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2020 – today
- 2022
[c6]Yaxu Liu
, Jui-Nan Yen, Bo-Wen Yuan, Rundong Shi, Peng Yan, Chih-Jen Lin:
Practical Counterfactual Policy Learning for Top-K Recommendations. KDD 2022: 1141-1151- 2021
- [j5]Bo-Wen Yuan, Zhong-Liang Zhang, Xing-Gang Luo, Yang Yu, Xiao-Hua Zou, Xiao-Dong Zou:
OIS-RF: A novel overlap and imbalance sensitive random forest. Eng. Appl. Artif. Intell. 104: 104355 (2021) - [j4]Bo-Wen Yuan, Xing-Gang Luo, Zhong-Liang Zhang, Yang Yu, Hong-Wei Huo, Tretter Johannes, Xiao-Dong Zou:
A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets. Neural Comput. Appl. 33(9): 4457-4481 (2021) - [c5]Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin:
Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings. KDD 2021: 2093-2103 - 2020
- [c4]Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin:
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. MDM 2020: 202-209 - [c3]Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin:
Unbiased Ad Click Prediction for Position-aware Advertising Systems. RecSys 2020: 368-377 - [c2]Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong:
Influence Function for Unbiased Recommendation. SIGIR 2020: 1929-1932 - [i1]Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin:
An Efficient Newton Method for Extreme Similarity Learning with Nonlinear Embeddings. CoRR abs/2010.13511 (2020)
2010 – 2019
- 2019
- [c1]Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin:
Improving Ad Click Prediction by Considering Non-displayed Events. CIKM 2019: 329-338 - 2018
- [j3]Zhongliang Zhang, Xinggang Luo, Yang Yu, Bo-Wen Yuan, Jiafu Tang:
Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme. Eng. Appl. Artif. Intell. 74: 43-53 (2018) - [j2]Wei-Sheng Chin, Bo-Wen Yuan, Mengyuan Yang, Chih-Jen Lin:
An Efficient Alternating Newton Method for Learning Factorization Machines. ACM Trans. Intell. Syst. Technol. 9(6): 72:1-72:31 (2018) - 2016
- [j1]Wei-Sheng Chin, Bo-Wen Yuan, Mengyuan Yang, Yong Zhuang, Yu-Chin Juan, Chih-Jen Lin:
LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems. J. Mach. Learn. Res. 17: 86:1-86:5 (2016)
Coauthor Index
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