International Journal Papers
Yaesop Lee, Rong Chen and Shuvra S. Bhattacharyya. 2025. An Online Learning Framework for Neural Decoding in Embedded Neuromodulation Systems. Brain Connectivity
Yang, Jaemin, Jongwoo Lee, Ilju Lee, and Yaesop Lee. 2025. The TEDDY Framework: An Efficient Framework for Target Tracking Using Edge-Based Distributed Smart Cameras with Dynamic Camera Selection, Applied Sciences 15, no. 6: 3052
Yaesop Lee*, Jing Xie*, Eung-Joo Lee, Srijesh Sudarsanan, Da-Ting Lin, Rong Chen, and Shuvra S. Bhattacharyya. Real-time neuron detection and neural signal extraction platform for miniature calcium imaging. Frontiers Computational Neuroscience, volume 14, page 43, 2020.
Yaesop Lee, Yanzhou Liu, Karol Desnos, Lee Barford, and Shuvra S. Bhattacharyya. Passive- active flowgraphs for efficient modeling and design of signal processing systems. Journal of Signal Processing Systems, volume 92, page 1133–1151. Kluwer Academic Publishers, oct 2020.
Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, and Frank Skirlo. Archangel: A hybrid uav-based human detection benchmark with position and pose metadata, 2022.
Kyunghun Lee, Xiaomin Wu, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, and Rong Chen. Neural decoding on imbalanced calcium imaging data with a network of support vector machines. Advanced Robotics, volume 35, pages 459–470. Taylor & Francis, 2021.
Kyunghun Lee, Yaesop Lee, Abhay Raina, Yanzhou Liu, Jiahao Wu, Christopher Defrancisci, Benjamin S Riggan, and Shuvra S Bhattacharyya. Software synthesis from dataflow schedule graphs. SN Applied Sciences, volume 3, pages 1–20. Springer, 2021.
International Conference Papers
Hyeonji Son, Hongseok Kim, and Yaesop Lee, Transformer-based Placement and Harmonized Composition for Synthetic Data Generation in PCB Component Detection, IWAIT 2026, Kaohsiung, Taiwan.
Haggui, Naouel; Pelcat, Maxime; Lee, Yaesop; Bhattacharyya, Shuvra S.; Martin, Kevin; Nezan, Jean-François. Comparative Study of Memory Optimization Techniques for Dataflow-Modeled Applications. The 18th Workshop on Design and Architectures for Signal and Image Processing (DASIP 2025), Barcelona, Spain.
Yaesop* Lee, Hyungtae* Lee, Eung-joo Lee, Heesung Kwon, and Shuvra S. Bhattacharyya. Exploiting simplified depth estimation for stereo-based 2d object detection. In Applied Imagery Pattern Recognition Workshop, 2022.
Yaesop Lee, Eung-Joo Lee, Damon M. Conover, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya, Jason Hill, Kenneth Evensen, and G. Jeremy Leong. Archangel dataset: UAV- based imagery with position and pose metadata. In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, volume 12113, page 121131T. International Society for Optics and Photonics, SPIE, 2022.
Kyunghun Lee, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, and Rong Chen. Real-time calcium imaging based neural decoding with a support vector machine. In 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), pages 1–4, 2019.
Yaesop Lee, Sreenuj Chellath Madayambath, Yanzhou Liu, Da-Ting Lin, Rong Chen, and Shuvra S. Bhattacharyya. Online learning in neural decoding using incremental linear discriminant analysis. In 2017 IEEE International Conference on Cyborg and Bionic Systems (CBS), pages 173–177, 2017.
Domestic Journal Papers
Domestic Conference Papers
Real-Time Estimation of Food Waste Volume Using Deep Learning-Based Vision and Depth Information, 박정호， 김현준， 이예솝. 제어로봇시스템학회 국내학술대회 논문집, 1109-1110
시각장애인의 안전 보행을 위한 AI 기반 보조 안경 시스템 개발, 신예호， 권민주， 이희원， 이예솝, 제어로봇시스템학회 국내학술대회 논문집, 1011-1012
Comparison of Disturbance Observer and SAC-based Reinforcement Learning Control under Vibrational Disturbances, 박정호， 김현준， 남승욱， 박기정， 이예솝, 제어로봇시스템학회 국내학술대회 논문집, 995-996
전인석, 홍윤교, 민준서, 이수민, 이예솝, AI-BASED Worker Assistant Robot: Shaping the Future of SMART FARM, 제어로봇시스템학회 국내학술대회 논문집, 1082-1083
이희우, 김준식, 송중은, 홍유진, 이예솝, Development of a Motorization System for a Manual Wheelchair, 제어로봇시스템학회 국내학술대회 논문집, 1080-1081