Meta-Transfer Learning for Low-Resource Abstractive Summarization. - Yi-Syuan Chen; Hong-Han Shuai (AAAI, 2021)

Adversary-Aware Rumor Detection. - Yun-Zhu Song; Yi-Syuan Chen; Yi-Ting Chang; Shao-Yu Weng; Hong-Han Shuai (ACL/IJCNLP (Findings), 2021)

Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness. - Yun-Zhu Song; Yi-Syuan Chen; Hong-Han Shuai (NAACL-HLT, 2022)

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 (EMNLP, 2023)

SINC: Self-Supervised In-Context Learning for Vision-Language Tasks. - Yi-Syuan Chen; Yun-Zhu Song; Cheng Yu Yeo; Bei Liu 001; Jianlong Fu; Hong-Han Shuai (ICCV, 2023)

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 (KDD, 2023)

Decoupling-Cooperative Framework for Referring Expression Comprehension. - Yun-Zhu Song; Yi-Syuan Chen; Hong-Han Shuai (IEEE Signal Process. Lett., 2023)

General then Personal: Decoupling and Pre-training for Personalized Headline Generation. - Yun-Zhu Song; Yi-Syuan Chen; Lu Wang 008; Hong-Han Shuai (Trans. Assoc. Comput. Linguistics, 2023)

SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization. - Yi-Syuan Chen; Yun-Zhu Song; Hong-Han Shuai (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Capture Concept Through Comparison: Vision-and-Language Representation Learning with Intrinsic Information Mining. - Yun-Zhu Song; Yi-Syuan Chen; Tzu-Ling Lin; Bei Liu 001; Jianlong Fu; Hong-Han Shuai (ACCV (3), 2024)

23.5 MAE: A 3nm 0.168mm2 576MAC Mini AutoEncoder with Line-Based Depth-First Scheduling for Generative AI in Vision on Edge Devices. - Shih-Wei Hsieh; Chia-Hung Yuan; Ming-Hung Lin; Ping-Yuan Tsai; You-Yu Nian; Chia-Yuan Cheng; Hung-Wei Chih; Po-Han Chiang; Ming-Hsuan Chiang; Yuan-Jung Kuo; Yu-Wei Wu; Yi-Syuan Chen; et al. (ISSCC, 2025)