A novel learning approach to multiple tasks based on boosting methodology. - Pipei Huang; Gang Wang; Shiyin Qin (Pattern Recognit. Lett., 2010)

A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning. - Pipei Huang; Shiyin Qin; Donghuan Lu (MIRAGE, 2011)

Learning a projective mapping to locate animals in video using RFID. - Pipei Huang; Rahul Sawhney; Daniel Walker; Kim Wallen; Aaron F. Bobick; Shiyin Qin; Tucker R. Balch (IROS, 2012)

Boosting for transfer learning from multiple data sources. - Pipei Huang; Gang Wang; Shiyin Qin (Pattern Recognit. Lett., 2012)

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. - Jizhe Wang; Pipei Huang; Huan Zhao 002; Zhibo Zhang; Binqiang Zhao; Dik Lun Lee (KDD, 2018)

Multi-Level Deep Cascade Trees for Conversion Rate Prediction. - Hong Wen 002; Jing Zhang 037; Quan Lin; Keping Yang; Taiwei Jin; Fuyu Lv; Xiaofeng Pan; Pipei Huang; Zheng-Jun Zha (CoRR, 2018)

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. - Hong Wen 002; Jing Zhang 037; Quan Lin; Keping Yang; Pipei Huang (AAAI, 2019)

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. - Chao Li; Zhiyuan Liu 001; Mengmeng Wu; Yuchi Xu; Huan Zhao 002; Pipei Huang; Guoliang Kang; Qiwei Chen; Wei Li; Dik Lun Lee (CIKM, 2019)

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. - Wen Chen 026; Pipei Huang; Jiaming Xu; Xin Guo; Cheng Guo; Fei Sun 001; Chao Li; Andreas Pfadler; Huan Zhao; Binqiang Zhao (KDD, 2019)

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba. - Qiwei Chen; Huan Zhao; Wei Li; Pipei Huang; Wenwu Ou (CoRR, 2019)

Billion-scale Recommendation with Heterogeneous Side Information at Taobao. - Andreas Pfadler; Huan Zhao 002; Jizhe Wang; Lifeng Wang; Pipei Huang; Dik Lun Lee (ICDE, 2020)