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Pipei Huang
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2020 – today
- 2020
- [c7]Andreas Pfadler, Huan Zhao, Jizhe Wang, Lifeng Wang, Pipei Huang, Dik Lun Lee:
Billion-scale Recommendation with Heterogeneous Side Information at Taobao. ICDE 2020: 1667-1676
2010 – 2019
- 2019
- [c6]Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. AAAI 2019: 338-345 - [c5]Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Huan Zhao, Pipei Huang, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee:
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. CIKM 2019: 2615-2623 - [c4]Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao:
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. KDD 2019: 2662-2670 - [i5]Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee:
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. CoRR abs/1904.08030 (2019) - [i4]Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao:
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. CoRR abs/1905.01866 (2019) - [i3]Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou:
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba. CoRR abs/1905.06874 (2019) - 2018
- [c3]Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. KDD 2018: 839-848 - [i2]Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. CoRR abs/1803.02349 (2018) - [i1]Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction. CoRR abs/1805.09484 (2018) - 2012
- [j2]Pipei Huang, Gang Wang, Shiyin Qin:
Boosting for transfer learning from multiple data sources. Pattern Recognit. Lett. 33(5): 568-579 (2012) - [c2]Pipei Huang, Rahul Sawhney, Daniel Walker, Kim Wallen, Aaron F. Bobick, Shiyin Qin, Tucker R. Balch:
Learning a projective mapping to locate animals in video using RFID. IROS 2012: 3830-3836 - 2011
- [c1]Pipei Huang, Shiyin Qin, Donghuan Lu:
A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning. MIRAGE 2011: 274-285 - 2010
- [j1]Pipei Huang, Gang Wang, Shiyin Qin:
A novel learning approach to multiple tasks based on boosting methodology. Pattern Recognit. Lett. 31(12): 1693-1700 (2010)
Coauthor Index
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