| 2024 | ACCV | Capture Concept Through Comparison: Vision-and-Language Representation Learning with Intrinsic Information Mining. | Yun-Zhu Song, Yi-Syuan Chen, Tzu-Ling Lin, Bei Liu, Jianlong Fu, Hong-Han Shuai |
| 2023 | EMNLP | Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media. | Yi-Ting Chang, Yun-Zhu Song, Yi-Syuan Chen, Hong-Han Shuai |
| 2023 | ICCV | SINC: Self-Supervised In-Context Learning for Vision-Language Tasks. | Yi-Syuan Chen, Yun-Zhu Song, Cheng Yu Yeo, Bei Liu, Jianlong Fu, Hong-Han Shuai |
| 2023 | KDD | Shilling Black-box Review-based Recommender Systems through Fake Review Generation. | Hung-Yun Chiang, Yi-Syuan Chen, Yun-Zhu Song, Hong-Han Shuai, Jason S. Chang |
| 2022 | NAACL | Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness. | Yun-Zhu Song, Yi-Syuan Chen, Hong-Han Shuai |
| 2021 | ACL | Adversary-Aware Rumor Detection. | Yun-Zhu Song, Yi-Syuan Chen, Yi-Ting Chang, Shao-Yu Weng, Hong-Han Shuai |
| 2020 | AAAI | Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. | Yun-Zhu Song, Hong-Han Shuai, Sung-Lin Yeh, Yi-Lun Wu, Lun-Wei Ku, Wen-Chih Peng |
| 2020 | ECCV | Character-Preserving Coherent Story Visualization. | Yun-Zhu Song, Zhi Rui Tam, Hung-Jen Chen, Huiao-Han Lu, Hong-Han Shuai |