Online learning in neural decoding using incremental linear discriminant analysis. - Yaesop Lee; Sreenuj Chellath Madayambath; Yanzhou Liu 001; Da-Ting Lin; Rong Chen 005; Shuvra S. Bhattacharyya (CBS, 2017)

Real-Time Calcium Imaging Based Neural Decoding with a Support Vector Machine. - Kyunghun Lee; Yaesop Lee; Da-Ting Lin; Shuvra S. Bhattacharyya; Rong Chen 005 (BioCAS, 2019)

Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging. - Yaesop Lee; Jing Xie; Eung-Joo Lee; Srijesh Sudarsanan; Da-Ting Lin; Rong Chen 005; Shuvra S. Bhattacharyya (Frontiers Comput. Neurosci., 2020)

Passive-Active Flowgraphs for Efficient Modeling and Design of Signal Processing Systems. - Yaesop Lee; Yanzhou Liu 001; Karol Desnos; Lee Barford; Shuvra S. Bhattacharyya (J. Signal Process. Syst., 2020)

Neural decoding on imbalanced calcium imaging data with a network of support vector machines. - Kyunghun Lee; Xiaomin Wu; Yaesop Lee; Da-Ting Lin; Shuvra S. Bhattacharyya; Rong Chen 005 (Adv. Robotics, 2021)

Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. - Yaesop Lee; Hyungtae Lee; Eung-Joo Lee; Heesung Kwon; Shuvra S. Bhattacharyya (AIPR, 2022)

Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata. - Yi-Ting Shen; Yaesop Lee; Heesung Kwon; Damon M. Conover; Shuvra S. Bhattacharyya; Nikolas Vale; Joshua D. Gray; G. Jeremy Leong; Kenneth Evensen; Frank Skirlo (IEEE Access, 2023)

Design Techniques for Embedded Computer Vision and Signal Processing. - Yaesop Lee (2023)

Comparative Study of Memory Optimization Techniques for Dataflow-Modeled Applications. - Naouel Haggui; Maxime Pelcat; Yaesop Lee; Shuvra S. Bhattacharyya; Kevin J. M. Martin; Jean-François Nezan (DASIP, 2025)