A Motion Robust Remote-PPG Approach to Driver's Health State Monitoring. - Bing-Fei Wu; Yun-Wei Chu; Po-Wei Huang; Meng-Liang Chung; Tzu-Min Lin (ACCV Workshops (1), 2016)

Neural Network Based Luminance Variation Resistant Remote-Photoplethysmography for Driver's Heart Rate Monitoring. - Bing-Fei Wu; Yun-Wei Chu; Po-Wei Huang; Meng-Liang Chung (IEEE Access, 2019)

GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model. - Chang-You Tai; Meng-Ru Wu; Yun-Wei Chu; Shao-Yu Chu (CoRR, 2019)

MVIN: Learning Multiview Items for Recommendation. - Chang-You Tai; Meng-Ru Wu; Yun-Wei Chu; Shao-Yu Chu; Lun-Wei Ku (SIGIR, 2020)

Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System. - Yun-Wei Chu; Kuan-Yen Lin; Chao-Chun Hsu; Lun-Wei Ku (CoRR, 2020)

Plot and Rework: Modeling Storylines for Visual Storytelling. - Chi-Yang Hsu; Yun-Wei Chu; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (ACL/IJCNLP (Findings), 2021)

Stretch-VST: Getting Flexible With Visual Stories. - Chi-Yang Hsu; Yun-Wei Chu; Tsai-Lun Yang; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (ACL (demo), 2021)

Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. - Yun-Wei Chu; Elizabeth Tenorio; Laura M. Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (IEEE BigData, 2021)

End-to-End Recurrent Cross-Modality Attention for Video Dialogue. - Yun-Wei Chu; Kuan-Yen Lin; Chao-Chun Hsu; Lun-Wei Ku (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Learning to Rank Visual Stories From Human Ranking Data. - Chi-Yang Hsu; Yun-Wei Chu; Vincent Chen; Kuan-Chieh Lo; Chacha Chen; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (ACL (1), 2022)

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. - Yun-Wei Chu; Seyyedali Hosseinalipour; Elizabeth Tenorio; Laura M. Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (CIKM, 2022)

Let's Talk! Striking Up Conversations via Conversational Visual Question Generation. - Shih-Han Chan; Tsai-Lun Yang; Yun-Wei Chu; Chi-Yang Hsu; Ting-Hao (Kenneth) Huang; Yu-Shian Chiu; Lun-Wei Ku (CoRR, 2022)

Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. - Rohit Parasnis; Seyyedali Hosseinalipour; Yun-Wei Chu; Mung Chiang; Christopher G. Brinton (MobiHoc, 2023)

Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. - Yun-Wei Chu; Dong-Jun Han; Christopher G. Brinton (WWW (Companion Volume), 2024)

Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. - Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. - Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher G. Brinton (AAAI, 2025)

Unlocking the Potential of Model Calibration in Federated Learning. - Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher Brinton 001 (ICLR, 2025)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. - Yun-Wei Chu; Seyyedali Hosseinalipour; Elizabeth Tenorio; Laura Melissa Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (IEEE Trans. Emerg. Top. Comput., 2025)

Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation. - Yun-Wei Chu; Kai Zhang; Christopher Malon; Martin Renqiang Min (CoRR, 2025)