiple Timeslots for Error Resilient Operation,” IEEE Commun. Lett., vol. 24, no. 9, pp. 1976–1980, Sep. 2020.
- D. J. Ji, J. Park, and D.H. Cho, “ConvAE: A New Channel Autoencoder Based on Convolutional Layers and Residual Connections,” IEEE Commun. Lett., vol. 23, no. 10, pp. 1769–1772, Oct. 2019.
- H. Lee, D. J. Ji, and D.H. Cho, “Optimal Design of Wireless Charging Electric Bus System Based on Reinforcement Learning,” Energies, vol. 12, no. 7, p. 1229, Jan. 2019.
◾ Concrete Feedback Layers: Variable-Length, Bit-Level CSI Feedback Optimization for FDD Wireless Communication Systems, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024지동진
◾ Transformer-Based Efficient CSI Feedback for THz Band FDD MIMO Systems, IEEE WIRELESS COMMUNICATIONS LETTERS, vol.13 No.2 pp.343~346, 2023지동진
◾ A Self-Attention-Based I/Q Imbalance Estimator for Beyond 5G Communication Systems, IEEE COMMUNICATIONS LETTERS, vol.25 No.10 pp.3262~3266, 2021지동진
◾ High-Order Modulation Based on Deep Neural Network for Physical-Layer Network Coding, IEEE WIRELESS COMMUNICATIONS LETTERS, vol.10 No.6 pp.1173~1177, 2021지동진
◾ ChannelAttention: Utilizing Attention Layers for Accurate Massive MIMO Channel Feedback, IEEE WIRELESS COMMUNICATIONS LETTERS, vol.10 No.5 pp.1079~1082, 2021지동진
◾ ConvAE-Advanced: Adaptive Transmission Across Multiple Timeslots for Error Resilient Operation, IEEE COMMUNICATIONS LETTERS, vol.24 No.9 pp.1976~1980, 2020지동진
◾ ConvAE: A New Channel Autoencoder Based on Convolutional Layers and Residual Connections, IEEE COMMUNICATIONS LETTERS, vol.23 No.10 pp.1769~1772, 2019지동진
◾ Optimal Design of Wireless Charging Electric Bus System Based on Reinforcement Learning, ENERGIES, vol.12 No.7, 2019지동진
학술대회
- D. J. Ji, Y. Song and D.H. Cho, “Deep learning based breast cancer diagnosis based on protein expression array data”, in IEEE EMBC 2018, 2018.
- 초광역 무선 백홀망에서의 OPNET 시뮬레이션 기반 핸드오버 최적화
특허
- D.H. Cho, and D. J. Ji, “Machine learning based nested spatial multimode generation and detection method and apparatus,” Korean Patent 10-2415990, June 28, 2022.
- D.H. Cho, H.I. Seo, Y.J. Song, G.B. Han, and D. J. Ji, “A method for predicting disease risk based on the analysis of complex genetic information in blood,” Korean Patent 10-2265529, June 10, 2021.
- D.H. Cho, D. J. Ji, and H.J. Lee, “Resource allocation method for wireless backhaul network and apparatus based on machine learning,” US Patent US10805931B2, Oct. 13, 2020.
- D.H. Cho, D. J. Ji, and H.J. Lee, “Resource allocation method for wireless backhaul network and apparatus based on machine learning,” Korean Patent 10-2030128, Oct. 1, 2019.
- D.H. Cho, H.J. Lee, B.R. Cheong, and D. J. Ji, “Random access method based on clustering in Cloud-RAN and digital unit in Cloud-RAN,” Korean Patent 10-19053070000, Sept. 5, 2018.
- D.H. Cho, H.J. Lee, D. J. Ji, and B.R. Cheong, “AP apparatus clustering method using neural network based on reinforcement learning and cooperative communication apparatus using neural network based on reinforcement learning,” Korean Patent 10-18772430000, July 5, 2018.
연구프로젝트
- Samsung Advanced Institute of Technology Apr. 2021 - Apr. 2023
AI-based semiconductor manufacturing process optimization techniques
- Ministry of Science and ICT Mar. 2019 - Feb. 2021
Spatial multimode-based wireless communication systems for 6G communication systems
- Ministry of Science and ICT Mar. 2018 - Feb. 2019
Genetic information-based biomarker diagnosis kits for precision disease diagnosis & risk prediction.
- Ministry of Science, ICT and Future Planning Mar. 2016 - Feb. 2018
Access control mechanisms for movable base stations and wide-range wireless backhaul systems.
- Korea Advanced Institute of Science and Technology Jun. 2014 - Dec. 2014
MLO/CC views synthesis algorithms for digital breast tomography scan images.
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