Publications

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

Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton. AAAI 2025.

Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
Yun-Wei Chu, Dong-Jun Han, Christopher Brinton. The Web Conference 2024 - FL@LM.

Multi-layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew Lan, Christopher Brinton. IEEE IEEE Transactions on Emerging Topics in Computing, 2024.

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew Lan, Christopher Brinton. ACM CIKM 2022.

Learning to Rank Visual Stories from Human Ranking Data
Yun-Wei Chu*, Chi-Yang Hsu*, Vincent Chen*, Kuan-Chieh Lo, Chacha Chen, Ting-Hao Huang, Lun-Wei Ku. ACL-IJCNLP 2022.

Plot and Rework: Modeling Storylines for Visual Storytelling
Yun-Wei Chu*, Chi-Yang Hsu*, Ting-Hao Huang, Lun-Wei Ku. ACL-IJCNLP Findings 2021. [PDF]

Stretch-VST: Getting Flexible With Visual Stories
Yun-Wei Chu*, Chi-Yang Hsu*, Tsai-Lun Yang, Ting-Hao Huang, Lun-Wei Ku. ACL-IJCNLP Demo 2021. [PDF]

Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach
Yun-Wei Chu, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew Lan, Christopher 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 Transactions on Audio, Speech and Language Processing 2021. [PDF]

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 Huang, Yu-Shian Chiu, Lun-Wei Ku. AAAI DEEP-DIAL 2021. [PDF]

Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System
Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku. AAAI DSTC 2020. [PDF]

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

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, Lun-Wei Ku. arXiv preprint. [PDF]

Neural Network Based Luminance Variation Resistant Remote-PPG for Driver’s Heart Rate Monitoring
Bing-Fei Wu, Yun-Wei Chu, Po-Wei Huang, Meng-Liang Chung. IEEE Access. [PDF]

A Motion Robust Remote-PPG Approach to Driver’s Health State Monitoring.
Bing-Fei Wu, Yun-Wei Chu, Po-Wei Huang, Meng-Liang Chung. ACCV CVTSV 2016. [PDF]