Pipei Huang

Computer Science · Physical Sciences

10h-index1.6kcitations22works0.02yr avg
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Research Topics

Recommender Systems and Techniques(11), Generative Adversarial Networks and Image Synthesis(6), Advanced Graph Neural Networks(5), Caching and Content Delivery(4), Text and Document Classification Technologies(4)

Publications22 total

Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache
arXiv (Cornell University)·2026Open Access
Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache
arXiv (Cornell University)·2026Open Access
Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
ArXiv.org·2026Open Access
Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
arXiv (Cornell University)·2026Open Access
Billion-scale Recommendation with Heterogeneous Side Information at Taobao
2020· 27 cited
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
2019· 346 cited
Behavior sequence transformer for e-commerce recommendation in Alibaba
2019· 377 cited
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
2019· 196 cited
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
Proceedings of the AAAI Conference on Artificial Intelligence·2019· 37 citedOpen Access
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
arXiv (Cornell University)·2019· 34 citedOpen Access
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
arXiv (Cornell University)·2019Open Access
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
arXiv (Cornell University)·2019· 51 citedOpen Access
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
2018· 494 cited
Multi-Level Deep Cascade Trees for Conversion Rate Prediction.
arXiv (Cornell University)·2018· 3 citedOpen Access
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
arXiv (Cornell University)·2018· 3 citedOpen Access
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
arXiv (Cornell University)·2018· 22 citedOpen Access
Learning a projective mapping to locate animals in video using RFID
2012· 3 cited
Boosting for transfer learning from multiple data sources
Pattern Recognition Letters·2011· 43 cited
A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning
Lecture notes in computer science·2011
A novel learning approach to multiple tasks based on boosting methodology
Pattern Recognition Letters·2010· 5 cited
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Frequent Co-authors

Huan Zhao(7), Shiyin Qin(6), Dik Lun Lee(5), Binqiang Zhao(4), Qiwei Chen(3), Andreas Pfadler(3), Hong Wen(3), Quan Lin(3), Keping Yang(3), Jizhe Wang(2), Zhibo Zhang(2), Wei Li(2), Wenwu Ou(2), Zhiyuan Liu(2), Mengmeng Wu(2), Yuchi Xu(2), Guoliang Kang(2), Wei Li(2), Wen Chen(2), Jiaming Xu(2)