| 2025 | AAAI | Multimodal Promptable Token Merging for Diffusion Models. | Cheng-Yao Hong, Tyng-Luh Liu |
| 2024 | CVPR | Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking. | Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |
| 2023 | ICASSP | IoU-Aware Multi-Expert Cascade Network Via Dynamic Ensemble for Long-Tailed Object Detection. | Wan-Cyuan Fan, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |
| 2023 | ICCV | Attention Discriminant Sampling for Point Clouds. | Cheng-Yao Hong, Yu-Ying Chou, Tyng-Luh Liu |
| 2022 | ECCV | Decoupled Contrastive Learning. | Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun |
| 2022 | ICASSP | SAGA: Self-Augmentation with Guided Attention for Representation Learning. | Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |
| 2021 | ICIP | The Maximum a Posterior Estimation of Darts. | Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu |
| 2020 | AAAI | Query-Driven Multi-Instance Learning. | Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu |
| 2020 | ICIP | Video Summarization with Anchors and Multi-Head Attention. | Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |