Taeheon Lim, Joohyung Lee, Kyungjae Lee†, and Jungchan Cho†, "Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection,"

Under Review

Joohyung Lee, Jungchan Cho†, Wonjun Lee, Mohamed Seif, and H Vincent Poor, "Game-Theoretic Joint Incentive and Cut Layer Selection Mechanism in Split Federated Learning,"

Under Review

Juhan Park, Kyungjae Lee†, Hyung Jin Chang, and Jungchan Cho†, "Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration,"

Under Review

Go-Eun Lee, Sang Tae Choi, Seon Ho Kim, Jaewoo Chung, Jungchan Cho†, and Sang-Il Choi†, "Text-guided cross-position attention for image analysis: Case of medical image,"

Computers in Biology and Medicine (CBM), vol. 193, no. 1, pp. 110297, Jul. 2025. [SCI/E, Q1, IF: 7-Top 2.3%]

Joohyung Lee*, Jungchan Cho*†, and H. Vincent Poor, "A Lyapunov Optimization Enabled Energy-Efficient Dynamic Cut Layer Control Mechanism,"

IEEE Wireless Communications Letters, vol. 14, no. 6, pp. 1782-1785, Jun. 2025. [SCI/E, Q1]

* indicates co-first authors.

Yoonjung Heo, Go-Eun Lee, Jungchan Cho†, and Sang-Il Choi†, "Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward,"

Diagnostics, May 2025. [SCI/E, Q1]

Joohyung Lee, Mohamed Seif, Jungchan Cho†, and H. Vincent Poor, "Optimizing Privacy and Latency Tradeoffs in Split Federated Learning over Wireless Networks,"  

IEEE Wireless Communications Letters, vol. 38, no. 6, pp. 388-395, Dec. 2024. [SCI/E, Q1]

Joohyung Lee, Mohamed Seif, Jungchan Cho†, and H. Vincent Poor, "Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning," 

IEEE Network , vol. 38, no. 6, pp. 388-395, Nov. 2024. [SCI, Q1, IF: 9.3-Top 4.7%] 

Yejun Lee, Jinah Kim, Jungchan Cho†, and Jhonghyun An†, "Improving Visual Pedestrian Attributes Discernment with Textual Reconstruction,"  

IEEE  Access, vol. 12, no. 1, pp. 16417 - 164189, Nov. 2024. [SCI/E, Q2]

Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, and Jin Young Choi, "Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding," 

in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024. [Top-tier Conference]

Go-Eun Lee, Seon Ho Kim, Jungchan Cho, Sangtae Choi†, and Sang-il Choi†, "Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image,"

in Proc. of  the Medical Image Computing and Computer Assisted Intervention Society (MICCAI), Oct. 2023. [Top-tier Conference]

Go-Eun Lee, Jungchan Cho†, and Sang-il Choi†, "Shallow and Reverse Attention Network for Colon Polyp Segmentation,"

Scientific Reports, vol. 13, no. 1, pp. 15243, Sep. 2023.

Geonu Lee, Kimin Yun, Jungchan Cho†, "Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity,"

Sensors, vol 22, no. 17, pp. 6626, Sep. 2022.

Geonu Lee and Jungchan Cho†, "STDP-Net: Improved Pedestrian Attribute Recognition Using Swin Transformer and Semantic Self-Attention,"

IEEE ACCESS, vol. 10, no.1, pp. 82656 - 82667, Aug. 2022.

Jinah Kim and Jungchan Cho†, "Background-Aware Robust Context Learning for Weakly-Supervised Temporal Action Localization,"

IEEE ACCESS, vol. 10, no. 1, pp. 65315 - 65325, Jun. 2022.

Seunggyu Chang, Jungchan Cho, and Songhwai Oh, "Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucination," 

in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022. [Top-tier Conference]

Video

Jungchan Cho†, "Synthetic Source Universal Domain Adaptation through Contrastive Learning," 

Sensors, vol. 21, no. 22, pp. 7539, Nov. 2021. 

Kangmin Bae, Kimin Yun, Jungchan Cho, and Yuseok Base, "The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures," 

in Proc. of the IEEE Int'l Conf on Advanced Video and Signal-based Surveillance (AVSS), Nov. 2021. 

Geonu Lee, Kimin Yun, and Jungchan Cho†, "Improved Human-Object Interaction Detection through On-the-Fly Stacked Generalization," 

IEEE ACCESS, vol. 9,  no. 1, pp. 34251-34263, Feb. 2021.

[SCIE, IF: 3.745-Top 22.115%] 

Sora Kim,  Youngjae Jo, Jungchan Cho, Jiwoo Song, Younyoung Lee, and Minsik Lee†, "Spatially Variant Convolutional Autoencoder Based on Patch Division for Pill Defect Detection,"  

IEEE ACCESS , vol. 8, no. 1, pp. 216781 - 216792, Dec. 2020.

[SCIE, IF: 4.098-Top 14.52%] 

Jungchan Cho and Hyoseok Hwang†, "Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition using a Three-Dimensional Convolutional Neural Network,"  

Sensors, vol. 20, no. 12, pp. 3491, Jun. 2020. 

[SCIE, IF: 3.301-Top 23.77%]

Bhishan Bhandari, Geonu Lee, and Jungchan Cho†, "Body-Part-Aware and Multitask-Aware Single-Image-Based Action Recognition," 

Applied Sciences,  vol. 10, no. 4, pp. 1531-1548, Feb. 2020. 

[SCIE, IF: 2.474] 

Kimin Yun, Jongyoul Park, and Jungchan Cho†, "Robust Human Pose Estimation for Rotation via Self-Supervised Learning," 

IEEE ACCESS, vol. 8, no. 1, pp. 32502 - 32517,  Feb. 2020. 

[SCIE, IF: 4.098-Top 14.52%] 

Minsik Lee†, Jungchan Cho, and Songhwai Oh, "Procrustean Normal Distribution for Non-Rigid Structure from Motion,"

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 7, pp. 1388-1400, Jul. 2017. 

[SCI, IF: 17.730-Top 0.19%] 

Jiyong Oh, Sang-Il Choi, Chunghoon Kim†, Jungchan Cho, and Chong-Ho Choi, "Selective Generation of Gabor Features for Fast Face Recognition on Mobile Devices," 

Pattern Recognition Letters (PRL), vol. 34, no. 13, pp. 1540-1547, Oct. 2013. 

[SCIE, IF:2.810]