LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems. - Wei-Sheng Chin; Bo-Wen Yuan; Mengyuan Yang; Yong Zhuang; Yu-Chin Juan; Chih-Jen Lin (J. Mach. Learn. Res., 2016)

Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme. - Zhong-Liang Zhang 001; Xinggang Luo; Yang Yu 016; Bo-Wen Yuan; Jiafu Tang (Eng. Appl. Artif. Intell., 2018)

An Efficient Alternating Newton Method for Learning Factorization Machines. - Wei-Sheng Chin; Bo-Wen Yuan; Mengyuan Yang; Chih-Jen Lin (ACM Trans. Intell. Syst. Technol., 2018)

Improving Ad Click Prediction by Considering Non-displayed Events. - Bo-Wen Yuan; Jui-Yang Hsia; Mengyuan Yang; Hong Zhu 003; Chih-Yao Chang; Zhenhua Dong; Chih-Jen Lin (CIKM, 2019)

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. - Chih-Yao Chang; Xing Tang 007; Bo-Wen Yuan; Jui-Yang Hsia; Zhirong Liu; Zhenhua Dong; Xiuqiang He 001; Chih-Jen Lin (MDM, 2020)

Unbiased Ad Click Prediction for Position-aware Advertising Systems. - Bo-Wen Yuan; Yaxu Liu; Jui-Yang Hsia; Zhenhua Dong; Chih-Jen Lin (RecSys, 2020)

Influence Function for Unbiased Recommendation. - Jiangxing Yu; Hong Zhu 003; Chih-Yao Chang; Xinhua Feng; Bo-Wen Yuan; Xiuqiang He 001; Zhenhua Dong (SIGIR, 2020)

An Efficient Newton Method for Extreme Similarity Learning with Nonlinear Embeddings. - Bo-Wen Yuan; Yu-Sheng Li 001; Pengrui Quan; Chih-Jen Lin (CoRR, 2020)

Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings. - Bo-Wen Yuan; Yu-Sheng Li 001; Pengrui Quan; Chih-Jen Lin (KDD, 2021)

OIS-RF: A novel overlap and imbalance sensitive random forest. - Bo-Wen Yuan; Zhong-Liang Zhang 001; Xing-Gang Luo; Yang Yu 016; Xiao-Hua Zou; Xiao-Dong Zou (Eng. Appl. Artif. Intell., 2021)

A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets. - Bo-Wen Yuan; Xing-Gang Luo; Zhong-Liang Zhang 001; Yang Yu 016; Hong-Wei Huo; Tretter Johannes; Xiao-Dong Zou (Neural Comput. Appl., 2021)

Practical Counterfactual Policy Learning for Top-K Recommendations. - Yaxu Liu; Jui-Nan Yen; Bo-Wen Yuan; Rundong Shi; Peng Yan; Chih-Jen Lin (KDD, 2022)