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2020 – today
- 2024
[c9]Yun-Wei Chu
, Dong-Jun Han, Christopher G. Brinton:
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. WWW (Companion Volume) 2024: 1548-1557- [i12]Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton:
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. CoRR abs/2401.07456 (2024) - [i11]Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton:
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. CoRR abs/2402.02225 (2024) - [i10]Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton:
Unlocking the Potential of Model Calibration in Federated Learning. CoRR abs/2409.04901 (2024) - 2023
- [c8]Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton:
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. MobiHoc 2023: 31-40 - [i9]Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang:
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR abs/2303.08988 (2023) - 2022
- [c7]Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao (Kenneth) Huang, Lun-Wei Ku:
Learning to Rank Visual Stories From Human Ranking Data. ACL (1) 2022: 6365-6378 - [c6]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CIKM 2022: 3033-3042 - [i8]Shih-Han Chan, Tsai-Lun Yang, Yun-Wei Chu, Chi-Yang Hsu, Ting-Hao (Kenneth) Huang, Yu-Shian Chiu, Lun-Wei Ku:
Let's Talk! Striking Up Conversations via Conversational Visual Question Generation. CoRR abs/2205.09327 (2022) - [i7]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CoRR abs/2208.01182 (2022) - [i6]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. CoRR abs/2212.02985 (2022) - 2021
- [j2]Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku:
End-to-End Recurrent Cross-Modality Attention for Video Dialogue. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2456-2464 (2021) - [c5]Chi-Yang Hsu, Yun-Wei Chu, Tsai-Lun Yang, Ting-Hao (Kenneth) Huang, Lun-Wei Ku:
Stretch-VST: Getting Flexible With Visual Stories. ACL (demo) 2021: 356-362 - [c4]Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao (Kenneth) Huang, Lun-Wei Ku:
Plot and Rework: Modeling Storylines for Visual Storytelling. ACL/IJCNLP (Findings) 2021: 4443-4453 - [c3]Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. IEEE BigData 2021: 1389-1398 - [i5]Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Plot and Rework: Modeling Storylines for Visual Storytelling. CoRR abs/2105.06950 (2021) - [i4]Yun-Wei Chu, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. CoRR abs/2111.00901 (2021) - 2020
- [c2]Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku:
MVIN: Learning Multiview Items for Recommendation. SIGIR 2020: 99-108 - [i3]Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku:
Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System. CoRR abs/2001.06206 (2020) - [i2]Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku:
MVIN: Learning Multiview Items for Recommendation. CoRR abs/2005.12516 (2020)
2010 – 2019
- 2019
- [j1]Bing-Fei Wu, Yun-Wei Chu, Po-Wei Huang, Meng-Liang Chung:
Neural Network Based Luminance Variation Resistant Remote-Photoplethysmography for Driver's Heart Rate Monitoring. IEEE Access 7: 57210-57225 (2019) - [i1]Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu:
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model. CoRR abs/1908.05611 (2019) - 2016
- [c1]Bing-Fei Wu, Yun-Wei Chu, Po-Wei Huang, Meng-Liang Chung, Tzu-Min Lin:
A Motion Robust Remote-PPG Approach to Driver's Health State Monitoring. ACCV Workshops (1) 2016: 463-476
Coauthor Index
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