| 2025 | CVPR | Open Ad-hoc Categorization with Contextualized Feature Learning. | Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren |
| 2024 | CVPR | Discovering and Mitigating Visual Biases Through Keyword Explanation. | Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin |
| 2024 | ICLR | Learning Hierarchical Image Segmentation For Recognition and By Recognition. | Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu |
| 2024 | ICLR | SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. | Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin |
| 2024 | ICLR | Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. | Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin |
| 2023 | ICLR | RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. | Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell |
| 2022 | ICLR | Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. | Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin |
| 2021 | AAAI | MASKER: Masked Keyword Regularization for Reliable Text Classification. | Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin |
| 2021 | ICLR | Layer-adaptive Sparsity for the Magnitude-based Pruning. | Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin |
| 2020 | ICLR | Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. | Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin |
| 2019 | ICLR | InstaGAN: Instance-aware Image-to-Image Translation. | Sangwoo Mo, Minsu Cho, Jinwoo Shin |
| 2019 | IROS | Deep Neural Network Approach in Electrical Impedance Tomography-based Real-time Soft Tactile Sensor. | Hyunkyu Park, Hyosang Lee, Kyungseo Park, Sangwoo Mo, Jung Kim |