| 2025 | ICDM | Equilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding. | Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen |
| 2024 | AAAI | FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. | Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen, Eliana Pastor, Ming-Syan Chen |
| 2024 | ECAI | BiLEE: Bi-Level Early Exiting for Generative Document Retrieval. | Rui Fang, Chin-Yuan Yeh, Hsi-Wen Chen, Ming-Syan Chen |
| 2024 | ICASSP | Does Audio Deepfake Detection Rely on Artifacts? | Tsu-Hsien Shih, Chin-Yuan Yeh, Ming-Syan Chen |
| 2023 | ICDE | Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting. | Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen |
| 2021 | ICCV | Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack. | Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen |
| 2020 | WACV | Disrupting Image-Translation-Based DeepFake Algorithms with Adversarial Attacks. | Chin-Yuan Yeh, Hsi-Wen Chen, Shang-Lun Tsai, Shang-De Wang |