| 2025 | ICCV | ZIM: Zero-Shot Image Matting for Anything. | Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu |
| 2024 | AAAI | Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. | Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi |
| 2024 | CVPR | ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning. | Beomyoung Kim, Joonsang Yu, Sung Ju Hwang |
| 2024 | WACV | EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. | Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo |
| 2023 | DATE | Pipe-BD: Pipelined Parallel Blockwise Distillation. | Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee |
| 2023 | IJCAI | GeNAS: Neural Architecture Search with Better Generalization. | Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo |
| 2022 | CVPR | It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. | Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee |
| 2022 | DAC | Enabling hard constraints in differentiable neural network and accelerator co-exploration. | Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee |
| 2022 | DAC | NN-LUT: neural approximation of non-linear operations for efficient transformer inference. | Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi |
| 2021 | DAC | DANCE: Differentiable Accelerator/Network Co-Exploration. | Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee |
| 2019 | AAAI | Network Recasting: A Universal Method for Network Architecture Transformation. | Joonsang Yu, Sungbum Kang, Kiyoung Choi |
| 2019 | DAC | Acceleration of DNN Backward Propagation by Selective Computation of Gradients. | Gunhee Lee, Hanmin Park, Namhyung Kim, Joonsang Yu, Sujeong Jo, Kiyoung Choi |
| 2017 | ICCD | Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks. | Joonsang Yu, Kyounghoon Kim, Jongeun Lee, Kiyoung Choi |
| 2016 | DAC | Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks. | Kyounghoon Kim, Jungki Kim, Joonsang Yu, Jungwoo Seo, Jongeun Lee, Kiyoung Choi |