Yun-Wei Chu

27 papers A* 3A 1B 1Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics.
IEEE Trans. Emerg. Top. Comput.
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2025 J jnl
Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation.
CoRR
Yun-Wei Chu, Kai Zhang, Christopher Malon, Martin Renqiang Min
2025 A* conf
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks.
AAAI
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2025 A* conf
Unlocking the Potential of Model Calibration in Federated Learning.
ICLR
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
2024 — conf
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation.
WWW (Companion Volume)
Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
2024 J jnl
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation.
CoRR
Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
2024 J jnl
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training.
CoRR
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2024 J jnl
Unlocking the Potential of Model Calibration in Federated Learning.
CoRR
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
2023 B conf
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks.
MobiHoc
Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton
2023 J jnl
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks.
CoRR
Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang
2022 — conf
Learning to Rank Visual Stories From Human Ranking Data.
ACL (1)
Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao (Kenneth) Huang, Lun-Wei Ku
2022 J jnl
Let's Talk! Striking Up Conversations via Conversational Visual Question Generation.
CoRR
Shih-Han Chan, Tsai-Lun Yang, Yun-Wei Chu, Chi-Yang Hsu, Ting-Hao (Kenneth) Huang, Yu-Shian Chiu, Lun-Wei Ku
2022 A conf
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning.
CIKM
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2022 J jnl
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning.
CoRR
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2022 J jnl
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics.
CoRR
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2021 — conf
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach.
IEEE BigData
Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2021 J jnl
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach.
CoRR
Yun-Wei Chu, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2021 J jnl
End-to-End Recurrent Cross-Modality Attention for Video Dialogue.
IEEE ACM Trans. Audio Speech Lang. Process.
Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku
2021 — conf
Plot and Rework: Modeling Storylines for Visual Storytelling.
ACL/IJCNLP (Findings)
Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao (Kenneth) Huang, Lun-Wei Ku
2021 J jnl
Plot and Rework: Modeling Storylines for Visual Storytelling.
CoRR
Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao Kenneth Huang, Lun-Wei Ku
2021 — conf
Stretch-VST: Getting Flexible With Visual Stories.
ACL (demo)
Chi-Yang Hsu, Yun-Wei Chu, Tsai-Lun Yang, Ting-Hao (Kenneth) Huang, Lun-Wei Ku
2020 A* conf
MVIN: Learning Multiview Items for Recommendation.
SIGIR
Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku
2020 J jnl
MVIN: Learning Multiview Items for Recommendation.
CoRR
Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku
2020 J jnl
Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System.
CoRR
Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku
2019 J jnl
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model.
CoRR
Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu
2019 J jnl
Neural Network Based Luminance Variation Resistant Remote-Photoplethysmography for Driver's Heart Rate Monitoring.
IEEE Access
Bing-Fei Wu, Yun-Wei Chu, Po-Wei Huang, Meng-Liang Chung
2016 — conf
A Motion Robust Remote-PPG Approach to Driver's Health State Monitoring.
ACCV Workshops (1)
Bing-Fei Wu, Yun-Wei Chu, Po-Wei Huang, Meng-Liang Chung, Tzu-Min Lin