Yu Gong

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Taobao ∙ NetEase, Inc

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data

Learning from heterogeneous data poses challenges such as combining data...
02/25/2021 ∙ by Yu Gong, et al. ∙ 0 ∙ share

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Revisit Recommender System in the Permutation Prospective

Recommender systems (RS) work effective at alleviating information overl...
02/24/2021 ∙ by Yufei Feng, et al. ∙ 0 ∙ share

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Personalized Adaptive Meta Learning for Cold-start User Preference Prediction

A common challenge in personalized user preference prediction is the col...
12/22/2020 ∙ by Runsheng Yu, et al. ∙ 0 ∙ share

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Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning

Noises, artifacts, and loss of information caused by the magnetic resona...
11/27/2020 ∙ by Kehan Qi, et al. ∙ 0 ∙ share

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Distant Supervision for E-commerce Query Segmentation via Attention Network

The booming online e-commerce platforms demand highly accurate approache...
11/09/2020 ∙ by Zhao Li, et al. ∙ 0 ∙ share

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Balanced Order Batching with Task-Oriented Graph Clustering

Balanced order batching problem (BOBP) arises from the process of wareho...
08/19/2020 ∙ by Lu Duan, et al. ∙ 0 ∙ share

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EdgeRec: Recommender System on Edge in Mobile Taobao

Recommender system (RS) has become crucial module in commercial systems....
05/18/2020 ∙ by Yu Gong, et al. ∙ 0 ∙ share

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Parameter Constrained Transfer Learning for Low Dose PET Image Denoising

Positron emission tomography (PET) is widely used in clinical practice. ...
10/13/2019 ∙ by Yu Gong, et al. ∙ 19 ∙ share

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Conceptualize and Infer User Needs in E-commerce

Understanding latent user needs beneath shopping behaviors is critical t...
10/08/2019 ∙ by Xusheng Luo, et al. ∙ 0 ∙ share

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Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

Recently, interactive recommender systems are becoming increasingly popu...
06/24/2019 ∙ by Yu Zhu, et al. ∙ 0 ∙ share

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Exact-K Recommendation via Maximal Clique Optimization

This paper targets to a novel but practical recommendation problem named...
05/17/2019 ∙ by Yu Gong, et al. ∙ 0 ∙ share

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Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce

Nowadays, more and more customers browse and purchase products in favor ...
04/03/2019 ∙ by Jian-Guo Zhang, et al. ∙ 0 ∙ share

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Product Title Refinement via Multi-Modal Generative Adversarial Learning

Nowadays, an increasing number of customers are in favor of using E-comm...
11/11/2018 ∙ by Jianguo Zhang, et al. ∙ 0 ∙ share

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Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective

With the development of dialog techniques, conversational search has att...
10/08/2018 ∙ by Yunlun Yang, et al. ∙ 0 ∙ share

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Automatic Generation of Chinese Short Product Titles for Mobile Display

This paper studies the problem of automatically extracting a short title...
03/30/2018 ∙ by Yu Gong, et al. ∙ 0 ∙ share

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Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant

Slot filling is a critical task in natural language understanding (NLU) ...
03/30/2018 ∙ by Yu Gong, et al. ∙ 0 ∙ share

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Representing Verbs as Argument Concepts

Verbs play an important role in the understanding of natural language te...
03/02/2018 ∙ by Yu Gong, et al. ∙ 0 ∙ share

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Yu Gong

Featured Co-authors

Philip S. Yu

Xi Chen

Ming Li

Xin Liu

Deng Cai

Ge Wang

Greg Mori

Fei Sun

Bo An

Ye Liu

Yu Zhu

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data

Revisit Recommender System in the Permutation Prospective

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction

Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning

Distant Supervision for E-commerce Query Segmentation via Attention Network

Balanced Order Batching with Task-Oriented Graph Clustering

EdgeRec: Recommender System on Edge in Mobile Taobao

Parameter Constrained Transfer Learning for Low Dose PET Image Denoising

Conceptualize and Infer User Needs in E-commerce

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

Exact-K Recommendation via Maximal Clique Optimization

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce

Product Title Refinement via Multi-Modal Generative Adversarial Learning

Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective

Automatic Generation of Chinese Short Product Titles for Mobile Display

Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant

Representing Verbs as Argument Concepts