Weipeng Yan

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JD.com, Inc.

Probing Product Description Generation via Posterior Distillation

In product description generation (PDG), the user-cared aspect is critic...
03/02/2021 ∙ by Haolan Zhan, et al. ∙ 0 ∙ share

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DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network

Click through rate(CTR) prediction is a core task in advertising systems...
11/24/2020 ∙ by Junyou He, et al. ∙ 0 ∙ share

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BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search

Relevance has significant impact on user experience and business profit ...
10/20/2020 ∙ by Yunjiang Jiang, et al. ∙ 0 ∙ share

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Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Click-through rate (CTR) prediction is one of the fundamental tasks for ...
10/02/2020 ∙ by Hu Liu, et al. ∙ 0 ∙ share

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Group-wise Contrastive Learning for Neural Dialogue Generation

Neural dialogue response generation has gained much popularity in recent...
09/16/2020 ∙ by Hengyi Cai, et al. ∙ 0 ∙ share

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Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint

Product search is the most common way for people to satisfy their shoppi...
07/24/2020 ∙ by Zhuojian Xiao, et al. ∙ 6 ∙ share

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Category-Specific CNN for Visual-aware CTR Prediction at JD.com

As one of the largest B2C e-commerce platforms in China, JD.com also pow...
06/18/2020 ∙ by Hu Liu, et al. ∙ 0 ∙ share

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Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...
06/03/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...
06/03/2020 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction

Improving the performance of click-through rate (CTR) prediction remains...
11/03/2019 ∙ by Yikai Wang, et al. ∙ 0 ∙ share

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Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction

The recommender system is an important form of intelligent application, ...
03/22/2019 ∙ by Dongyang Zhao, et al. ∙ 0 ∙ share

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Weipeng Yan

Featured Co-authors

Bo Zhang

Jian Li

Hao Peng

Han Zhang

Lin Liu

Yanyan Lan

Hao Yang

Fuchun Sun

Liang Zhang

Di Jin

Yang He

Probing Product Description Generation via Posterior Distillation

DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Group-wise Contrastive Learning for Neural Dialogue Generation

Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint

Category-Specific CNN for Visual-aware CTR Prediction at JD.com

Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction

Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction