DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset. - Jin-Hwi Park; Young-Jae Park; Junoh Lee; Hae-Gon Jeon (AAAI, 2022)

How'd Security Benefit Reverse Engineers? : The Implication of Intel CET on Function Identification. - Hyungseok Kim 002; Junoh Lee; Soomin Kim 002; Seungil Jung; Sang Kil Cha (DSN, 2022)

Reassembly is Hard: A Reflection on Challenges and Strategies. - Hyungseok Kim 002; Soomin Kim 002; Junoh Lee; Kangkook Jee; Sang Kil Cha (USENIX Security Symposium, 2023)

Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction. - Inhwan Bae; Junoh Lee; Hae-Gon Jeon (CVPR, 2024)

Depth Prompting for Sensor-Agnostic Depth Estimation. - Jin-Hwi Park; Chanhwi Jeong; Junoh Lee; Hae-Gon Jeon (CVPR, 2024)

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields. - Junoh Lee; Hyunjun Jung; Jin-Hwi Park; Inhwan Bae; Hae-Gon Jeon (ICLR, 2024)

Fully Explicit Dynamic Gaussian Splatting. - Junoh Lee; Changyeon Won; Hyunjun Jung; Inhwan Bae; Hae-Gon Jeon (NeurIPS, 2024)

What Makes Deviant Places? - Jin-Hwi Park; Youngjae Park; Ilyung Cheong; Junoh Lee; Young Eun Huh; Hae-Gon Jeon (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Continuous Locomotive Crowd Behavior Generation. - Inhwan Bae; Junoh Lee; Hae-Gon Jeon (CVPR, 2025)